Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

LimaCharlie

What Frontier Models Can Actually Do in a SOC: Open-source Benchmark for Agentic SecOps Capabilities

Mar 10, 2026 By LimaCharlie In LimaCharlie
Maxime Lamothe-Brassard, founder and CEO of LimaCharlie, sought answers on AI’s current capabilities in the SecOps space. Plenty of benchmarks exist to test AI's knowledge of cybersecurity, but none test whether a model actually does the work. There's a significant difference between an AI that can answer trivia questions about CVEs and one that can pick up an alert, investigate it, and produce an incident report.That gap matters more now than ever.
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tanium

Why our AI world demands a remediation-first approach to exposure management

Mar 10, 2026 By Tanium In Tanium
Editor's note: This guest article by Tanium Senior Sirector, Product Management, Julia Grunewald was originally published in SC Media Exposure management has emerged as a powerful alternative to traditional vulnerability management for good reason. A proactive, always‑on security discipline that continuously identifies an organization’s exposures and prioritizes them based on risk helps us know where to best focus our limited resources.
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Tines

Futureproofing Tines: Designing AI infrastructure for scale

Mar 10, 2026 By Yannick Gloster In Tines
At Tines, we power important workflows for some of the most demanding teams in the world, and for years, that always meant supporting deterministic, auditable automation. But as reasoning models have matured, our customers have started asking a different question: what if the workflow itself could reason?
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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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protecto

Multi-Agent AI Systems: Beyond the Basics

Mar 9, 2026 By Ashish Kamathi In Protecto
Production deployments. That’s where multi-agent AI systems live now, not research labs. Salesforce, Microsoft, and Cognition Labs are all running agent pipelines that replaced what used to take entire ops teams. Most businesses still don’t fully understand what they’ve switched on. A multi-agent AI setup isn’t just one model doing more things.
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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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