Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For too long, security has been defined by reaction, responding to every alert, chasing every anomaly, burning time and energy without clarity. But the strongest fighters don’t swing at every feint. They train, prepare, and conserve their energy for the moments that matter. That’s not just strength; that’s resilience. Now, this philosophy has entered the SOC. And it has a name: Sumo Logic Dojo AI.

Public sector organizations face unprecedented cybersecurity challenges as artificial intelligence reshapes how adversaries launch attacks. Threat actors now use AI to execute large-scale, highly personalized phishing campaigns, automate the discovery of vulnerabilities, and evade detection faster than traditional defenses can respond.

We’re thrilled to share that Snyk has, for the sixth time and fifth consecutive year, been named to the Forbes Cloud 100 ranked at, recognizing the world’s most innovative private cloud companies. This year’s recognition is especially meaningful, reflecting the bold step we took in May to launch the AI Trust Platform, reorienting Snyk around a single mission — securing the future of AI-native software development.

At Cloudflare, our mission is to help build a better Internet. That mission is ambitious, long-term, and requires constant innovation. But building for the future isn’t just about the technology we create — it’s also about investing in the people who will create it. That’s why today, we are incredibly excited to announce our most ambitious intern program yet: Cloudflare aims to hire as many as 1,111 interns over the course of 2026.

Modern enterprises run not only web apps and databases, but also AI agents and tooling servers. MCP (Model Context Protocol) is an interface pattern that exposes tools-functions the agent can call, such as a browser driver, accessibility checker, or script generator. One of the most powerful tools we found exposed was the ability to trigger a browsing task-likely driven by Selenium, Playwright or similar.

As AI becomes an integral part of how modern applications are built and deployed, it introduces new risks and new blind spots for security teams. Large language models, machine learning packages, and embedded AI services can be hidden deep in the software supply chain or running unnoticed in production. Without purpose-built visibility, organizations risk exposing sensitive data, shipping vulnerable code, or relying on models they cannot fully govern.