Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A recent open letter from the UK government on AI-driven cyber threats highlights a clear shift in the threat landscape. Cyberattacks are no longer constrained in the same way by human expertise, as advanced AI models can now help identify vulnerabilities, generate exploit code, and increase the speed and scale of attacks.

For years, the annual penetration test or quarterly security scan served as the cornerstone of application risk assessments and application risk management. Teams would run the assessment, triage the findings, hand the report to developers, and wait for the next cycle. It felt like progress. It wasn’t.

The recent breach at Vercel has drawn a lot of attention, not because the initial entry point was unusual, but because of what the incident quietly demonstrates about how modern workflows shape the impact of a compromise. This did not begin with a phishing email or an exposed service. It began with an AI tool.

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A critical vulnerability CVE-2026-41940 has been identified in cPanel, WHM, and WP Squared, affecting cPanel & WHM versions after 11.40, as well as WP Squared. These web hosting control panels are commonly used to manage websites, email, databases, and server configurations, making unauthorized access a serious security concern.

Researchers recently analyzed 18,000 Claude Code configuration files pulled from public GitHub repositories. What they found was straightforward and alarming: developers are already installing mistyped, misconfigured, and near-identical MCP server names — often without realizing it. The human-error condition that makes typosquatting work was already present at scale before any attacker needed to exploit it.

We’ve established the new forensic reality: a massive 72.9% inventory gap exists between the vendors you monitor and those invisible to your security. We have seen the shortcomings of SSO and its inability to holistically monitor all the vendor applications your users engage with, along with a Shadow AI explosion that is compounding both issues. The era of procurement-only discovery is over. To secure the modern cyber workforce, we must pivot from "buying-based" to usage-based discovery.