Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most security teams check the EDR box, check the proxy box, and move on. Against supply chain malware, neither provides meaningful protection because they were built for a different problem. Traditional malware has a way of sneaking onto a machine, whereas supply chain malware gets invited. The developer runs npm install, and the malicious code lands with full permission to execute. That inversion breaks both tools at the design level. ‍

OEM expectations have shifted. High performance is no longer enough, and systems must stay resilient for years or even decades across complex environments. Evolving cyberthreats and stricter regulations are increasing complexity. With legacy systems lasting longer and frameworks like the EU Cyber Resilience Act and IEC 62443 raising the bar, prevention alone no longer cuts it. Recovery readiness ensures fast, predictable restoration with minimal disruption.

There’s a conversation happening in boardrooms, security operations centers, and developer standups that I find both thrilling and concerning: the conversation about AI-assisted development. Engineering teams are shipping features in hours that once took months. Products that would have required six-month roadmaps are being prototyped in a weekend.

AI is reshaping the modern workplace. From automating tasks to generating in-depth research in seconds, AI tools are enhancing productivity at a lightning pace. GenAI assistants, agentic browsers, and automation platforms are everyday tools that employees are interweaving into their daily workflows. However, with this powerful new capability comes the serious risk of data loss.

For much of security history, one metric dominated: recall. Recall means: of all the sensitive data that exists, how much did you catch? If there are 100 pieces of PII in a document and your system finds 95, your recall is 95 percent. This made sense in the old security world. If a firewall missed a real threat, the company had a serious problem. If it blocked something safe, someone could investigate and fix it.

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo The AI SOC category just got its definitive race assessment, and Torq is at the front. In the May 2026 Gartner report AI Vendor Race: Torq Is the Company to Beat in AI SOC Agents for Threat Investigation (Document ID: G00855833), Gartner names Torq the Company to Beat.