cyberscoop.comadvisoryCareful Adoption of Agentic AI Services
Joint guidance co-authored by ASD's ACSC, CISA, NSA, the Canadian Centre for Cyber Security, NCSC-NZ and NCSC-UK on securing LLM-based agentic AI systems across critical infrastructure and defence. It catalogs agentic-AI-specific risk categories — privilege compromise, scope creep, confused-deputy attacks, identity spoofing, insecure static permission checks, indirect prompt injection, specification gaming and deceptive/emergent agent behaviour — with concrete scenario examples, and lays out best practices for designing, developing, deploying and operating agents securely.
TL;DR Six-nation cyber agencies' joint guidance on agentic AI risks (privilege compromise, confused deputy, prompt injection, deceptive behaviour) and secure-lifecycle best practices.
Organisations named here
- ASD's ACSC
- Canadian Centre for Cyber Security
- CISA
- NCSC-NZ
- NCSC-UK
- NSA
- specification gaming
Technologies named here
- LLM
Techniques named here
- Prompt Injection
- Indirect prompt injection
- Confused deputy pattern
- Privilege compromise
- Scope creep
- Identity spoofing and agent impersonation
- Stale authorization / static entitlement exploitation
- Lateral movement via poor segmentation
- Specification gaming / goal misalignment
- Over-optimisation
- Deceptive behaviour / strategic deception
- Evaluation-aware behaviour change
- Emergent/unpredictable capabilities
- Confused deputy
Related in AI Security
blog.talosintelligence.comtoolIntroducing CAIRN: Frontier tracking for AI-integrated malware (Cisco Talos)
github.comadvisoryFlowise MCP Security Bypass Enables RCE
github.comrepoYesWeHack Claude Kit
jfrog.comarticle