🛡️ Security Blueprint¶

📘 What Is a Security Blueprint?¶

A Security Blueprint is a structured, agent-generated artifact that defines the security posture, policy enforcement, and compliance mapping for a ConnectSoft-generated component — whether it's a microservice, module, API gateway, or library.

It represents the security definition of record, created during the generation pipeline and continuously evaluated by downstream DevSecOps agents and CI/CD pipelines.

In the AI Software Factory, the Security Blueprint is not just documentation — it's a machine-readable contract for security expectations and enforcement.

🧠 Blueprint Roles in the Factory¶

The Security Blueprint plays a pivotal role in making security composable, observable, and auditable:

🔐 Defines identity boundaries, RBAC scopes, and secrets usage
🔍 Maps controls to compliance and risk models (e.g., SOC2, ISO 27001)
🧠 Enables AI agents to enforce security at codegen, test, infra, and runtime
📊 Drives SIEM/telemetry hooks and threat detection thresholds

It ensures that security is not an afterthought, but a first-class agent responsibility in the generation pipeline.

🧩 Blueprint Consumers and Usage¶

Stakeholder / Agent	Usage
`Security Architect Agent`	Designs the blueprint content and structure
`Security Engineer Agent`	Implements runtime integrations (e.g., secrets, scans, tracing)
`Penetration Testing Agent`	Attacks and validates the security assumptions
`DevOps Pipeline Agent`	Triggers validation, mutation checks, and enforcement policies
`CI/CD Pipeline`	Blocks deploy if blueprint violations are found
`Audit & Governance Agents`	Trace compliance gaps or history of blueprint versions

🧾 Output Shape¶

Each Security Blueprint is saved as:

📘 Markdown: human-readable form for inspection and design validation
🧾 JSON: machine-readable structure for automated enforcement
📜 OPA/Rego: output policies for Open Policy Agent where applicable
🧠 Embedding: vector-encoded for memory graph and context tracking

📁 Storage Convention¶

blueprints/security/{component-name}/security-blueprint.md
blueprints/security/{component-name}/security-blueprint.json
blueprints/security/{component-name}/opa/security.rego

🎯 Purpose and Motivation¶

The Security Blueprint exists to solve one of the most persistent problems in modern software delivery:

“Security is either bolted on too late or inconsistently enforced across environments, modules, and teams.”

In the ConnectSoft AI Software Factory, security is integrated at the blueprint level, making it:

✅ Deterministic (agent-generated, based on traceable inputs)
✅ Repeatable (diffable and validated through CI/CD)
✅ Observable (integrated with metrics, logs, and alerts)
✅ Composable (aligned with service and infra blueprints)

🚨 Problems It Solves¶

Problem Area	How the Security Blueprint Helps
🧩 Inconsistent RBAC	Applies role and scope standards across services and APIs
🔑 Secrets Mismanagement	Defines secrets as references, not raw values
🔐 Missing Auth Guards	Validates that APIs, jobs, and functions enforce authentication
🛡️ Fragmented Penetration	Links threats and test vectors to policy assumptions
📉 Lack of Drift Detection	Tracks blueprint mutations and configuration drift over time
🔍 Opaque Security Contracts	Makes security expectations visible to other agents and orchestrators

🧠 Why Blueprints, Not Just Policies?¶

While traditional environments rely on ad hoc policy scripts or security tests, the Factory approach uses blueprints because:

Blueprints are memory-linked to every module and trace ID
They are machine-generated and human-readable
They support forward/backward analysis across versions and changes
They coordinate multiple agents across Dev, Ops, and Sec clusters

This allows security to be treated as code — but also as a living architectural asset.

🧠 Agent-Created, Trace-Ready Artifact¶

In the ConnectSoft AI Software Factory, the Security Blueprint is not written manually — it is generated, enriched, and validated by multiple agents, then stored as part of the system's memory graph.

This ensures every security contract is:

📌 Traceable to its origin prompt or product feature
🔁 Regenerable with context-aware mutation
📊 Auditable through observability-first design
🧠 Embedded into the long-term agentic memory system

🤖 Agents Involved in Creation¶

Agent	Responsibility
`🛡️ Security Architect Agent`	Designs and structures the blueprint format and content
`🧠 Security Engineer Agent`	Populates secrets, RBAC, tokens, cryptographic details
`🧪 Penetration Testing Agent`	Uses the blueprint to generate exploit simulations and DFD validation
`🔐 Identity Agent`	Integrates user/service identities and federated auth flows
`🚀 Pipeline Agent`	Applies CI/CD mutation rules, validation gates, and rollback logic

Each agent contributes signals, decisions, and enriched metadata to create a complete, executable artifact.

📈 Memory Traceability¶

Security Blueprints are:

🔗 Linked to the project-wide trace ID
📂 Associated with the microservice, module, or gateway
🧠 Indexed in vector memory for AI reasoning and enforcement
📜 Versioned and tagged (v1, approved, drifted, etc.)

This makes the blueprint machine-auditable, AI-searchable, and human-explainable.

📁 Example Storage and Trace Metadata¶

traceId: trc_45fa_AuthService_v1
agentId: sec-architect-001
serviceName: AuthService
securityProfile: strict
tags:
  - jwt
  - secrets
  - RBAC
  - production
version: v1
state: approved

📦 What It Captures¶

The Security Blueprint encodes a comprehensive set of security dimensions that affect a service or module throughout its lifecycle — from build to runtime.

It defines what needs to be secured, how, and under what constraints — making it a living contract between the generated component and its operational environment.

🔐 Core Security Elements Captured¶

Category	Captured Details
Authentication	JWT setup, OAuth2 providers, token lifetimes, identity propagation
Authorization	Role-based access controls (RBAC), scope enforcement, tenant isolation
Secrets & Credentials	Vault paths, key references, injection strategy, rotation policies
Transport Security	TLS enforcement, mTLS support, cipher suite profiles
Data Protection	Field-level encryption, PII redaction, at-rest encryption strategies
Threat Detection	Anomaly detection rules, logging thresholds, audit trail bindings
Security Testing	Linked test scenarios, exploit coverage, active scanning hooks
Hardening Settings	Rate limits, headers, timeout rules, input validation defaults
Runtime Policies	WAF signatures, OPA/Rego checks, egress filters, sandbox profiles

📎 Blueprint Snippet (Example)¶

authentication:
  provider: oauth2
  jwt:
    issuer: https://auth.example.com
    audience: factory-agents
    token_lifetime_minutes: 60

authorization:
  roles:
    - role: admin
      scopes: [users.read, users.write, config.modify]
    - role: viewer
      scopes: [users.read]

secrets:
  vault_ref: secrets/authservice/db-connection-string
  inject_as: env

🧠 Cross-Blueprint Intersections¶

Vision Blueprint → defines critical assets to protect
Microservice Blueprint → defines endpoints and runtime boundaries
Infrastructure Blueprint → defines runtime overlays and secret storage strategy

The Security Blueprint aggregates, links, and applies security rules across all of these — ensuring coherence and alignment.

