The dream-cycle bot has opened a research proposal draft PR nightly since 2026-05-29. None had ever been merged (tracked in #2324), so each night's run guessed ADR numbers against a stale view of main and collided repeatedly — ADR-147 alone was independently claimed by 4 different proposals (#2304, #2310, #2317, plus a README-only PR #2278), and ADR-179 by another 4 (#2617, #2624, #2631, #2656, plus README-only #2642). This consolidates the SOTA research reports and ADR proposal text from all 49 open dream-cycle drafts into a single reviewable change: - 43 ADR proposals renumbered sequentially into ADR-334 through ADR-376 (first-opened-first-numbered), with self-referencing ADR-N mentions inside each file updated to match - 4 branches that contained only a SOTA report with no ADR proposal (#2368, #2382, #2430, #2607) carried over as-is - 2 branches that only added a README index row for an ADR file they didn't otherwise include (#2278 for ADR-147, #2642 for ADR-179) are superseded by the real ADR-147/179 claimants above and dropped - v3/docs/adr/README.md gets one clean set of index rows instead of 43 individually conflicting ones All ADRs land as Proposed — none of this is an implementation decision, just clearing 2 months of unreviewed nightly research out of PR limbo so it can actually be read. The original 49 PRs are closed with a pointer to this commit. Closes #2224, #2242, #2249, #2255, #2266, #2278, #2304, #2310, #2317, #2333, #2344, #2363, #2368, #2379, #2382, #2394, #2402, #2420, #2430, #2436, #2457, #2463, #2472, #2479, #2486, #2496, #2511, #2527, #2537, #2560, #2577, #2598, #2607, #2617, #2624, #2631, #2642, #2656, #2665, #2702, #2716, #2728, #2740, #2753, #2761, #2764, #2769, #2779, #2793
5.3 KiB
ADR-346: Multi-Layer Agent Security Stack
Status: Proposed
Date: 2026-06-16
Authors: claude (dream-cycle agent, 2026-06-16)
Supersedes: Partially extends ADR-012 (MCP Security), ADR-144 (Agent Authorization), ADR-145 (Plugin Supply Chain), ADR-146 (Tool Output Guardrails)
Context
Nightly dream-cycle research (2026-06-16, SLOT=1, DEEP=security) surfaced three Grade A benchmarks establishing a critical gap:
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ClawSafety (arXiv:2604.01438): Agent attack success rate (ASR) 40–75% across 5 frontier models in 2,520 sandboxed trials. Safety is determined by the full deployment stack, not just the backbone model. Skill-instruction injection (matching Ruflo's hooks/plugins) is the highest-trust, highest-risk vector.
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MCP Threat Coverage (arXiv:2604.05969): 7 threat categories, 23 distinct attack vectors across 177K+ deployed MCP tools. No single defense covers more than 34% of the threat landscape. An integrated MCPSHIELD approach (capability-based access control + cryptographic attestation + information flow tracking + runtime policy) achieves 91% coverage.
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OWASP Top 10 for Agentic Applications 2026 (published Dec 2025): ASI01 = Agent Goal Hijacking is ranked #1. ASI02 = Unauthorized Capability Escalation. These risks are unmitigated in Ruflo's current stack.
Ruflo's existing security layers (InputValidator, PathValidator, SafeExecutor, ADR-144/145/146) provide single-layer boundary validation estimated at ~34% threat coverage — the floor identified for isolated defenses. Ruflo exposes 314 registered MCP tools and 60+ hooks/skills that are currently unattestad against injection via tool environment.
Decision
Implement a multi-layer agent security stack in @claude-flow/security comprising three coordinated layers:
Layer 1 — MCP Tool Attestation
- Cryptographic signing of tool manifests at registration time
- Signature verification at every tool invocation in the MCP server
- Capability-based access control: tools declare required capabilities; agents are granted minimum necessary
- Revocation list for compromised tools
- Target: covers threat categories TC-1 (tool spoofing), TC-2 (capability escalation), TC-5 (protocol tampering)
Layer 2 — Indirect Prompt Injection Monitoring
- Content sanitization pipeline at hook chokepoints:
pre-task,post-edit,pre-command - Pattern detection for instruction-injection signatures in tool outputs, environment variables, and skill payloads
- Quarantine mode: flag suspicious payloads for human review before agent execution
- Integrates into existing
SafeExecutorin@claude-flow/security - Target: addresses ClawSafety's highest-risk vector (skill-instruction injection)
Layer 3 — Agent Action Audit Trail with Checkpointing
- Append-only audit log of every agent action (tool call, memory write, file operation, hook execution)
- Checkpoint state snapshot per task boundary, stored in AgentDB
- Rollback trigger: detected Goal Hijacking (ASI01) signals halt + restore from last clean checkpoint
- Expose audit trail via
@claude-flow/cli security auditcommand - Target: closes the LangGraph 0.4 feature gap; enables post-hoc forensics and OWASP compliance evidence
Consequences
Positive
- Raises estimated threat coverage from ~34% to ≥80% (target 91% with full MCPSHIELD alignment)
- Closes OWASP Agentic ASI01 and ASI02 gaps
- Makes Ruflo the first open-source agent framework with MCP-native tool attestation
- Enables enterprise compliance evidence for agentic AI security audits
- Competitive differentiation: LangGraph, CrewAI, AutoGen, OpenAI Swarm have no MCP tool attestation
Negative
- Attestation adds latency to tool registration and invocation (~1-5ms per call, within <100ms MCP target)
- Audit trail increases AgentDB write volume; requires TTL/rotation policy
- Breaking change for unregistered or externally-sourced MCP tools (migration guide required)
Neutral
- Layer 2 sanitization may produce false positives on legitimate complex tool outputs; tunable threshold
- Checkpoint storage in AgentDB uses existing HNSW backend with new
auditnamespace
Implementation Plan
@claude-flow/security: AddToolAttestationclass (Layer 1) — key pair generation, manifest signing, verification middleware@claude-flow/security: ExtendSafeExecutorwith injection pattern detection (Layer 2)@claude-flow/memory: Addauditnamespace with append-only writes and TTL (Layer 3)@claude-flow/cli: Addsecurity auditandsecurity attestationsubcommands- Migration:
npx claude-flow@latest security attestation --initto sign all registered MCP tools - Tests: TDD London School — mock tool registry + inject adversarial payloads; verify quarantine triggers
References
- arXiv:2604.01438 — ClawSafety: "Safe" LLMs, Unsafe Agents
- arXiv:2604.05969 — Formal Security Framework for MCP-Based AI Agents
- arXiv:2506.23260 — From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows
- arXiv:2603.15408 — TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems
- OWASP Top 10 for Agentic Applications 2026 — https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications-for-2026/
- Dream-cycle research gist:
v3/docs/dream/2026-06-16-security-report.md