Enterprise-Wide Agentic AI Risk Controls

Enterprise-Wide Agentic AI Risk Controls

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.

Agents introduce new risks

However, while agents can outperform humans on some tasks, they behave differently and can suffer no sanction.

Because of this, to leverage the benefits of delegating autonomy to this new technology, you must manage the broad new class of risks it introduces.

If left unmanaged, these risks will materialise across an organisation, encompassing individual and multi-agent behaviours, system security, governance, policy integration, as well as 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.

To overcome this, the Enterprise-Wide Agentic AI Risk Control Framework v3.1 contains the full set of known agentic risks and the latest best-practice controls.

Identify agentic risks and implement proportionate and multi-disciplinary controls

Explore the risks and discover the control strategies

At Agentic Risks, we classify these new risks into five comprehensive, interlocking, and multi-disciplinary categories:

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Click through to learn more. 

Benefits of Enterprise-Wide Agentic AI Risk Controls

The Framework will let you perform tasks that are vital to keeping your company safe and compliant:

  • Identify, assess, and control agentic risks.
  • Integrate them into your existing ISO, COSO, or NIST framework.
  • Keep pace as agentic AI evolves.
Agentic AI Risk Controls - steps to take

Key steps to take:

  1. Click through to the different risk categories to learn more through videos, explainers, and FAQs.
  2. Download the Framework (pdf) for free.
  3. Map the risks and controls for an agentic workflow.
  4. Contact us if you would like any assistance or advice.

Develop your credentials in agentic AI

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.

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FAQs

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:

  • Identify and assess agentic AI risks;
  • Implement proportionate, multi-disciplinary control measures;
  • Integrate controls into existing enterprise risk frameworks;
  • Keep governance aligned with evolving global standards.

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.

Template Agentic Risk Appetite and Adoption Strategy download

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Agentic AI Risk Appetite Statement and Adoption Strategy

Enterprise-Wide Agentic AI Controls Framework

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Enterprise-Wide Agentic AI Controls Framework.

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