🗂️ Output Formats and Structure¶

The Security Blueprint is generated and consumed across multiple layers of the AI Software Factory — from human-readable design reviews to machine-enforced CI/CD policies.

To support both automation and collaboration, it is produced in four coordinated formats, each aligned with a different set of use cases.

📄 Human-Readable Markdown (`.md`)¶

Used in Studio, code reviews, audits, and documentation layers.

Sectioned by category: auth, secrets, RBAC, policies
Rich formatting and annotations
Includes YAML code samples and policy excerpts
Links to upstream and downstream blueprints

📜 Machine-Readable JSON (`.json`)¶

Used by agents, pipelines, and enforcement scripts.

Flattened and typed
Includes metadata and trace headers
Validated against a shared schema
Compatible with policy-as-code validators

Example excerpt:

{
  "traceId": "trc_78fa_auth_service",
  "auth": {
    "provider": "jwt",
    "issuer": "https://auth.connectsoft.io",
    "scopes": ["read", "write"]
  },
  "rbac": {
    "roles": {
      "admin": ["*"],
      "user": ["read"]
    }
  }
}

🔁 CI/CD Compatible Snippets (`.yaml` fragments)¶

Used to inject security logic into pipelines or sidecars.

Example: GitHub Actions step to validate JWT claims
Helm overlay for injecting secrets into pods
Rego file snippets for OPA security policies

🧠 Embedded Memory Shape (Vectorized)¶

Captured in agent long-term memory
Indexed by concept (e.g., jwt, mTLS, vault)
Linked to all agent discussions, generations, and validations
Enables trace-based enforcement and reuse

📁 Naming Convention¶

blueprints/security/{service-name}/security-blueprint.md
blueprints/security/{service-name}/security-blueprint.json

Each blueprint instance is traceable to a single component.

🧑‍🤝‍🧑 Who Consumes the Security Blueprint¶

The Security Blueprint is not an isolated artifact. It is actively consumed across the ConnectSoft AI Software Factory by agents, humans, and CI systems to enforce, validate, and evolve secure-by-design practices.

Each consumer interprets the blueprint differently based on its context, but all share a common source of truth.

🔁 Agent Consumers¶

Agent	Role in Consumption
`🛡️ Security Architect Agent`	Validates alignment with platform-wide policies, updates constraints
`🔒 Security Engineer Agent`	Generates secrets and hardening configuration from blueprint data
`📊 Observability Agent`	Ensures security logs, audit trails, and threat metrics are bound to this blueprint
`🚀 CI/CD Pipeline Agent`	Injects tests, gates, and policies into deployment steps
`📦 Infrastructure Engineer Agent`	Uses it to configure sidecars, secrets, WAF, and network policies
`🧪 Penetration Testing Agent`	Selects attack vectors based on blueprint threats and assumed protections

👤 Human Stakeholders¶

Role	Value Derived from Security Blueprint
Security Lead	Verifies controls, designs policies, participates in threat model validation
QA Lead	Confirms test plans include authentication/authorization validation
DevOps Engineer	Applies access controls, ensures token injection works across environments
Developer	Understands expected auth flows and required permissions for their endpoints
Compliance Officer	Maps blueprint to ISO/SOC2/NIST controls for audit purposes

🧠 Machine Consumers¶

GitOps systems: verify drift in policies and secrets
OPA/Gatekeeper: enforce blueprint-aligned RBAC rules at admission time
Security scanners: compare declared config to detected surface
Memory Indexing Layer: links blueprint security assertions to downstream tickets and alerts

The Security Blueprint becomes a boundary contract, providing guarantees that must be respected by infrastructure, services, APIs, and CI/CD processes alike.

🧭 Blueprint Location, Traceability, and Versioning¶

A Security Blueprint is not just content — it’s a traceable artifact, part of a multi-agent lineage graph, and lives at a predictable location in the Factory’s file and memory hierarchy.

This enables cross-agent validation, rollback, comparison, and regeneration.

📁 File System Location¶

Each blueprint is stored in a consistent location within the Factory workspace:

blueprints/security/{service-name}/security-blueprint.md
blueprints/security/{service-name}/security-blueprint.json

Markdown is human-readable and Studio-rendered.
JSON is parsed by orchestrators and enforcement agents.

🧠 Traceability Fields¶

Each blueprint includes a set of required metadata fields for trace alignment:

Field	Purpose
`traceId`	Links blueprint to full generation pipeline
`agentId`	Records which agent(s) emitted the artifact
`originPrompt`	Captures human-initiated signal or intent
`createdAt`	ISO timestamp for audit
`securityLevel`	Level of criticality (low, medium, high)

These fields ensure full trace and observability for regeneration, validation, and compliance review.

🔁 Versioning and Mutation Tracking¶

Mechanism	Purpose
`v1`, `v2`, ...	Manual or automatic version bumping by agents
`diff-link:` metadata	References upstream and downstream changes
GitOps snapshot tags	Bind blueprint versions to commit hashes or releases
Drift monitors	Alert if effective security config deviates

📜 Mutation History Example¶

metadata:
  traceId: "trc_7g62f_apigw_customer"
  agentId: "sec-arch-agent"
  originPrompt: "Add mTLS to internal APIs"
  createdAt: "2025-06-07T10:15:00Z"
  version: "v2"
  diffFrom: "v1"
  changedFields: ["transportSecurity.mTLS.enabled"]

These mechanisms ensure that security is not an afterthought, but a tracked, versioned, observable system artifact.

🔐 Authentication Strategies and Enforcement¶

Authentication is the first line of defense for any module or service within the Factory. The Security Blueprint explicitly declares how authentication is enforced, what protocols and providers are used, and which layers participate in verifying identity.

✅ Common Authentication Modes¶

Strategy	Description	Example Use Case
`JWT`	Signed JSON Web Tokens with claims and expiry	API Gateway for mobile clients
`mTLS`	Mutual TLS with certificate-based identity verification	Internal service-to-service calls
`OAuth2`	Token-based flow with identity delegation	External integrations, browser SSO
`API Key`	Header or query param keys for non-interactive automation	Webhooks, internal jobs
`Basic Auth`	(Discouraged) Legacy username/password flows	Legacy admin panels

Agents enforce best practices: no plaintext passwords, tokens must expire, no wildcard scopes.

