Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Over the last decade, while working with Fortune 500 enterprises and some of the most secure government networks on the planet, I’ve consistently heard the same question: “Can your software tell me what will happen if I push this change?”

Today, Cato Networks announced an integration of Cato XOps with the Cyera AI-native Data Security Platform Management (DSPM). The integration brings Cyera’s data security telemetry directly into Cato XOps, giving security teams visibility into the sensitivity and exposure of data involved in security events. In today’s distributed environments, data lives across the cloud, SaaS, endpoint, and network.

DDI Central version 6.1 introduced significant enhancements to the IPAM section, bringing a segmented view for sites, clusters, and supernets, along with multiple display options: table, tree, and card views. The release also added trusted feed configurations, root hint templates, and unmapped subnet monitoring, giving network admins greater flexibility and control over their DNS and DHCP resources.

The cybersecurity industry has long relied on a simple idea: find vulnerabilities, patch them, and measure success by how fast you close the gap. “Time-to-patch” became a badge of honor. That model no longer holds. The rise of Mythos-class Frontier AI Models introduces a different kind of threat. AI-driven, agentic attacks operate continuously, discover weaknesses automatically, and execute at a scale no human team can match.

Defenders have long known that richer evidence improves security outcomes by enabling faster triage, deeper analysis, and more complete investigation. Although Corelight was founded on this premise, it’s been hard for us to quantify the impact of better network data - until now. Recently, we built an agentic test harness to measure the success of frontier LLMs in responding to real-world attack scenarios, using a range of source data.