Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Secure private networking for everyone: users, nodes, agents, Workers - introducing Cloudflare Mesh

AI agents have changed how teams think about private network access. Your coding agent needs to query a staging database. Your production agent needs to call an internal API. Your personal AI assistant needs to reach a service running on your home network. The clients are no longer just humans or services. They're agents, running autonomously, making requests you didn't explicitly approve, against infrastructure you need to keep secure.

The Platform Economy Is Rewriting the Rules for IT

There’s a fundamental shift happening in enterprise IT. It’s not about another feature or another product category. It’s about economics. We call it the Platform Economy, and it defines a new operating reality for IT teams. For years, enterprises have operated in what’s described as the portfolio economy: multiple products, sometimes from the same vendor, packaged together and presented as a suite. On paper, it looks consolidated.

Lightboard Lab: Closing the Valley of Visibility in Network Vulnerability Assessment

Network Vulnerability Assessment is often treated as a point-in-time exercise—but real environments don’t stand still. Between long scan cycles, two things are constantly changing: network devices drift as configurations and versions evolve, and the world around them shifts as new vulnerabilities are disclosed.

The firewall appliance is part of the problem. The legacy stack is all of it.

When static perimeters were a thing, networking and security vendors sold organizations products to fix an IT need or problem. That fix would expose a gap somewhere else, so the market named the gap, built a category around it, and organizations were sold another product to plug it. That model didn’t age well as environments changed.

Episode 12 - The Agentic SOC: Upleveling Analysts with AI Knowledge Multipliers

Richard Bejtlich sits down with Stan Kiefer, Corelight’s Senior Manager for Data Science, to discuss how AI serves as a vital "abstraction layer" and "knowledge multiplier" for security analysts. Stan explains that while AI can synthesize complex information, it remains untrustworthy without high-fidelity network data at its center to provide verifiable evidence. The episode explores the shift toward an "agentic ecosystem" and a tiered architecture where a central orchestrator manages specialized sub-agents to accelerate detection and investigation.

Zero Trust for the East/West Battleground

Most major breaches do not spiral out of control because attackers get in. They spiral because attackers are free to move once they are inside. After gaining an initial foothold through compromised credentials, a misconfigured cloud workload, a remote device, or a third-party connection, sophisticated attackers pivot. They scan the network, escalate privileges, and move laterally across the LAN and datacenter until they reach critical systems.

Modernizing threat detection with advanced ML: Corelight Sensor v.29 release highlights

Staying ahead of sophisticated attackers requires a security platform that evolves at the speed of the threat landscape. Today’s attackers are AI-enabled, increasing the number of attacks and targeting vulnerabilities more quickly than ever. That's why we are excited to announce the Corelight Sensor v.29 release, a significant step forward in our mission to provide critical detections backed by the world's best network evidence.