📌 Blueprint Declarations¶

The blueprint explicitly includes an auth section defining the full identity enforcement setup:

auth:
  strategy: jwt
  issuer: https://auth.connectsoft.io
  audience: customer-api
  scopes: ["read:orders", "write:orders"]
  enforcementLayer: ["gateway", "service"]

🎯 Enforcement Layers¶

Authentication can be enforced in multiple layers depending on system needs:

API Gateway: Reject unauthorized requests before routing
Application Layer: Validate claims and scopes
gRPC Middleware: Intercepts and validates metadata headers
Sidecar/Envoy Filters: Inline enforcement of mTLS or headers

🧠 Agent Behaviors¶

Agent	Enforcement Role
`Security Engineer Agent`	Determines proper strategy, injects policies into blueprint
`Infrastructure Engineer Agent`	Ensures ingress and sidecars align with declared authentication
`Penetration Testing Agent`	Probes bypass attempts and verifies enforcement

Authentication strategy must be declarative, enforced, and testable, with all changes tracked and trace-linked.

🧾 Authorization and Role-Based Access Control (RBAC)¶

After identity is verified via authentication, the next critical security layer is authorization — determining what the identity is allowed to do. The Security Blueprint defines this through RBAC schemas, policy rules, and fine-grained access mappings.

🎭 Authorization Types¶

Type	Description	Typical Use Case
RBAC	Role-Based Access Control — maps roles to allowed actions	Admin/User/Viewer in dashboards
ABAC	Attribute-Based Access Control — rules depend on claims/context	Only allow access if `clientId == userId`
ReBAC	Relationship-Based — access derived from graph of relationships	Team-level collaboration tools
Hardcoded	Inline checks in app logic (discouraged)	Legacy systems only

💡 RBAC is preferred for services with predictable roles and bounded actions.

📐 Blueprint Schema Example¶

authorization:
  model: rbac
  roles:
    - name: admin
      permissions: ["read:any", "write:any"]
    - name: user
      permissions: ["read:own", "write:own"]
  enforcement:
    location: ["service", "gateway"]
    mechanism: claims-check

🎯 Enforcement Layers¶

Authorization policies can be enforced at multiple levels:

API Gateway: Reject requests that lack proper scope/role
Service Middleware: Intercept and verify against role-permission map
Domain Layer: Apply ABAC checks inside aggregates
Database: Row-level security (if supported)

🔐 Key Properties¶

Field	Meaning
`roles`	Canonical roles defined per service/module
`permissions`	Allowed actions per role (often verb:resource)
`enforcement`	Where and how to validate — gateway, service, database
`fallbackPolicy`	What happens when no role match (deny, limited, alert)

🤖 Agent Participation¶

Agent	Role
`Security Architect Agent`	Defines access patterns, constructs role hierarchy
`Security Engineer Agent`	Injects enforcement middleware or policy templates
`Test Case Generator Agent`	Produces auth tests for boundary roles (admin, guest, etc.)

The Security Blueprint ensures that access control is not an afterthought, but a declared, testable, enforced dimension of service behavior.

🔑 Secrets Management & Token Injection¶

Services in the Factory require access to secrets — whether they're API keys, database passwords, signing certificates, or OAuth2 tokens. The Security Blueprint defines how secrets are stored, accessed, rotated, and injected at runtime, in a secure, observable, and compliant manner.

🔐 Secret Types¶

Type	Description	Examples
🔑 Static Secrets	Fixed values for credentials, encryption, etc.	DB password, SMTP API key
🔁 Rotating Tokens	Time-bound secrets with scheduled regeneration	Azure Managed Identity, GitHub token
🧾 Signing Certificates	Private keys for JWT signing, mTLS handshakes	PEM keys, X.509 certs
🔓 Derived Secrets	Computed or decrypted at runtime from secure base	Hash-based API signatures

📦 Secret Storage Mechanisms¶

Backend	Description	Agent Interaction
Azure Key Vault	Encrypted cloud-managed secret vault	Preferred in Azure setups
Kubernetes Secrets	Mounted secrets (base64-encoded) in pods	Only when properly RBAC-limited
Environment Vars	Injected via CI/CD or entrypoint scripts	For local development or low-sensitivity
HashiCorp Vault	Advanced dynamic secret management	Optional, for enterprise scenarios

🚫 Hardcoded secrets or secrets in Git are strictly forbidden.

🔁 Injection Strategies¶

Sidecar Injector (Mutating Webhook): Adds secrets to containers transparently.
Init Container Download: Pulls secrets and mounts securely at runtime.
EnvVar Mapping via CI: Loads from secure pipeline and exports on deploy.
Runtime Fetch via SDK: Code fetches secrets from vault (e.g., Azure SDK).

Example Blueprint Snippet:

secrets:
  store: azure-key-vault
  injectedBy: sidecar
  required:
    - name: db-connection-string
      usage: orm
      scope: service
    - name: jwt-private-key
      usage: signing
      scope: gateway

🧠 Agent Roles¶

Agent	Role
`Security Engineer Agent`	Selects appropriate store, defines injection policies
`Infrastructure Engineer Agent`	Sets up mounting/injection in Bicep/Kubernetes
`Pipeline Agent`	Pulls from secret stores during CI and prepares safe exports

Proper secrets management is the foundation for trust and zero-trust design. The Security Blueprint ensures these are declared, injected securely, and never hardcoded.

🔐 Transport Security and Protocol Hardening¶

Transport-level security protects data in motion between services, clients, and external systems. The Security Blueprint defines how all communication channels are protected against eavesdropping, tampering, and downgrade attacks.

🚚 Transport Security Protocols¶

Protocol	Purpose	Enforced by
TLS 1.2/1.3	Encrypt HTTP/gRPC traffic	Gateway, Load Balancer, Ingress
mTLS	Verify both client and server	Service mesh, sidecar proxies
HTTPS Only	Mandatory encrypted web traffic	API Gateway, Frontend hosts
gRPC + TLS	Encrypted service-to-service calls	Application layer, K8s ingress
WebSocket TLS	Secure bidirectional channels	Real-time services

❗ All inter-service traffic must be TLS-encrypted — even in internal Kubernetes networks.

