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Benefits of AI agents – on your behalf, autonomous AI agents can perform multi-step tasks, act across systems, select tools, reason through ambiguity, decide when a task is done, and hand control back to a human if needed.
However, while agents can outperform humans on some tasks, they behave differently from static systems, creating a broad new class of risks that traditional model risk management and prompt-based guardrails cannot reliably detect.
Because of this, a competitive advantage built on agentic AI will only be durable if you manage the new risks it introduces.
If left unmanaged, these risks can materialise across individual and multi-agent behaviours, system security, governance, policy integration, organisational factors, and human capabilities.
Understandably, many organisations are unfamiliar with the risks, and traditional controls are insufficient. However, regulators and standards bodies are clear: firms must integrate agentic risks into their existing risk management frameworks.
Regulatory Mapping Tables – these mapping tables demonstrate that, combined, the two artefacts cover every requirement in ISO 42001, the NIST AI RMF, and the EU AI Act, as well as operational requirements that are vital for safety but that do not feature in the official frameworks because they were not designed for agentic AI.
At Agentic Risks, we classify these new risks into five comprehensive, interlocking, and multi-disciplinary categories:
Risk category | Number of risks | Number of controls you can choose from |
|---|---|---|
Totals | 32 | 276 |
A. Individual AI Agent Risks | 5 | 47 |
B. Multiple AI Agent Risks | 4 | 29 |
C. AI Agent Security Threats | 8 | 63 |
D. AI Agent Governance Failures | 8 | 82 |
E. Human Capabilities for AI Agents | 7 | 55 |
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The Framework will let you perform tasks that are vital to keeping your company safe and compliant:

Agentic Risks is a not-for-profit initiative from Accomplish that aims to help firms adopt agentic AI workflows safely.
We would love to hear your opinion on the Framework, so contribute it here (publicly or privately) and gain a chance to join Agentic Risks’ Governing Council of volunteers.
As agentic AI continues to evolve, the Governing Council will approve future versions, keeping your career and you at the leading edge of agentic AI risk management.
We invite you to leave your thoughts below. Please leave your name and email address, so we can get in touch, and to minimize spam.
Agentic AI Risk Controls are the safeguards, policies, and technical measures that protect organisations from the new risks introduced by autonomous and multi-agent AI systems. They define how to govern, monitor, and safely integrate AI agents into enterprise processes.
Because agentic AI acts autonomously, traditional AI controls are insufficient. Enterprise-Wide Agentic AI Risk Controls ensure consistent governance, accountability, and security across all departments and systems, reducing the chance of compliance failures or unsafe autonomy.
It lists all known agentic AI risks and matches each with up-to-date, best-practice controls. The controls span five categories: individual-agent risks, multi-agent risks, AI-security threats, governance failures, and human-capability issues.
They align with ISO/IEC 42001 (AI Management Systems), the NIST AI Risk Management Framework, and the EU AI Act. These controls translate regulatory principles into practical steps your organisation can implement.
They let firms:
They enforce orchestration rules, audit trails, and inter-agent boundaries that prevent unintended coordination, escalation, or loss of transparency across multiple AI agents.
Each AI agent is assigned a clear owner, authority, and monitoring protocol. Explainability logs and oversight dashboards ensure every decision can be traced, reviewed, and corrected.
Controls mandate proportionate human-in-the-loop oversight, escalation paths, and user training. They also address organisational culture – preventing over-trust, misuse, and loss of human competence.
It was created by Agentic Risks, a not-for-profit initiative from Accomplish, initially designed to support agentic products in investment firms and now offered for general enterprise use.
Download the whitepaper, apply the controls within your organisation, and share your feedback publicly or privately. Contributors can join the Agentic Risks Governing Council, which oversees future updates.
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