AI Security
LLM security: prompt injection, jailbreak detection, guardrails, and adversarial evaluation.
Review required
Auth
RBAC
Breaking upgrade
UI, onboarding, gateway, findings, observability, graph, hardening, deps, runtime
Review required
Auth
Dependencies
mcp, intel, sdk, api, connectors
Review required
Auth
RBAC
Prompt security operators + scan defense
v0.85.0
(1mo)
Inter-agent firewall foundation
Notable features
- Add realClientAddr configuration option
- Improve CLI functionality and increase code coverage
v3.7.0
(1mo)
Plugin system
Notable features
- Interactive command matching for TCP
- LLM integration for responses
v3.6.9
(1mo)
Maze plugin improvements
Notable features
- MCP Scan: multi‑turn red team attack module with TAP and Crescendo strategies
- System API: data auto‑sync endpoints (`POST /api/v1/system/update-data`, `GET /api/v1/system/update-status`)
- Agent Scan API: inline `agent_config` support, optional verify flag
Notable features
- CSV support via Dataset.from_csv() with default column names `input` and `ideal` and overrides `input_field`/`output_field`
- Arbitrary JSONL field mapping through CLI flags `--input-field` / `--output-field` and Python API
- Label‑free evaluation allowing datasets without reference answers; reference‑based metrics emit a clear upfront error
v0.9.3
(1mo)
pytest plugin, pre-commit hook, ASGI proxy, ActionClaim
Review required
Auth
RBAC
PostgreSQL RLS slice + API features
Notable features
- Persisted alert and runtime monitoring added
- GitHub issue workflow planning pipeline introduced
- Automated GitHub issue execution with Claude Code
Review required
Auth
Breaking upgrade
Guided remediation
v0.6.1
(2mo)
Regex combination + LRU cache
v0.4.1
(2mo)
Async guardrails + performance
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