Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most enterprise security programs were built around a simple assumption, not invalid assumption that data moves when a person decides to move it. AI agents have broken that model, and now act autonomously, reading files, calling APIs, executing code, and transferring data across systems without waiting for a human to approve each step. Many of these agents were never sanctioned by IT or security.

The industry has spent the past few weeks focused on Claude Mythos Preview and the rise of autonomous offensive AI. As outlined in Claude Mythos, Project Glasswing, and the Machine-Speed Security Race, this shift is not only about faster attacks. The same AI-driven acceleration that helps attackers discover weaknesses faster can also help defenders validate exposure sooner. For security operations teams, the challenge is turning that strategic shift into action.

The cybersecurity landscape is changing quickly, and independent research confirms what many organizations are already experiencing: Fragmented tools are no longer enough. A new Info‑Tech report, “Prioritize unified, AI-powered platforms for cybersecurity, data protection, endpoint management and compliance,” explores why leading organizations are rapidly shifting to unified platforms.

Twenty years ago, the idea of continuously scanning software for vulnerabilities at scale was ambitious. Today, it’s essential. As Veracode marks its 20th anniversary, we’re not just looking back at what we’ve built; we’re looking forward at what the data tells us about where software security needs to go next. And the data says a lot.