Agentic Standards Crosswalk
SecurityRecipes is positioned as the secure context layer for agentic AI. That claim needs more than a strong homepage. Enterprise buyers, AI platform teams, and acquirers will ask whether the project tracks the current external control language: OWASP Agentic Top 10, CSA AI Controls Matrix, NIST agent standards work, MCP authorization, critical-infrastructure AI review expectations, prompt-injection defenses, evals, context provenance, telemetry, and runtime evidence.
The Agentic Standards Crosswalk turns those references into a generated artifact:
- Standards and source anchors from OWASP, NIST, CSA, MCP, OpenAI, and Anthropic.
- Control mappings for goal hijack, tool misuse, identity abuse, supply-chain risk, unexpected code execution, memory/context poisoning, inter-agent communication, cascading failures, human-agent trust exploitation, rogue agents, MCP token safety, scope minimization, sandboxing, AI governance, shared responsibility, telemetry/SOC readiness, critical-infrastructure readiness, and secure prompt-injection defenses.
- Capability mappings to the Secure Context Trust Pack, Context Poisoning Guard, MCP Gateway Policy, MCP Authorization Conformance, Agent Identity Ledger, Run Receipts, Red-Team Drills, Measurement Probes, Readiness Scorecard, Agentic System BOM, and related packs.
- MCP tool exposure through
recipes_agentic_standards_crosswalk.
Generated artifact
- Source model:
data/assurance/agentic-standards-crosswalk.json - Generator:
scripts/generate_agentic_standards_crosswalk.py - Evidence pack:
data/evidence/agentic-standards-crosswalk.json - MCP tool:
recipes_agentic_standards_crosswalk
Regenerate and validate the pack:
python3 scripts/generate_agentic_standards_crosswalk.py
python3 scripts/generate_agentic_standards_crosswalk.py --checkWhy this matters
The most valuable version of SecurityRecipes is not a static prompt library. It is a standards-aware secure context control plane that can answer a buyer’s first hard questions:
| Buyer question | Crosswalk answer |
|---|---|
| Which agentic risks are covered? | OWASP Agentic Top 10 controls map to generated capabilities and MCP tools. |
| Which MCP authorization requirements matter? | Resource binding, audience validation, token-passthrough denial, PKCE, scope minimization, and local-server sandboxing map to concrete packs. |
| How does this map to enterprise AI control frameworks? | CSA AI Controls Matrix-style governance, data lifecycle, access, monitoring, supply-chain, and resilience controls map to generated evidence. |
| How does this track NIST agent and GenAI guidance? | Identity, protocols, security evaluations, governance, access constraints, monitoring, data provenance, and lifecycle risk map to evidence artifacts. |
| How are prompt-injection defenses made operational? | Context poisoning scans, egress decisions, handoff boundaries, sandboxed tool use, red-team replay, and readiness checks are linked to frontier-lab guidance. |
| What changes for high-impact deployments? | Critical-infrastructure readiness maps fail-safe action boundaries, operational monitoring, incident response, and lifecycle change control to MCP-readable evidence. |
| What should a diligence team inspect first? | The generated crosswalk returns standards, controls, sources, evidence paths, MCP tools, and commercialization hooks in one packet. |
Core mappings
| Standard area | SecurityRecipes evidence |
|---|---|
| OWASP Agentic Top 10 | Context Poisoning Guard, Secure Context Evals, MCP Gateway Policy, Authorization Conformance, Identity Ledger, Skill Supply Chain, Handoff Boundary, Readiness Scorecard |
| MCP Authorization and Security | MCP Authorization Conformance, MCP Gateway Policy, Connector Intake, Connector Trust, STDIO Launch Boundary, Context Egress Boundary |
| CSA AI Controls Matrix | Agentic Assurance Pack, Enterprise Trust Center Export, Secure Context Trust Pack, Entitlement Review, Telemetry Contract, SOC Detection Pack |
| NIST agent and GenAI risk guidance | Agent Identity Ledger, Agentic System BOM, Agentic Assurance Pack, Measurement Probes, Red-Team Drills, Enterprise Trust Center Export |
| NIST critical-infrastructure AI readiness | Catastrophic Risk Annex, Action Runtime Pack, Approval Receipts, Telemetry Contract, SOC Detection Pack, Incident Response Pack |
| Frontier-lab prompt-injection defenses | Context Poisoning Guard, Context Egress Boundary, Run Receipts, Handoff Boundary, Action Runtime Pack, Telemetry Contract, Red-Team Drills, Readiness Scorecard |
MCP examples
Get the crosswalk summary:
{}Get one standard:
{
"standard_id": "owasp-agentic-top-10-2026"
}Get one control:
{
"control_id": "ASI06"
}Get every standard control mapped to a capability:
{
"capability_id": "context-poisoning-guard-pack"
}Get a source anchor:
{
"source_id": "mcp-authorization-2025-11-25"
}Source anchors
Review and regenerate the crosswalk when these sources change:
- OWASP Top 10 for Agentic Applications 2026
- OWASP Agentic AI Threats and Mitigations
- OWASP Securing Agentic Applications Guide 1.0
- OWASP GenAI Exploit Round-up Report Q1 2026
- NIST AI Agent Standards Initiative
- NIST CAISI RFI on Securing AI Agent Systems
- NIST AI RMF
- NIST AI RMF Generative AI Profile
- CSA AI Controls Matrix
- MCP Authorization Specification
- MCP Security Best Practices
- OpenAI prompt-injection guidance
- OpenAI guidance on designing agents to resist prompt injection
- OpenAI Agents SDK guardrails
- Anthropic prompt-injection defenses for browser use