"In 2025, nearly every security conversation circled back to AI. In 2026, the center of gravity will shift from raw innovation to governance. DevOps teams that rushed to ship AI capabilities are now on the hook for how those systems behave, what they can reach, and how quickly they can be contained when something goes wrong. At the same time, observability, compliance, and risk are converging."
"AI governance will move directly into DevSecOps workflows. That includes prompt hygiene, adversarial simulation, and structured review of model behavior alongside traditional code and infrastructure checks. Policy as code will evolve from an infrastructure concept into a way to define how AI agents operate, who can invoke them, and how outputs are validated before execution. Instead of static, role-based entitlements, McDaniel anticipates projects focused on AI access governance that continuously evaluate agent behavior against risk models."
AI-driven security priorities will move from rapid innovation to governance, accountability, and containment. DevOps teams that deployed AI capabilities now carry responsibility for system behavior, reach, and rapid containment of failures. Observability, compliance, and risk management are converging into unified, identity-centric telemetry, audit, and access views designed for resilience rather than mere visibility. AI governance will integrate into DevSecOps workflows with prompt hygiene, adversarial simulation, and structured model reviews. Policy as code will define agent operation, invocation rights, and output validation. Access models must evolve from static entitlements to continuous, contextual risk evaluation. Human mentoring, oversight, and ethical judgment remain decisive.
Read at App Developer Magazine
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