🛡️ Blueprint Transport Enforcement Block¶

transportSecurity:
  enforceHttps: true
  enforceTlsVersion: "1.2+"
  enableMtls: true
  mtls:
    trustedCa: "internal-ca"
    scope: "inter-service"

📐 Additional Protocol Hardening Options¶

Control	Description
`Strict-Transport-Security`	Force HTTPS redirects and enforce max-age
`TLS Minimum Version`	Drop legacy TLS 1.0 and 1.1
`Connection Timeouts`	Prevent long-hanging TCP attacks
`ALPN Negotiation`	Enforce HTTP/2 or gRPC selection
`Session Ticket Rotation`	Avoid long-lived encryption sessions

🤖 Agent Responsibilities¶

Agent	Role
`Security Architect Agent`	Defines protocol matrix and mTLS posture
`Infrastructure Engineer Agent`	Configures ingress gateway (NGINX, Envoy, Istio) with proper certs
`DevOps Agent`	Ensures TLS certs issued via ACME or Azure-managed certs

All services in the ConnectSoft ecosystem must enforce confidentiality, integrity, and authenticity at the transport layer — traceably declared in the Security Blueprint.

🛑 Secure Defaults and Deny-By-Default Posture¶

A fundamental principle in secure system design is:

“Everything is denied unless explicitly allowed.”

The Security Blueprint enforces this by defining secure-by-default behaviors, which are automatically applied to every service, gateway, and runtime artifact unless overridden with justification.

🧱 Secure Defaults Checklist¶

Area	Default Behavior	Overridable?
🔒 Auth Required	All APIs require authentication	❌ No
❌ No Open CORS	CORS is disabled by default	✅ With policy
🚫 Egress Firewall	No external egress allowed (zero-trust posture)	✅ With CIDR
🗂 Data Minimization	Logs redact PII/PHI by default	✅ By role
📦 Dependency Pinning	No wildcard dependencies in NuGet/npm	❌ No
✋ Rate Limits	Low default per-IP and per-token thresholds	✅ Per usage
❗ Logging Levels	Default to `Information`, block `Debug`/`Trace` in prod	✅ With policy

📘 Blueprint Declaration Example¶

secureDefaults:
  authRequired: true
  corsPolicy: deny-all
  allowedEgressCidrs: []
  redactSensitiveLogs: true
  dependencyPinning: true
  rateLimit:
    perIp: 50r/m
    perToken: 200r/m
  logging:
    defaultLevel: Information
    allowDebugInProd: false

🧠 Why This Matters¶

Secure defaults provide safety without requiring perfect human behavior. They ensure:

New services don’t accidentally expose APIs without auth
Sensitive logs aren’t leaked from debug statements
No egress channels are left open unintentionally
Secure posture remains even when developers forget a config

🧠 Agent Collaboration¶

Agent	Role
`Security Architect Agent`	Defines org-wide secure posture
`Infrastructure Engineer Agent`	Implements defaults at K8s/Envoy/nginx template level
`Test Validator Agent`	Scans for missing/violated defaults

🧠 All services start hardened — permissiveness must be explicit, justified, and traceable.

🧠 Threat Modeling Artifacts & Risk Posture Tags¶

The Security Blueprint embeds threat modeling intelligence into each generated service, module, or gateway. This allows all security-aware agents and tools to proactively adjust posture, tests, and policies based on threat classification and risk level — not just blindly applied rules.

🧩 Threat Modeling Blocks¶

Each blueprint includes:

Section	Description
🎯 `assetClassification`	Indicates sensitivity: `public`, `internal`, `confidential`, `regulated`
🛠 `attackSurface`	High-level exposure points: APIs, messages, secrets, etc.
⚠ `threatVectors`	Known threats based on service function and exposure
🧱 `riskMitigations`	Countermeasures tied to identified risks
🏷 `riskTags`	Taggable indicators (e.g., `pii`, `payment`, `jwt`, `edge-facing`)

📘 Example Blueprint Snippet¶

threatModel:
  assetClassification: confidential
  attackSurface:
    - restApi
    - grpcInbound
    - outboundHttp
  threatVectors:
    - injection
    - privilegeEscalation
    - replayAttack
  riskTags:
    - pii
    - internal-auth
    - edge-facing
  riskMitigations:
    - validateAllInput
    - rateLimitEdgeApis
    - expiringTokensWithNonce

🤖 Agent Usage¶

Agent	Behavior
`Security Architect Agent`	Classifies service type, tags vectors, defines mitigations
`Test Case Generator Agent`	Creates cases for each known threat vector
`Observability Agent`	Marks flows to audit/tag when threats are present
`Penetration Testing Agent`	Selects exploits based on declared vectors and tags

🧠 Risk-Aware Memory Graphs¶

All blueprint threat vectors and risk tags are:

Embedded semantically into the long-term memory graph
Linked to related services that share risk exposure
Usable by orchestration agents to trigger reviews or regeneration

🎯 This creates traceable, contextualized threat awareness across all services in the Factory.

🐳 Runtime Hardening & Container Security¶

In the ConnectSoft AI Software Factory, every microservice and component is containerized — but containers aren’t secure by default. The Security Blueprint defines runtime protections, container-level constraints, and hardening controls to defend against escape, tampering, or privilege misuse.

🔐 Key Hardening Features¶

Control	Purpose
🔒 Read-Only Filesystem	Prevent in-container file tampering
🛑 Non-Root Execution	Block UID 0 inside container
🔎 Minimal Base Images	Reduce attack surface (e.g., `distroless`, `alpine`, scratch)
🔍 Process Whitelisting	Disallow unknown process trees (AppArmor/SELinux)
🚫 No Privileged Mode	Block container capabilities escalation
📦 Image Signature Verif.	Verify images signed by trusted source (e.g., Notary, Cosign)

📘 Blueprint Runtime Block¶

containerSecurity:
  runAsNonRoot: true
  readOnlyFilesystem: true
  allowPrivilegeEscalation: false
  baseImage: "ghcr.io/connectsoft/base-dotnet8:distroless"
  signatureVerification:
    enabled: true
    trustedIssuers:
      - "cosign.connectsoft.io"

🔍 Scan & Verification Hooks¶

Mechanism	Tool / Approach
Image Scanning	Trivy, Grype, Docker Scout
Signature Validation	Cosign, Notary v2
Runtime Policies	OPA Gatekeeper, Kyverno, AppArmor
Build-time Filters	Supply chain security pipeline plugins

🤖 Agent Collaboration¶

Agent	Role
`Infrastructure Engineer Agent`	Applies hardened Dockerfile/base image policies
`Security Architect Agent`	Designs allowed execution model & trusted issuers
`CI/CD Pipeline Agent`	Runs image validation, signature check, and container audit plugins
`Penetration Testing Agent`	Attempts runtime escape / sandbox bypass on generated containers

📦 Each service inherits and customizes a container hardening profile — traceable in the blueprint and enforceable in runtime.

🔐 Authentication Strategies & Token Handling¶

Authentication is the first gate for any interaction — API, event, UI, or CLI. The Security Blueprint specifies how identity is verified, which token types are supported, and how tokens are validated and propagated.

