Over the past year, I have spent a lot of time with security leaders who are trying to navigate the same tension. They know their operations need to move faster. They know the volume, speed, and complexity of what lands in the SOC are not going to ease up. But they are also trying to make smart decisions in environments where trust matters, governance matters, and the cost of getting it wrong is real.

In 2025, we embarked on a new journey to secure the most important technology transformation of this decade – generative AI. Our vision is to help companies secure their AI fast, so that they can innovate on the cutting edge and put AI and agentic use cases into production. To do this, we built Evo, the world’s first agentic orchestrator for AI security. The foundation of any product is customer needs.

The recent leak related to Claude Mythos has offered a rare and revealing look inside the real capabilities of frontier AI models. The details of the leak underscore a reality that cybersecurity leaders need to understand clearly: Advances in model capability do not automatically translate into advances in cybersecurity, nor do they translate into better security outcomes without the right platform to apply them.

Security operations demands precision and efficiency. Administrators manage complex environments, maintain data flow, uphold compliance, and keep the platform running at scale. Analysts work to quickly understand which alerts require action. Both roles depend on tools that reduce friction and help them move faster. The April 2026 LogRhythm SIEM release introduces updates that make daily security operations work more efficient.

Compare the top data access governance tools for 2026. Learn what to look for, and which platforms fit mid-market security teams. TL;DR: Data access governance tools map effective permissions to sensitive data, surface overexposed entitlements, and operationalize access reviews across hybrid environments. Without them, organizations cannot answer who can reach regulated data, enforce least privilege, or complete certifications without manual effort.

AI agents now participate directly in daily work. They write code, summarize data, generate documents, and automate tasks at a speed and scale no human can match. As your organization adopts more assistants and autonomous workflows, you introduce a new type of insider: an agent operating inside your systems with real identities, credentials, and privileges. Human and machine activity now blend inside enterprise environments. The shift expands insider risk in ways many teams can’t yet see.

When your CNAPP flags a suspicious dependency in an AI agent container, your WAF logs an unusual API spike, and your SIEM shows a burst of cloud storage calls—are those three separate incidents or one rogue agent attack? Most security teams treat them as three tickets in three queues, investigated by three people who may never connect the dots. By the time someone pieces together that a single compromised agent drove all three signals, the attacker has already moved laterally and exfiltrated data.

What resonated most at RWC 2026? GitGuardian highlights key research on private key leaks, password managers, trusted execution environments, and secret sprawl.

We’re excited to share new updates and enhancements for March, including: For more info on these updates, check out the list below and dive into the detailed articles. Please join the Egnyte Community to get the latest updates, chat with experts, share feedback, and learn from other users.