Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Torq took home the top prize at Check Point’s 2025 Innovation Sandbox Competition during their annual CPX conference in Las Vegas. Chris Coburn, Torq’s Sr. Director of Tech Alliances, faced off against 13 other companies to pitch Torq’s AI-native autonomous SOC to a panel of judges and voting audience.

Businesses must manage IT operations and cybersecurity in the day-to-day and ever-evolving digital world, which is becoming more and more complicated. Cyber threats, system warnings, and the increasing amount of data are too much for traditional IT management techniques to handle. This is where artificial intelligence for IT operations changes the game.

How good is Symbolic AI as an automated expert system for analyzing code paths and detecting security vulnerabilities? Snyk Code is tested and demonstrates the benefits of rule-based, algorithmic systems.

AI has made good on its promise to deliver value across industries: 77% of senior business leaders surveyed in late 2024 reported gaining a competitive advantage from AI technologies. While AI tools allow developers to build and ship software more efficiently than ever, they also entail risk, as AI-generated code can contain vulnerabilities just like developer-written code. To enable speed and security, DevSecOps teams can adopt tools to integrate security tasks into developer workflows.

Cloud security teams are often faced with an onslaught of noise from their detection tooling, making it nearly impossible to distinguish truly malicious threats from benign behaviors. Many threats will go uninvestigated simply because there aren’t enough analysts for the sheer amount of alerts, leaving organizations exposed to potential breaches.