🧩 Supported Authentication Models¶

Model	Description	Usage Context
🔐 OAuth 2.0 / OIDC	Standard for user and service auth via ID and Access Tokens	APIs, Web, Mobile, Services
🔑 JWT Tokens	Signed tokens (JWK/RS256) for bearer auth	Microservice-to-microservice
🪪 mTLS Identity	Mutual TLS with cert-based auth for internal mesh traffic	Kubernetes services, gateways
🛂 API Keys	For external integrations with scoped capabilities	Public APIs, third-party systems
🧠 AI Tokens	Semantic token claims with context and expiration	AI-first services, orchestrators

📘 Blueprint Snippet Example¶

authentication:
  primary: oidc
  oidc:
    issuer: "https://identity.connectsoft.ai"
    audiences:
      - "service.api"
    signature:
      alg: RS256
      jwksUri: "https://identity.connectsoft.ai/.well-known/jwks.json"
  fallback:
    - apiKey
  propagation:
    - jwt
    - correlationId
    - traceParent

🧠 Best Practices Included by Default¶

Issuer and audience validation enforced on all endpoints
Token expiration checks with optional leeway
Correlation propagation using W3C traceparent headers
Token replay prevention for critical flows
AI-annotated token metadata for traceability in memory graphs

🤖 Agent Collaboration¶

Agent	Role
`Security Architect Agent`	Defines strategies per domain or trust boundary
`Infrastructure Engineer Agent`	Injects middlewares and validation libraries
`DevOps Deployment Agent`	Configures trust store, JWKS caching, token propagation
`Observability Agent`	Links token activity to trace logs and service spans

🧠 Authentication is not just a gate — it's a data-carrying actor context, traceable in every hop of the system.

🛂 Authorization Models & Role Hierarchies¶

Once authenticated, services must decide what the identity can do. The Security Blueprint defines granular authorization policies, role hierarchies, and domain-level access rules that are enforced consistently across the Factory.

🧩 Supported Authorization Models¶

Model	Description	When Used
🔐 Role-Based Access Control (RBAC)	Classic model: permissions tied to roles	Internal apps, admin panels
📦 Resource-Based Policies	Access tied to a resource instance or ownership	Multi-tenant SaaS, scoped objects
🧠 Context-Aware Rules	Dynamic policies based on context (env, feature flags)	Feature gating, AI agents, orchestration
📚 Attribute-Based Access Control (ABAC)	Evaluates claims like department, level, org	Enterprise integrations

🧱 Role Hierarchy Convention¶

authorization:
  strategy: rbac
  roles:
    - name: Admin
      inherits: []
      permissions:
        - manage_all
    - name: Manager
      inherits: [User]
      permissions:
        - approve_workflows
        - view_reports
    - name: User
      inherits: []
      permissions:
        - view_dashboard
        - submit_request
  resourcePolicies:
    - resource: "Project"
      condition: "owner == currentUserId"
      actions: ["view", "update", "delete"]

🎯 Features Built into Blueprint¶

📚 Hierarchical role resolution with inherits
🧠 Agent-readable policies (parsed by Test and Audit agents)
🔄 Linked to domain entities and aggregate ownership
🔐 Fine-grained permissions tied to controller/method levels
🔎 Traceable denials for observability and debugging

🤖 Agent Collaboration¶

Agent	Role
`Security Architect Agent`	Designs RBAC/ABAC models per module, defines global roles
`Test Generator Agent`	Generates positive/negative tests for permission boundaries
`Orchestrator Agent`	Applies policies at API gateway and microservice level
`Observability Agent`	Logs unauthorized access attempts for audit

🔐 With well-structured authorization blueprints, even zero-trust enforcement becomes predictable and auditable.

🔑 Secret Management & Secure Configuration¶

Secrets are the lifeblood of operational security — tokens, passwords, keys, and credentials must be stored, rotated, and accessed with precision. The Security Blueprint specifies how secrets are managed, injected into environments, and validated across agents and environments.

🔐 Secret Types Covered¶

Secret Type	Examples	Common Use Cases
🔑 API Keys	Stripe, Segment, Twilio, Braze keys	3^rd-party integrations
🔏 Credentials	DB passwords, SMTP logins, internal services	System-to-system authentication
🔐 Certificates	TLS certs, mTLS client certs, SSH identities	Transport security and mesh auth
🧠 AI Keys & Tokens	OpenAI, Azure OpenAI, model endpoints	Semantic services and agents
📦 Container Secrets	Docker pull secrets, registry auth tokens	CI/CD and image pulls

🔁 Blueprint Secret Flow¶

secrets:
  provider: azureKeyVault
  vaultUri: "https://secrets.connectsoft.ai/"
  items:
    - name: "OpenAI__ApiKey"
      usage: "AI Agent runtime"
    - name: "Database__Password"
      usage: "Primary PostgreSQL connection"
  injection:
    - environmentVariable
    - sidecar
    - volumeMount
  rotationPolicy:
    type: "timeBased"
    interval: "30d"

🧰 Supported Secret Providers¶

Provider	Notes
Azure Key Vault	Fully integrated, agent-addressable
Kubernetes Secrets	Used for in-cluster ephemeral values
HashiCorp Vault	Optional for advanced policies, short-lived credentials
Pulumi Encrypted Secrets	For IaC secrets tracking

📋 Security Features Built-In¶

🔒 Environment-specific overrides
🔁 Automated secret rotation with metadata hooks
🧠 Memory links to usage context (e.g., agent that generated token)
📦 No secrets in source control — enforced via commit hooks
📊 Audit logs for secret access and mutation

🤖 Agent Collaboration¶

Agent	Role
`Infrastructure Engineer Agent`	Injects secrets as env vars or mounts per runtime profile
`Security Architect Agent`	Validates usage and rotation policies
`CI/CD Pipeline Agent`	Pulls secrets during secure build and release stages
`Cloud Architect Agent`	Ensures cloud-level policy and identity-based access

🔐 In the Factory, secrets are not opaque strings — they are typed, context-linked, and life-cycle managed.

🧾 Dependency Security & SBOM (Software Bill of Materials)¶

Modern applications rely on thousands of third-party packages and transitive dependencies. The Security Blueprint enforces a rigorous model for tracking, validating, and attesting these dependencies across services, libraries, and environments.

