Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

CISA Binding Operational Directive 26-04: Prioritizing Security Updates Based on Risk requires Federal Civilian Executive Branch (FCEB) agencies to prioritize security updates based on operational risk, not just severity. It builds on earlier Cybersecurity and Infrastructure Security Agency (CISA) directives by combining exposure, exploitation, impact, and prioritization logic into a more actionable remediation model.

The economics of continuous security at frontier-model prices, and why the math points back to independence. The frontier models are astonishing at finding vulnerabilities. That is not in dispute, and it is not what this piece is about. The question is not whether a frontier model can find a flaw in your code. It is whether you can afford to run one as your scanner, continuously, across your entire estate, the way real security actually works.

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.

When a primary server or database goes down, every second of downtime costs money. Automatic failover detects those failures and redirects traffic to a standby system without paging anyone at 3 am. Even consumer networking hardware is catching up in this regard.

Let’s catch up on the more interesting vulnerability disclosures and cyber security news gathered from articles across the web this week. This is what we have been reading about on our coffee break! There will be holes in any application. Do you trust it?

A request for proposal (RFP) response is a vendor's formal reply to a procurement document where a prospective buyer outlines all the information they need to make a final purchasing decision. It acts as a detailed pitch, typically covering pricing, solution architecture, references, and implementation timelines. For security and governance, risk, and compliance (GRC) teams, the section that consistently creates the most friction is the security and compliance questionnaire embedded inside an RFP.

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.