Autonomous AI agents, software that pursues goals by itself, have moved out of experiments and into everyday use. They now run work in IT operations, customer service, finance and procurement, chaining steps and triggering actions without constant human oversight. Their arrival opens new weak points in security, identity, access and auditing, which many leadership teams are not prepared to manage.
Risk starts with what agents do, because they make decisions and use other software tools on a user’s behalf. If identity controls are weak, an agent can impersonate a user. It can gain wider access than intended through the tools it connects to, and without firm limits it can trigger actions nobody meant. Joëlle Pineau, Chief AI Officer at the AI company Cohere, has warned that agents can reach sensitive systems undetected when companies fail to set strong identity boundaries. Failures like that can lead to fraud, data leaks and scrutiny from regulators.
The productivity case is real. McKinsey has found that agents get more work done inside structured workflows with reliable data and tools, where they cut out queue time and handoffs. The hard part is scale. Most enterprises stall after their first pilots, because they lack the governance, access controls and visibility needed to run agents safely in production.
Security research backs up that concern. MIT Sloan Management Review sets out a three-phase security model for agents. It starts by working out how an agent might be misled or hijacked. It then tests how the agent chains tools together and how it handles instructions hidden in the content it reads, known as prompt injection. Finally, it puts protections in place while the agent runs. A 2025 survey of agent security identifies nine classes of threat, and it finds that risk to the whole system grows as agents gain autonomy. Yet only 42 percent of enterprises say they balance development and security practices in their AI deployments.
Being ready means treating agents as actors that start tasks, make decisions and carry them out. Each agent gets its own identity, only the access its job requires and a log of every action it takes. A company that cannot reconstruct what an agent did, with what data, using which tool and for what purpose, is not ready to roll agents out widely.
