For years, artificial intelligence in cybersecurity has largely worked as an assistant. It could scan large volumes of data, flag suspicious activity, summarise alerts and help security teams decide what to do next. That model is now beginning to change. The next phase is agentic security, where AI agents are designed not just to identify a cyber threat but also to investigate it, validate what is happening, recommend or initiate a response and, in some cases, help drive remediation. The important difference is that these systems can work through a sequence of tasks rather than waiting for a human to give instructions at every step.
But giving AI more freedom inside a security environment also creates a difficult question: how much autonomy is safe? Cybersecurity companies are increasingly trying to answer that by putting policies, permissions, approvals and audit trails around AI agents. Infopercept's recently introduced Regiment AI is one example of this approach.
