Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The next government security challenge isn’t AI models, it’s AI agents. Zenity and Carahsoft are helping agencies prepare. Across government agencies, AI agents are already interacting with sensitive data, mission-critical workflows, and public services. Yet most organizations still lack visibility into where these agents are deployed, what they can access, and how they behave once operational. The result is a growing governance gap between AI adoption and AI security.

The regulatory landscape for agentic AI is moving faster than most compliance programs are tracking. CISOs who wait for final guidance before building their compliance posture will find themselves in catch-up mode at exactly the wrong moment and, in some cases, already behind.

Security teams are spending more money than ever on offensive security, and getting less clarity than ever on what it buys using them. For a long time, the central debate was pentesting vs red teaming. That argument settled itself once buyers understood that the two serve different objectives. Now it’s slipping again due to autonomous pentesting vs red teaming.

Your SOC probably looks busy on paper and brittle in practice. Alerts land from email, endpoints, cloud workloads, identity providers, firewalls, and ticketing systems. Analysts swivel between consoles, copy indicators into chat, open cases by hand, and race to decide which events deserve containment and which ones are just noise. That model doesn't break because people are careless. It breaks because the volume, speed, and interdependence of modern environments outgrew manual response a long time ago.

The landscape of third-party cyber risk is undergoing a profound transformation, driven by an escalating threat environment, an expanding attack surface, AI, and a tidal wave of new global regulations. As organizations grapple with complex digital supply chains, regulators across the US and EMEA are stepping up oversight, making 2026 a pivotal year for compliance and risk management. This analysis explores the essential threat intelligence and regulatory shifts that demand immediate attention.

Every packet flowing through a Corelight sensor contains both security-relevant data and performance-relevant data. Until now, Corelight has focused exclusively on extracting security value from network traffic: connection logs, protocol analysis, and threat detections. But the same traffic that reveals lateral movement also reveals TCP latency. The same DNS queries that surface potential C2 channels also reveal resolution timing.

Corelight Sensor v29.1 and Fleet Manager v29.1.1 fundamentally expand what a Corelight Sensor delivers. The release turns existing network evidence into a shared source of truth for SecOps, NetOps, triage, and forensic investigation. Network performance monitoring and asset classification unlock new value from traffic you're already collecting.