AN opinion article by Ravi Sharma, a senior IT audit and cybersecurity leader at Pitney Bowes, argues that autonomous AI agents should be treated as privileged users rather than ordinary software integrations. Many operate as non-human identities backed by service accounts, API tokens or delegated cloud permissions, often using long-lived credentials outside conventional interactive access controls.
This can give them access to cloud repositories, databases and production environments, creating an identity attack surface and a potential route to outages, data-integrity problems or unexpected cloud costs. The article describes this as a risk scenario, not a report of confirmed exploitation.
The example given involves an agent using wildcard AWS IAM permissions such as `s3:*` or permissive `sts:AssumeRole` paths. If it detects a slowdown, modifies a deployment script and triggers provisioning changes, it could effectively initiate, approve and execute a high-value process without human separation-of-duties controls or a clear corporate audit trail.
Sharma recommends bringing agents within identity and privileged access management, giving each an isolated non-interactive identity with short-lived tokens and narrowly scoped permissions. Organisations should also assign a business owner, regularly review entitlements, record prompts, tool calls, model outputs, policy decisions and downstream API activity, and maintain an out-of-band method to disable or isolate an agent quickly. Prompt injection and excessive permissions are identified as factors that could increase the impact of redirected actions.