Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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. ‍

Measure carries four categories and twenty-two subcategories, and they divide cleanly by what kind of evidence satisfies them. Some ask whether something was observed. Others ask whether something was tested. Monitoring answers the first group and contributes almost nothing to the second.

It's just hard to measure.