Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Governing the Agentic SDLC Through Continuous Policy Enforcement

The way software gets built has changed faster than the standards that govern it. AI agents now create pull requests, select dependencies, refactor codebases, interpret test failures, and execute infrastructure changes across the entire Software Development Life Cycle (SDLC). AI agents are autonomous team members, but unlike human engineers, they are ephemeral: their reasoning, decisions, and tool calls vanish the moment the session ends. You can’t hold an ephemeral process accountable.

The Year the Vulnerability Backlog Changed Shape

As we enter the AI era, few among us have found themselves so entrenched in the throes of the shifting landscape as CISOs. With the threat landscape shifting, they are up against increasing rates of vulnerabilities and exploits alongside rapidly scaling demands for ever more secure environments. As CISOs, with our role as the protectors of an organization, we are expected to deliver guidance and security visibility. This is not a vision of the future, it’s today’s reality.