🧩 SBOM Artifacts Generated¶

Format	Toolchain / Provider	Purpose
📄 `CycloneDX`	OWASP CycloneDX	Agent-readable SBOM format
📜 `SPDX`	Linux Foundation SPDX	Legal and license attestation
🔍 `Sarif`	Code analysis results	Used in static scanning pipelines

🔒 What Is Captured in the SBOM¶

📦 All direct and transitive dependencies
🏷️ Version and source origin
⚠️ Known vulnerabilities (CVEs)
📄 License metadata and compliance score
🧠 Linked to code repo, image, and module blueprint

🛡️ Dependency Risk Policies¶

dependencySecurity:
  enforceSbom: true
  scanOnBuild: true
  allowedLicenses:
    - MIT
    - Apache-2.0
    - BSD-3-Clause
  denylist:
    - log4j:2.14.0
    - vulnerable-lib-x
  alerts:
    - type: cveThreshold
      severity: HIGH
    - type: licenseViolation

🔁 Regeneration Triggers¶

✅ On agent-generated project scaffolding
🔁 On every pipeline execution
🔂 On package update (dotnet restore, npm install, etc.)
🧠 Triggered by changes in template-catalog or library-registry

🤖 Agent Collaboration¶

Agent	Role
`Security Architect Agent`	Defines approved licenses, CVE thresholds, and scanning policies
`Test Coverage Validator Agent`	Ensures all dependencies are covered by tests
`DevOps Deployment Agent`	Attaches SBOM to artifact and container registry metadata
`Observability Agent`	Tracks dependency usage across runtime traces and telemetry

🧬 Dependencies are not just build-time inputs — they are security assets tracked, scored, and versioned across time.

🛡️ Runtime Threat Detection & Response¶

Security doesn't end at deployment. The Factory embeds runtime threat detection into the infrastructure blueprint, allowing services to self-monitor, alert, and even auto-respond to anomalies or attacks.

🔍 Threat Detection Types¶

Detection Type	Examples	Triggered By
🚨 Behavior Anomalies	Unexpected spikes, outbound connections, etc.	Metrics & logs analysis
🔐 Unauthorized Access	Repeated 403s, invalid tokens, IP mismatches	API Gateway + Auth logs
🧪 Injection & Exploits	SQLi, XSS, CSRF, SSRF attempts	WAF + application-level sanitization logs
🔁 Suspicious Recon Activity	Repeated schema probing, unknown agents	gRPC/REST trace patterns
🧬 Memory or CPU Spikes	Could indicate resource exhaustion attacks	K8s telemetry, App Insights, Prometheus

🧰 Detection Mechanisms¶

Tool / Layer	Role
OpenTelemetry (OTEL)	Structured trace anomaly correlation
Azure Defender / Sentinel	Advanced correlation, UEBA rules
Runtime Agents (eBPF)	Kernel-level hooks for syscall inspection
Application-level Guards	.NET middleware, MassTransit filters

🔁 Response Policies¶

threatResponse:
  enabled: true
  autoBlock:
    sourceIps:
      retryThreshold: 10
      timeWindow: "5m"
    blockDuration: "1h"
  alertChannels:
    - teams
    - opsgenie
    - slack
  escalationFlow:
    - notifyOnCallEngineer
    - triggerPlaybook("suspicious-api-pattern")

📦 Artifact Output¶

📈 Anomaly reports linked to traceId
🗂️ Threat incident logs tagged with service/module
🚨 Real-time security events stream (OpenTelemetry + SIEM)

🤖 Agent Collaboration¶

Agent	Role
`Observability Agent`	Collects, tags, and routes threat signals
`Security Architect Agent`	Defines thresholds and mitigation playbooks
`DevOps Deployment Agent`	Configures alerts and RBAC for incident response
`Penetration Testing Agent`	Validates and simulates attack paths pre-production

🔄 Detection and response must be real-time, observable, and programmable — not buried in logs.

🔒 Secure Inter-Service Communication¶

In a distributed system like the ConnectSoft AI Software Factory, every service interaction must be authenticated, authorized, and encrypted — not just user-facing APIs.

🔐 Transport Security Defaults¶

All service-to-service communication:

✅ Enforced over mutual TLS (mTLS)
🚀 Includes identity propagation via JWT or headers
🛑 Is denied by default unless explicitly authorized

📡 Identity & Propagation Chain¶

sequenceDiagram
    participant UI as Frontend
    participant GW as API Gateway
    participant MS as Microservice A
    participant DB as Microservice B

    UI->>GW: Bearer Token
    GW->>MS: Validated token + x-service-id + x-user-context
    MS->>DB: New mTLS connection + propagated identity

Hold "Alt" / "Option" to enable pan & zoom

🧩 Enforcement Locations¶

Layer	Mechanism	Tech Used
API Gateway	JWT validation, audience checks	YARP, Ocelot, Azure Front Door
Internal Mesh (optional)	mTLS with service identities	Linkerd, Istio, or Azure CNI
App Middleware	Claims validation, scopes	ASP.NET Core Middleware
Message Bus (e.g., MassTransit)	Encrypted payloads, headers	RabbitMQ with SSL/TLS

🔁 Policy Definition Example¶

serviceCommunication:
  enforceMtls: true
  defaultPolicy: deny
  allowedPairs:
    - source: "agent-service"
      target: "agent-orchestrator"
      authContext: "agentRole:vision"
    - source: "frontend-api"
      target: "user-profile-service"
      propagateIdentity: true

📦 Generated Artifacts¶

🔐 mTLS certificates with agent/service IDs
📄 Policy CRDs (if using service mesh)
📜 Service-to-service access manifest (access-matrix.yaml)
🔎 Propagation metadata schema for observability

🤖 Agent Collaboration¶

Agent	Role
`Security Architect Agent`	Defines allowable communication flows
`Infrastructure Architect Agent`	Embeds mTLS and mesh config
`Observability Agent`	Ensures traceability across service calls
`DevOps Deployment Agent`	Configures secret rotation, mounts certs into containers

🧠 Every service is a security perimeter. Secure communication ensures that the graph of microservices doesn’t become a graph of vulnerabilities.

🏢 Multi-Tenant Isolation & Access Enforcement¶

ConnectSoft’s AI Software Factory supports multi-tenant SaaS systems by default. The Security Blueprint encodes strict controls for data partitioning, tenant-aware access, and scoped operations at every layer of the stack.

