Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

On August 6, 2025, Microsoft disclosed a high-severity post-authentication vulnerability affecting on-premises Microsoft Exchange servers configured for hybrid-joined environments, tracked as CVE-2025-53786. The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has issued Emergency Directive 25-02, requiring federal agencies to patch the vulnerability by Monday, August 11.

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.

Adobe Experience Manager (AEM) Forms on Java Enterprise Edition (JEE) has suffered two critical vulnerabilities CVE‑2025‑54253 and CVE‑2025‑54254 disclosed in early August 2025. According to Adobe, both flaws carry public proof-of-concept (PoC) exploits, though there are no known in-the-wild attacks as of today.

In our recent webinar featuring Enterprise Strategy Group Principal Analyst, Tyler Shields, we discussed the widening gap between vulnerabilities organizations know about and what they can realistically fix. Most teams are swamped. Too much data, too many tools, and not enough people. Naturally, automation and AI come up as potential solutions. One comment from Tyler has stuck with me since watching and subsequently reviewing the webinar recording.

Azure CSPM (Cloud Security Posture Management) helps users maintain secure cloud setups. This post covers the basics, including the role of scanning virtual machines, various scan methods, and methods for viewing results.

Generative AI is reshaping how software is made, secured, and scaled. At Snyk’s Lighthouse event in Silicon Valley, leaders from engineering, security, and platform teams gathered to explore one big question: How do we build AI-powered systems that move fast, without breaking trust? For many, that future is already here — 60% of organizations at the Summit reported building agentic apps internally. The answers weren’t just technical. They were cultural. Organizational. Strategic.