Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

After the migration: securing and optimizing Tines Cases

With your data migrated and your team settled into Tines Cases, the final phase is making the most of your new case management platform. This is the final part of our series on migrating to Tines Cases and will cover securing the migration infrastructure, cleaning up technical debt that every migration leaves behind, and tuning your environment so it keeps getting better over time.

Agentic AI Security Guardrails: A Deployment Guide for SOC Leaders

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Noam Cohen is a serial entrepreneur building seriously cool data and AI companies since 2018. Noam’s insights are informed by a unique combination of data, product, and AI expertise — with a background that includes winning the Israel Defense Prize for his work in leveraging data to predict terror attacks.

AI policy: a template for enterprise security teams

AI adoption inside security teams is now near-universal. Tines' Voice of Security 2026 report found that 99% of SOCs use AI in some capacity. What hasn't kept up is the policy that's supposed to govern it. ISACA's 2026 AI Pulse Poll found 56% of digital trust professionals don't know how quickly they could shut AI down after a security incident. The policy was supposed to handle this.

Laying the groundwork for your migration to Tines Cases

Migrating from your previous ticketing platform to Tines Cases is a straightforward project when you break it into manageable steps. This is part two of our Tines Cases guide and walks through those steps and provides practical advice on how to avoid common pitfalls, keep your migration on schedule, and end up with a well-structured Cases environment from day one.

What it took to get 90% of Tines using AI workflows in production

Every conversation I have with CIOs and IT leaders right now starts the same way. They're not short on activity. They've got pilots running, tools deployed, teams experimenting. What they don't have is much to show for it. The data backs it up: 92% of companies are ramping AI investment right now. Only 1% consider themselves mature.

Why AI-era attacks demand deterministic defense

The security industry spent a good chunk of early 2026 debating whether Anthropic’s Mythos and OpenAI’s Daybreak are truly dangerous or just good marketing. It's a reasonable debate. But while we're having it, attackers are asking a different question: how do we use tools like this to move faster than defenders can respond?

How Automated Data Collection Is Quietly Reshaping Cybersecurity Intelligence

Web scraping has a reputation problem. For most people, it sits somewhere between grey-area data collection and an outright nuisance that clogs up server logs. But among security professionals, automated data collection has quietly become one of the more valuable arrows in the threat intelligence quiver.

Torq Acquires Jit: The Grounding Layer the AI SOC Has Been Missing

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo AI in security operations is moving fast. Agent capabilities are compounding, and the conversation has shifted from whether AI belongs in the SOC to how much it can take on alongside human analysts. But every serious conversation with a CISO eventually lands on the same question: can I trust it? Trust isn’t a model problem. It’s a grounding problem.