🧩 Tenant Isolation Dimensions¶

Layer	Isolation Strategy
Database	Schema-based, Row-level Security (RLS), or DB-per-tenant
Message Bus	Tenant-specific topics or message headers
Identity & Auth	Tenant-scoped roles, claims, and scopes
API Layer	Tenant ID validation, route-level enforcement
Storage & Blob	Tenant-rooted paths, access policies
Compute & Queues	Per-tenant namespaces, throttling, and quotas

🔐 Enforcement Configuration Example¶

multiTenantSecurity:
  mode: "RLS"
  enforceTenantInJwt: true
  restrictApiToTenant: true
  storagePolicy:
    type: "blob-root"
    template: "tenants/{tenantId}/"
  messagingPolicy:
    validateHeaders: true
    requiredHeaders:
      - "x-tenant-id"

📡 Tenant Context Propagation¶

All calls and messages within the system propagate tenant ID with integrity and observability:

🧾 HTTP Headers: x-tenant-id, x-tenant-scope
📨 Message Bus Metadata: TenantId in headers and contracts
📊 Telemetry Tags: All traces, logs, and metrics include tenant context
🧠 Embedded in agent memory and trace lineage

🛡️ Policy Enforcement Points (PEPs)¶

Component	Enforcement Technique
API Gateway	Route scoping + tenant claim verification
Application Middleware	Auto-injection of tenant from JWT
ORM Layer (NHibernate/EFCore)	RLS filter per query/session
Blob/File Storage Layer	Prefixed or containerized per tenant

🤖 Agent Collaboration¶

Agent	Role
`Security Architect Agent`	Defines tenant policies and access matrix
`Infrastructure Engineer Agent`	Enforces separation at the platform level
`Test Case Generator Agent`	Creates cross-tenant and tenant-boundary tests
`Observability Agent`	Injects tenant identifiers into trace/log pipelines

🧱 Multi-tenancy is not a feature — it’s a system-wide contract. The blueprint ensures it’s enforced consistently, automatically, and observably.

🧪 Penetration Testing Automation¶

To maintain a Security-First SaaS Platform, the Security Blueprint includes provisions for automated penetration testing—driven by dedicated agents and seamlessly integrated into CI/CD.

These tests simulate real-world attack vectors and ensure that generated services and infrastructure remain resilient against common and emerging threats.

🔍 Blueprint-Declared Testing Scenarios¶

The blueprint defines attack surfaces to probe:

penetrationTesting:
  enabled: true
  frequency: "per-release"
  targetScopes:
    - api
    - auth
    - headers
    - sql-injection
    - path-traversal
    - service-discovery
  toolchain: ["OWASP ZAP", "Burp Suite", "custom fuzzers"]

🛠️ Automated Test Types¶

Category	Examples
Input Fuzzing	Boundary values, invalid inputs
Auth Bypass	Missing token, expired token, token replay
SQL/NoSQL Injection	Injection vectors in queryable endpoints
Header Tampering	XSS, CSRF, host injection
Directory Traversal	`../` patterns in file routes
Rate Limiting Bypass	Bursty/malformed requests

🤖 Penetration Testing Agents¶

Agent	Responsibility
`Security Penetration Testing Agent`	Executes automated black-box and white-box tests
`Security Engineer Agent`	Curates rulesets, test targets, and policies
`Test Automation Engineer Agent`	Integrates with CI/CD and ensures result traceability

📦 Output Artifacts¶

🧾 Structured test results with traceId and agent metadata
🚨 GitHub/Azure DevOps security alerts for failures
📊 Coverage metrics by vector type and endpoint group
🔁 Regression replays for failed scenarios

🔄 CI/CD Integration¶

✅ Runs in pre-release or staging pipeline phase
🛑 Can block deployment on critical findings
🔗 Linked to the corresponding security-blueprint.json for traceability

🧠 Security testing isn’t an afterthought — it’s an automated, versioned, first-class citizen in the AI Software Factory.

🧬 Static & Dependency Vulnerability Scanning¶

Security Blueprint defines proactive policies for scanning source code, configurations, and dependencies to detect vulnerabilities before runtime. This includes SAST (Static Application Security Testing) and dependency vulnerability scans integrated into the software factory’s pipelines.

🔍 Static Analysis Coverage¶

Scope	Description
Source Code	Scans C#, Razor, TypeScript, etc.
IaC Files	Bicep, YAML, Helm, Terraform
Secrets Detection	Hardcoded credentials, keys, tokens
Configuration Analysis	Misconfigured CORS, HTTPS-only, JWT settings

📦 Dependency Scanning¶

🔍 Transitive dependency graphs resolved from .csproj, package.json, etc.
🔐 CVE resolution via tools like Snyk, Dependabot, GitHub Advanced Security, OWASP Dependency-Check
🧠 Policy enforcement based on security-blueprint.json

✅ Tooling & Pipeline Hooks¶

Phase	Tools & Techniques
Pre-commit	Git hooks, secrets scanning (`truffleHog`)
CI Pipeline	SAST with Roslyn analyzers, ESLint, Bandit
SBOM Scan	CycloneDX → CVE check, license validation
Post-build	SARIF report generation, GitHub code scanning

📜 Sample Policy Declaration¶

staticVulnerabilityScan:
  enabled: true
  blockOnSeverity: "HIGH"
  tools:
    - dotnet-analyzers
    - truffleHog
    - snyk
  allowedLicenses:
    - MIT
    - Apache-2.0
  denyCves:
    - CVE-2023-12345
    - CVE-2024-67890

🤖 Agent Collaboration¶

Agent	Role
`Security Architect Agent`	Defines scanning policy thresholds and exceptions
`Security Engineer Agent`	Maintains toolchain and rule sets
`Test Generator Agent`	Generates code fragments to validate scan coverage
`CI Pipeline Agent`	Triggers scans and reports results with trace metadata

📡 Every agent-generated service is vulnerability scanned and policy-attested — not just once, but on every lifecycle event.

🧱 Secure-by-Design Enforcement in Code Templates¶

Security in the AI Software Factory starts before the first line of business logic is written. This cycle ensures all code templates, libraries, and scaffolds produced by agents are inherently Secure-by-Design, with security defaults, constraints, and injected guards embedded at the source level.

