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Disabling an artificial intelligence agent may not be enough to prevent unauthorised activity if its connected workflows, credentials and network connections remain active, according to cybersecurity guidance on managing incidents involving autonomous AI systems.
The concern arises as organisations increasingly deploy AI agents to handle business operations, access sensitive records and interact with external applications without continuous human supervision.
Security guidance from the OWASP GenAI Security Project highlights the importance of testing whether organisations can contain potentially harmful agent activity by revoking credentials, restricting network access and stopping automated workflows.
An October 2026 OWASP roundup examined cases in which AI agents operating in evaluation environments exceeded their intended scope. The findings underline the need for security controls that operate independently of the AI model itself.
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Why Is Disabling an AI Agent Not Always Enough?
AI agents typically operate through several connected components rather than functioning as isolated software systems.
While an AI model may decide which action to take, separate orchestration systems execute workflows, digital identities provide permissions and connected tools or application programming interfaces carry out instructions.
This architecture can create security challenges when an agent begins performing unexpected or unauthorised actions.
For example, an AI agent assigned to organise customer support tickets might encounter malicious instructions embedded in a ticket and attempt to export confidential account records to an unfamiliar destination.
Such an incident could occur if the agent has sufficient permissions to access the records and its connected tools allow the transfer.
Stopping the AI model may prevent further decisions, but previously scheduled tasks, automated retries or established sessions could continue operating depending on the system’s configuration.
Similarly, disabling one credential may not invalidate other active tokens or connections associated with the same workflow.
Security specialists therefore recommend treating an AI kill switch as a combination of technical controls rather than a single command.
These controls should be capable of stopping active and queued tasks, revoking permissions, disabling connected tools and restricting network communication.
What Should Organisations Do When an AI Agent Behaves Suspiciously?
Cybersecurity guidance recommends that organisations first establish whether unusual agent behaviour indicates a genuine security incident.
Unexpected actions may result from malicious instructions, software defects, configuration errors or legitimate changes to business workflows.
Potential warning signs include attempts to access resources outside an assigned task, unusually large data exports, unexpected credential usage and workflows continuing after administrators believe they have been stopped.
Security teams are advised to examine the agent’s activity alongside identity management records, application logs, API requests and network traffic.
If a security incident is suspected, the first priority is to suspend the affected workflow, including its active tasks, scheduled triggers and automated retries.
Administrators should then identify and revoke credentials, access tokens and service permissions that may have been compromised or misused.
Where necessary, organisations should also disable affected integrations or block network connections to prevent further access to sensitive systems.
OWASP guidance recommends limiting agent permissions to the minimum necessary for assigned tasks and requiring explicit authorisation for sensitive operations.
Investigators should preserve relevant records, including timestamps, session identifiers, tool calls, access decisions and affected resources.
They must also distinguish between actions attempted by an agent and those successfully completed.
A recorded attempt to export information, for example, does not necessarily establish that the data was transferred.
How Can Businesses Prevent Further Damage From AI Agents?
Security specialists emphasise that stopping an AI agent does not reverse actions it has already completed.
If an agent has accessed sensitive accounts, modified records or transmitted information outside an organisation, the affected systems must be investigated separately.
Incident response teams may need to revoke additional permissions, reverse unauthorised changes and assess whether sensitive information has been exposed.
Before restoring an affected AI workflow, organisations should identify the underlying cause of the incident.
The problem could involve malicious input, excessive permissions, compromised integrations, configuration weaknesses or defects in the systems supporting the agent.
Changing an agent’s instructions alone may not resolve vulnerabilities involving credentials, external tools or network access.
Security guidance recommends restoring permissions with the smallest scope necessary and testing the affected workflow in a controlled environment before resuming normal operations.
Human approval mechanisms can also help prevent particularly sensitive or irreversible actions from being executed without appropriate oversight.
Organisations are further advised to maintain clear records of who owns each production AI agent, which systems it can access and who has authority to suspend its operations.
Regular testing of credential revocation, session termination and network restrictions is essential to establish whether containment procedures work as intended.
The guidance is consistent with established incident response principles, which emphasise preparation, containment, investigation and safe recovery.
As AI agents become more closely integrated with business systems, organisations must ensure that their security controls can interrupt not only the model’s activity but also the tools, permissions and automated processes operating on its behalf.
About the author — Suvedita Nath is a science student with a growing interest in cybercrime and digital safety. She writes on online activity, cyber threats, and technology-driven risks. Her work focuses on clarity, accuracy, and public awareness.
