Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

We're witnessing a paradigm shift from reactive security tools to proactive, intelligent defenders. AI agents represent the next evolution beyond traditional security systems, fundamentally changing how we approach cybersecurity.

Did developers steal the spotlight of agentic workflows with the wave of AI coding assistants sweeping the media, startups, and tech? What about DevOps workflows, container security, and operating system vulnerability scanning? One of the most time consuming tasks of application security engineers and those responsible for production artifacts is tracking Common Vulnerabilities and Exposures (CVEs) and in what way they impact a bundled application.

Federal agencies are moving fast to unlock AI's potential—from improving citizen services to driving mission outcomes. But with all that innovation comes a new wave of complexity and risk. Security, trust, and transparency can’t be afterthoughts. They need to be part of the build and AI adoption process from day one. AI-driven development is exponentially increasing both code speed and code insecurity, as AI generates code with up to 40% more vulnerabilities than human developers.