Founder perspectives and field insights on AppSec, AI, and compliance.
A new IOActive study quantifies the security gap in AI-generated code: 59% average security performance, 31.6% fully exploitable, near-universal failure on infrastructure code. The numbers confirm what the architecture has been telling us — security can't live inside the generation layer.
AI is turning vulnerability discovery into a commodity. The real challenge is no longer finding issues — it's operating security at scale. Welcome to the era of VulnOps.
AI is making software dramatically faster to build. It is not making it easier to secure. In fact, it's doing the opposite.
Multi-agent coding is no longer experimental — teams are running dozens of AI agents in parallel across repositories. But as velocity scales, so does complexity. The real bottleneck is no longer speed. It's understanding.
AI makes code cleaner and more consistent—but security was never about syntax. It's about intent, context, and consequences. Here's why security becomes more necessary than ever in an AI-coded world.
Recent research reveals that as LLMs become more capable, security risks don't disappear—they shift. The real problem emerging is complexity, and security teams need new intelligence layers to keep up.
Traditional threat modeling is too slow for modern software delivery. AI reasoning is making it continuous, contextual, and built directly into the SDLC.
Traditional compliance processes operate on periodic snapshots, but modern systems change continuously. The gap between claimed security posture and actual system behavior is growing — and only continuous assurance can close it.
Exploring how artificial intelligence is transforming security operations and enabling teams to scale their security efforts effectively.
Security tech debt grows silently as companies scale. Here’s how AI, context, and automation can help teams stay ahead of risk instead of constantly playing catch-up.
A practical framework for integrating Agentic AI into cybersecurity organizations, exploring how autonomous AI agents can transform traditional security team structures through the lens of Team Topologies methodology.
For years, AppSec teams have been drowning in alerts and false positives. AI reasoning is ushering in a new era — one where security becomes intelligent, contextual, and continuous.