Hey @ag2ai team — ran fastagency through AIR Blackbox, an open-source EU AI Act compliance scanner. As a production AutoGen wrapper, fastagency is likely to power high-risk AI systems that fall under the August 2, 2026 enforcement deadline.
Scan result: 32% coverage — 13 compliance gaps
Framework detected: AutoGen
Gaps by Article
Article 9 — Risk Management: No ConsentGate for tool call risk classification, no risk-based blocking policy, no risk decision audit logging. AutoGen's human_input_mode="NEVER" pattern is a common Article 14 violation that fastagency workflows may inherit.
Article 10 — Data Governance: No PII tokenization. Multi-agent conversations frequently contain sensitive data that flows between agents unredacted.
Article 11 — Technical Documentation: No structured operation timestamps or call graph capture across agent conversations.
Article 12 — Record-Keeping: No automatic conversation/event recording. AutoGen conversations need tamper-evident logs to satisfy Article 12.
Article 14 — Human Oversight: No audit trail, no per-tool risk thresholds, no interrupt mechanism. This is the highest-risk gap for a production AutoGen wrapper.
Article 15 — Robustness: Injection attacks not scanned. Injection blocking set to log-only (not block). 0/4 security layers active.
What passes ✅
- Sensitive data patterns configured
-
- HMAC-SHA256 chain integrity present
Suggested integration point
fastagency's @wf.register() decorator is a natural place to add a trust layer hook. The air-autogen-trust package wraps AutoGen agents:
pip install air-autogen-trust
from air_autogen_trust import AirTrustHook
hook = AirTrustHook(audit_chain=True, consent_mode="BLOCK_HIGH_AND_CRITICAL")
# register hook with your fastagency workflow
Full scanner: pip install air-compliance && air-compliance scan .
Docs & source: https://airblackbox.ai | https://github.com/air-blackbox
154 days to August 2, 2026. Happy to answer any questions about specific requirements.
Hey @ag2ai team — ran fastagency through AIR Blackbox, an open-source EU AI Act compliance scanner. As a production AutoGen wrapper, fastagency is likely to power high-risk AI systems that fall under the August 2, 2026 enforcement deadline.
Scan result: 32% coverage — 13 compliance gaps
Framework detected: AutoGen
Gaps by Article
Article 9 — Risk Management: No ConsentGate for tool call risk classification, no risk-based blocking policy, no risk decision audit logging. AutoGen's
human_input_mode="NEVER"pattern is a common Article 14 violation that fastagency workflows may inherit.Article 10 — Data Governance: No PII tokenization. Multi-agent conversations frequently contain sensitive data that flows between agents unredacted.
Article 11 — Technical Documentation: No structured operation timestamps or call graph capture across agent conversations.
Article 12 — Record-Keeping: No automatic conversation/event recording. AutoGen conversations need tamper-evident logs to satisfy Article 12.
Article 14 — Human Oversight: No audit trail, no per-tool risk thresholds, no interrupt mechanism. This is the highest-risk gap for a production AutoGen wrapper.
Article 15 — Robustness: Injection attacks not scanned. Injection blocking set to log-only (not block). 0/4 security layers active.
What passes ✅
Suggested integration point
fastagency's
@wf.register()decorator is a natural place to add a trust layer hook. The air-autogen-trust package wraps AutoGen agents:Full scanner:
pip install air-compliance && air-compliance scan .Docs & source: https://airblackbox.ai | https://github.com/air-blackbox
154 days to August 2, 2026. Happy to answer any questions about specific requirements.