Strong Access Controls – AI agents can access files, applications, and systems to complete tasks. Limiting permissions helps reduce damage if an agent behaves unexpectedly or its credentials are compromised.
Protect Sensitive Data – AI agents may handle customer information, business records, and confidential documents. Organisations should restrict sensitive data access and apply strong encryption, authentication, and privacy controls.
Continuous Monitoring – AI agents can perform tasks independently and at high speed. Continuous monitoring helps security teams identify unusual activity, unexpected decisions, and potential attacks before they create larger problems.
Human Oversight Matters – Autonomous systems should not operate without appropriate human checks. Critical actions involving finances, sensitive information, or important infrastructure should require human approval before completion.
Secure Agent Communication – AI agents often interact with applications, APIs, databases, and other agents. Securing these connections can help prevent attackers from intercepting instructions or manipulating information exchanged between systems.
Test Before Deployment – Organisations should test AI agents against malicious prompts, incorrect instructions, data leaks, and unexpected behaviours. Regular security testing can reveal weaknesses before agents are deployed widely.
Prepare for New Threats – The growth of AI agents creates new attack possibilities, including prompt manipulation, privilege abuse, and automated attacks. Security teams need updated policies and response plans to manage these evolving risks.
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