Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Futureproofing Tines: Designing AI infrastructure for scale

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?

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

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.

Multi-Agent AI Systems: Beyond the Basics

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.

How to migrate hundreds of Splunk SPL queries using AI

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.

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

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.

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

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.

Trusted AI Adoption (Part 1): Consolidation

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.