Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

“Threat Actors Combine Automated and Hands-on Hacking Tools to Steal Sensitive Data.” Security teams read headlines like this every week. When they learn about new threats from sources like CISA Cybersecurity Alerts & Advisories, each one prompts a check on whether current tools cover it. And as these new threat vectors get published, some expose gaps that existing tools can’t cover. Teams respond by searching for products to address these risks.

Noam Cohen is Head of Artificial Intelligence at Torq, where he leads the AI research and engineering work that powers the platform’s agentic SOC capabilities. Noam work at Torq spans the core AI systems behind autonomous threat investigation, SOC memory, confidence-based decision thresholds, and the guardrails that make agentic AI trustworthy enough to act in production security environments.

AI is changing how vulnerabilities are discovered and exploited for defenders and attackers alike, and the practical effect is that the time organizations have between a flaw being found and a flaw being exploited keeps shrinking. Today, we have more known vulnerabilities than at any point in history, and they’re being exploited faster than ever.

Arctic Wolf Labs has observed a recurring social engineering pattern in hundreds of cases where threat actors have used Microsoft Teams’ external chat creation feature for impersonation scams, or to deliver malicious files. A consistent pattern of attacker behavior has emerged across these incidents: the use of the same throwaway tenants, the same “IT Support (Internal)” display names, the same remote-access tools, and increasingly, the same payload domains.

Microsoft states the position plainly. Copilot only surfaces organizational data to which individual users have at least view permissions, so it grants nobody access to anything they could not already open. What changes is that material somebody had permission to reach and never would have found now arrives in a summary. ‍ The governance work is therefore permissions work that predates the deployment.

Quantification integrated with a governance platform and quantification sitting beside one behave nothing alike after the first quarter. The integrated figure moves when control status moves. The standalone figure describes the date somebody last updated it. ‍ Two directions of data traffic make the difference, and most implementations build only the first one. ‍