Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why don’t developers fix every AppSec vulnerability, every time, as soon as they’re found? The most common answer? Time. Modern security tools can surface thousands of vulnerabilities in a given codebase. Fixing them all would take up a development team’s entire capacity, often competing with feature development and other priorities.

For most engineering teams, AI feels like a breakthrough years in the making. Code gets written faster, reviews move quicker, and releases that once took weeks now happen in days—or even hours. But as more of the software lifecycle becomes automated, a less comfortable reality is setting in: application security hasn’t kept pace, and AI-native security practices are often missing. When AppSec foundations are immature, AI doesn’t reduce risk—it scales it.

For years, security programs reported progress using the same familiar metrics: number of vulnerabilities, patch rates, backlog size. These metrics became the default scorecard not because they reflected risk, but because they were easy to produce. The problem is that these metrics do not measure security improvement. They measure activity. Vulnerability counts rise and fall with scan cadence. Patch rates spike around maintenance windows. Backlogs grow when coverage improves.

Today, the government of Canada issued a statement announcing that Arctic Wolf will continue to co-chair the Counter Ransomware Initiative Public-Private Sector Advisory Panel in 2026, alongside Public Safety Canada and BlackBerry. The panel will also include member organizations such as Ensign InfoSecurity, the Institute for Security and Technology, Microsoft, Palo Alto Networks, and the Royal United Service Institute.

WordPress is entering a new phase in how websites are managed with the introduction of API Abilities and support for the Model Context Protocol (MCP). These updates allow WordPress core, plugins, and themes to clearly define the actions they support and how those actions should be executed. For the first time, WordPress can communicate its capabilities in a structured way that large language models can reliably understand.

As we embed AI agents into our lives and workflows, we’re learning the (sometimes surprising) ways in which they outperform human beings, and other ways in which they fall short. And occasionally, we find an example where agents, paradoxically, are both better and worse than their human users.

Valentine’s Day is all about perfect pairs, and in cybersecurity, nothing creates more operational harmony than natively integrated services working together. That’s where unified cyber protection shines. Whether it’s the synergy of RMM and EDR, RMM and backup or email security and security awareness training, natively integrated cyber protection delivers efficiency and resilience that standalone tools can’t match.

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo John White is the Field CISO for EMEA at Torq. A respected security executive with more than 20 years of leadership experience, John previously served as CISO at Virgin Atlantic, where he led a multi-year transformation deploying the Torq AI SOC Platform to modernize cyber operations.