Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For the past two decades, enterprise security has evolved around a relatively stable assumption: software executes instructions, people take actions, and security teams are responsible for understanding and governing the interaction between the two. The technologies have changed. Infrastructure moved to the cloud. Applications became distributed. Identities expanded beyond employees to include partners, contractors, and machines. Yet the underlying model remained remarkably consistent.

Your ASPM dashboard shows your mobile security posture. The score reflects what your integrated testing tools found. It does not reflect what they could not test. For mobile apps, the gap between those two things includes the compiled binary, the third-party SDKs linked inside it, and what the app does at runtime on a real physical device. None of that data enters an ASPM dashboard built on source code scan results. The posture view looks complete. The coverage is not.

An AI-driven system at a beverage manufacturer recently churned out several hundred thousand excess cans after misreading unfamiliar packaging. The system didn’t recognize the company’s new holiday labels, flagged them as an error, and triggered additional production runs before the company caught the mistake. The system followed its instructions perfectly.

Phishing has always been a game of impersonation. But for decades, the tell was in the details: a misspelled word here, an awkward sentence there, a logo that was just slightly off. Security awareness training built an entire doctrine around those cues. Spot the typo, avoid the trap. That playbook is now obsolete. KnowBe4's latest Phishing Trends Report found that 86% of phishing attacks observed in the last six months involved some level of AI assistance.

A few weeks ago, we published our initial findings from Project Glasswing, looking at what happens when you point frontier security models at an enterprise codebase. We also explored how our defensive structures adapt to protect our infrastructure and customers from threats posed by frontier AI.

Finding issues is easier than ever. Triaging and fixing them is what's scarce. Through Snyk's Secure Developer Program, open source maintainers get the signal to cut through the noise and the platform to fix what matters, free for their open source projects.