🏗️ What Secure-by-Design Means in the Factory¶

🔐 No insecure defaults (e.g., permissive CORS, missing HTTPS)
🧰 Scaffolded security policies (e.g., authentication decorators)
🔒 Role-based authorization on endpoints
✅ Input validation filters, anti-XSS guards, and rate limiters by default
🕵️‍♀️ Sensitive logging exclusion and PII redaction built-in

🧪 Blueprint-Driven Template Enforcement¶

Template Type	Secure-by-Design Inclusions
Microservice Template	Auth policies, HSTS, X-Frame-Options, input validation
API Gateway Template	Token validation, IP throttling, audit logging
Infrastructure Templates	TLS everywhere, no public ingress by default
CI/CD Pipeline Templates	Secrets from KeyVault only, no inline secrets

📁 Example Template Guard Snippet (ASP.NET Core)¶

[Authorize(Roles = "Admin")]
[HttpPost("update")]
public IActionResult UpdateItem([FromBody] UpdateRequest request)
{
    if (!ModelState.IsValid) return BadRequest(ModelState);
    ...
}

📘 Blueprint Hook¶

Security Blueprint metadata is injected into .template.config for CLI templates:

{
  "securityEnforcements": {
    "authPolicy": "JWT + RoleClaims",
    "rateLimit": "100/minute per IP",
    "logFilters": ["password", "ssn", "credit_card"]
  }
}

🤖 Agent Roles¶

Agent	Role
`Security Architect Agent`	Specifies secure scaffolding rules and constraints
`Backend Developer Agent`	Ensures agent-generated methods use security-first patterns
`Test Case Generator Agent`	Validates scaffolds via generated security test coverage
`Template Registrar Agent`	Embeds enforcement metadata in code templates

🏭 In ConnectSoft Factory, security is baked into templates, not bolted on after code is written.

📡 Runtime Security Telemetry & Alerting¶

Security Blueprint mandates that every deployed service, gateway, and infrastructure component must emit structured security telemetry and support real-time security alerting. These signals allow the platform to detect intrusions, policy violations, and suspicious behavior at runtime, not just during testing or CI.

📊 Categories of Security Telemetry¶

Type	Examples
Auth Events	Failed logins, token expiration, suspicious auth flows
Access Control	Denied permissions, RBAC misconfigurations
Network Layer	Rate-limit hits, port scans, IP reputation checks
Secrets & Keys	Unauthorized access to Key Vaults or configuration providers
Package Integrity	Unexpected binary hash changes, tampered DLLs
Policy Violations	HTTP downgrade attempts, insecure redirects

🧩 Blueprint Example Declaration¶

securityTelemetry:
  enabled: true
  forwardTo: "OpenTelemetryCollector"
  alertingPolicy:
    severityLevels:
      - CRITICAL
      - HIGH
    notifyChannels:
      - slack://secops-alerts
      - email://security@connectsoft.io

🛠️ Tooling Stack (Recommended)¶

OpenTelemetry: Structured trace + log events with security.severity tags
Azure Monitor / Sentinel: Alert routing, correlation, SIEM integration
Prometheus & Grafana: Visual dashboards of security trends
Falco / eBPF: Container-level runtime rule evaluation

🚨 Alert Routing Patterns¶

🧠 Linked to traceId, userId, sessionId for forensic investigation
🔁 Feedback loop into Blueprint memory graph for agent re-planning
📜 Alert summaries embedded in incident.md for observability review

🤖 Agent Collaboration¶

Agent	Role
`Security Engineer Agent`	Defines telemetry formats, alert rules
`Observability Agent`	Injects logging, tracing, and metrics emitters
`CI Pipeline Agent`	Ensures services emit expected logs before production push
`DevOps Delivery Agent`	Routes runtime alerts to response teams and dashboards

🔐 Security observability is not just logging — it’s a living, alertable signal graph that the platform learns from.

🛡️ Security Blueprint¶

📘 What Is a Security Blueprint?¶

🧠 Blueprint Roles in the Factory¶

🧩 Blueprint Consumers and Usage¶

🧾 Output Shape¶

📁 Storage Convention¶

🎯 Purpose and Motivation¶

🚨 Problems It Solves¶

🧠 Why Blueprints, Not Just Policies?¶

🧠 Agent-Created, Trace-Ready Artifact¶

🤖 Agents Involved in Creation¶

📈 Memory Traceability¶

📁 Example Storage and Trace Metadata¶

📦 What It Captures¶

🔐 Core Security Elements Captured¶

📎 Blueprint Snippet (Example)¶

🧠 Cross-Blueprint Intersections¶

🗂️ Output Formats and Structure¶

📄 Human-Readable Markdown (.md)¶

📜 Machine-Readable JSON (.json)¶

🔁 CI/CD Compatible Snippets (.yaml fragments)¶

🧠 Embedded Memory Shape (Vectorized)¶

📁 Naming Convention¶

🧑‍🤝‍🧑 Who Consumes the Security Blueprint¶

🔁 Agent Consumers¶

👤 Human Stakeholders¶

🧠 Machine Consumers¶

🧭 Blueprint Location, Traceability, and Versioning¶

📁 File System Location¶

🧠 Traceability Fields¶

🔁 Versioning and Mutation Tracking¶

📜 Mutation History Example¶

🔐 Authentication Strategies and Enforcement¶

✅ Common Authentication Modes¶

📌 Blueprint Declarations¶

🎯 Enforcement Layers¶

🧠 Agent Behaviors¶

🧾 Authorization and Role-Based Access Control (RBAC)¶

🎭 Authorization Types¶

📐 Blueprint Schema Example¶

🎯 Enforcement Layers¶

🔐 Key Properties¶

🤖 Agent Participation¶

🔑 Secrets Management & Token Injection¶

🔐 Secret Types¶

📦 Secret Storage Mechanisms¶

🔁 Injection Strategies¶

🧠 Agent Roles¶

🔐 Transport Security and Protocol Hardening¶

🚚 Transport Security Protocols¶

🛡️ Blueprint Transport Enforcement Block¶

📐 Additional Protocol Hardening Options¶

🤖 Agent Responsibilities¶

🛑 Secure Defaults and Deny-By-Default Posture¶

🧱 Secure Defaults Checklist¶

📘 Blueprint Declaration Example¶

🧠 Why This Matters¶

🧠 Agent Collaboration¶

🧠 Threat Modeling Artifacts & Risk Posture Tags¶

🧩 Threat Modeling Blocks¶

📘 Example Blueprint Snippet¶

🤖 Agent Usage¶

🧠 Risk-Aware Memory Graphs¶

🐳 Runtime Hardening & Container Security¶

🔐 Key Hardening Features¶

📘 Blueprint Runtime Block¶

🔍 Scan & Verification Hooks¶

🤖 Agent Collaboration¶

🔐 Authentication Strategies & Token Handling¶

🧩 Supported Authentication Models¶

📘 Blueprint Snippet Example¶

🧠 Best Practices Included by Default¶

🤖 Agent Collaboration¶

🛂 Authorization Models & Role Hierarchies¶

🧩 Supported Authorization Models¶

🧱 Role Hierarchy Convention¶

🎯 Features Built into Blueprint¶

🤖 Agent Collaboration¶

🔑 Secret Management & Secure Configuration¶

🔐 Secret Types Covered¶

📄 Human-Readable Markdown (`.md`)¶

📜 Machine-Readable JSON (`.json`)¶

🔁 CI/CD Compatible Snippets (`.yaml` fragments)¶