Featured resources
The agentic AI landscape and its conceptual foundations
OECD landscape paper mapping agentic AI architectures, capability tiers, and governance touchpoints for policymakers. Synthesises definitions across vendors and academic work into a shared vocabulary, flagging where existing AI policy instruments need adjustment for agents.
OWASP Top 10 for Agentic Applications for 2026
OWASP Gen AI Security Project's top-ten list of agentic application risks for 2026, covering memory poisoning, tool misuse, privilege compromise, intent breaking, goal manipulation, and identity spoofing. Includes example attacks and suggested controls per risk.
Practices for Governing Agentic AI Systems
Shavit et al. at OpenAI propose seven practices for governing agentic systems: evaluating suitability, constraining action space, setting default behaviours, ensuring legibility, automatic monitoring, attributability, and interruptibility. Foundational reference for later governance frameworks.
Secure AI Framework (SAIF) 2.0: Focus on Agents
Google's Secure AI Framework v2 extends SAIF's six security principles to agents, adding risk maps for autonomy, tool permissions, memory poisoning, and multi-agent interactions. Includes a self-assessment and a risk-control matrix for agent developers.
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ICO tech futures: Agentic AI
UK ICO tech-futures analysis of how agentic AI interacts with UK GDPR, covering lawful basis for agent-initiated processing, data minimisation across tool calls, transparency duties, and accountability when agents act on behalf of data subjects.
AI Index Report 2026 (Technical Performance chapter)
Stanford HAI's annual index chapter on technical performance, tracking benchmark progress for reasoning, coding, and tool-using agents. Covers capability jumps on SWE-bench, GAIA, and WebArena plus compute and cost trends across frontier model families.
International AI Safety Report 2026
Independent expert panel report chaired by Yoshua Bengio for UK DSIT, synthesising evidence on general-purpose AI capabilities, risks, and mitigations. 2026 edition expands coverage of agentic systems, loss-of-control scenarios, and emerging misuse patterns.
The agentic AI landscape and its conceptual foundations
OECD landscape paper mapping agentic AI architectures, capability tiers, and governance touchpoints for policymakers. Synthesises definitions across vendors and academic work into a shared vocabulary, flagging where existing AI policy instruments need adjustment for agents.
OWASP Top 10 for Agentic Applications for 2026
OWASP Gen AI Security Project's top-ten list of agentic application risks for 2026, covering memory poisoning, tool misuse, privilege compromise, intent breaking, goal manipulation, and identity spoofing. Includes example attacks and suggested controls per risk.