AI is reshaping business at machine speed. From automating claims to improving customer engagement, organizations are embedding AI into core workflows faster than most security teams can track. As AI systems expand, they introduce a new class of security considerations. AI no longer lives in a single layer of the stack. It runs on cloud infrastructure, processes sensitive data, and operates through a growing network of human and non-human identities.

The acting director of America's Cybersecurity and Infrastructure Security Agency—the person tasked with defending federal networks against nation-state adversaries—triggered multiple automated security warnings by uploading sensitive government documents to ChatGPT. If this happened at CISA, it can happen at your organization too.

CertBot assumes every server that needs a certificate should also know how to request one, validate domain ownership, handle renewals, and manage failures. This makes sense with a handful of servers. One server, one cert, done. But infrastructures grow. Now you’ve got web farms sharing wildcards, load balancers, mail servers, VPN appliances. The “every server for itself” model doesn’t scale and isn’t sustainable. Even the Let’s Encrypt community knows it.

For years, data loss prevention has meant one thing: finding sensitive entities. Social Security numbers, credit card numbers, API keys—if you could pattern-match it, you could protect it. But this approach has always had fundamental limits. What happens when you need to protect customer IDs unique to your business? What about proprietary source code that doesn't contain any traditional PII?

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo This article was originally published on Security Info Watch. Running a SOC has never been cheap — but in 2026, it’s become unsustainable. The combination of surging alert volumes, rising labor costs, sprawling tool stacks, and skyrocketing breach expenses has pushed the traditional model to the breaking point.

The modern internet-facing attack surface is dynamic, JavaScript-driven, and deeply interconnected with third-party services and identity providers. Accurately securing this environment requires more than passive discovery or lightweight crawling—it requires deep, active crawling that fully simulates real-world browser behavior.

If you ask most organizations how they protect their APIs, they point to their WAF (Web Application Firewall). They have the OWASP Top 10 rules enabled. The dashboard is green. They feel safe. But attackers know exactly how your WAF works, and, more importantly, how to trick it. We recently worked with a major enterprise customer, a global leader in healthcare technology, who experienced this firsthand.

Payment Card Industry Data Security Standard (PCI DSS) compliance isn’t a once-a-year exercise; it’s a year-round effort that requires regular validation to protect cardholder data, manage risk, and maintain audit readiness throughout the year. Compliance failures are rarely caused by a single missing control.

For the fifth consecutive year, CRN has recognized Alex Ruslyakov as a Channel Chief. The honor for 2026 highlights Ruslyakov’s continued commitment to helping managed service providers (MSPs) deliver modern cyber protection successfully year after year. The annual CRN Channel Chiefs list spotlights the most influential leaders across the IT channel, celebrating those who champion collaboration, drive innovation and empower their partners and customers to achieve shared success.

The difference between a secure organization and a breached one depends on how well security is embedded into the Software Development Life Cycle (SDLC). Is security a built-in capability, or was it added after the core architecture was already in place? When it’s the latter, security is scattered and breaches happen.