Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

cyberhaven

Now Available: Cyberhaven's Free AI App Risk Checker

Mar 10, 2026 By Cyberhaven In Cyberhaven
Most security teams are being asked to "enable AI" before they have any real sense of which tools are safe to use. That gap is costing them. Cyberhaven's research found that the majority of AI tools in active enterprise use today fall into high or critical risk categories, and more than 80% of enterprise data flowing into AI is going to those risky tools, not to platforms built with serious security in mind. To help security teams cut through the noise, we built the Cyberhaven AI App Risk Checker.
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How to migrate hundreds of Splunk SPL queries using AI

Mar 9, 2026 By Elastic In Elastic
Discover how AI can convert and migrate hundreds of Splunk SPL queries efficiently while providing detailed explanations for validation. Learn how to reduce manual effort and speed up SIEM transitions. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
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knowbe4

AI-to-AI Communication and Secret AI Code Must Be Stopped At All Costs

Mar 9, 2026 By Roger Grimes In KnowBe4
As I wrote in my recent book, How AI and Quantum Impacts Cyber Threats and Defenses, as we humans use AI more and more, AI will begin to communicate with itself using new AI-only communication methods that humans cannot easily see or read. If there is no human-readable audit trail or code, this is a very, very bad thing. It must be stopped at all costs. Humans are absolutely beginning to use AI more and more to do things they used to do manually. Soon, we will all be using multiple AI agents.
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armo

Best AI Intrusion Detection for Kubernetes: Top 7 Tools in 2026

Mar 9, 2026 By Yossi Ben Naim In ARMO
Why do traditional intrusion detection systems fail in Kubernetes? Legacy IDS tools were built for static servers with fixed IPs and clear network perimeters—Kubernetes breaks all of those assumptions. Ephemeral pods, east-west traffic, encrypted service mesh communication, and dynamic IP addresses make perimeter-focused, signature-based detection effectively blind inside clusters.
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jfrog

Trusted AI Adoption (Part 1): Consolidation

Mar 9, 2026 By Ohad Shalev In JFrog
Imagine your lead Software Engineer walks into your office and says, “Good news! I just deployed that critical update to production. I wrote the code on my personal laptop, didn’t run it through CI/CD, skipped the security scan, and just copied the files directly to the server with a USB drive.” You would fire them. Or you would revoke their access immediately.
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Hackerbot-Claw Crosses the Line - The 443 Podcast - Episode 361

Mar 9, 2026 By WatchGuard Technologies In WatchGuard
This week on the podcast, we chat about an OpenClaw bot that moved beyond vulnerability research and into malicious activity. Before that, we cover an AI-discovered vulnerability in the pac4j-jwt authentication library before ending with a discussion on an upcoming California law designed to help make age verification in the digital age easier, but with massive consequences.
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cyberhaven

Why AI-Native Endpoint DLP Is The Foundation of Modern Data Security

Mar 9, 2026 By Nishant Doshi In Cyberhaven
For a long time, data loss prevention (DLP) lived in the margins of security programs. It was something teams deployed to satisfy a requirement or reduce obvious risk. A handful of policies, some visibility into network traffic, maybe a scan of cloud storage. That was usually enough. That model reflected how work used to happen. Data moved more slowly, lived in fewer places, and followed more predictable paths. That is no longer true.
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reach security

Reach Recognized in Gartner Emerging Tech Report on Domain-Specific Language Models for SecOps

Mar 9, 2026 By John Dominguez In Reach Security
In its January 2026 report, Emerging Tech: Tech Innovators in Domain-Specific Language Models for SecOps, Gartner examines how domain-specific language models (DSLMs) are reshaping security operations. The report explains that DSLMs are designed to address the limitations of general-purpose language models by focusing on a particular task or use case – in this case, cybersecurity.
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