Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

LAPSUS$-linked breaches did not break multi-factor authentication (MFA) cryptographically. Attackers obtained valid authentication outcomes through techniques commonly described as MFA fatigue attacks or MFA bypass attacks, including push-prompt abuse, SIM swapping, social engineering, and session token replay. Understanding how these attacks succeed helps explain where modern identity defenses must evolve.

Cybersecurity doesn’t really have quiet days. Usually, it’s just long stretches of constant noise before realizing you’ve been blindsided. That blindside is a flat list of unprioritized vendors. Without a way to filter what matters when a team needs to mitigate the fallout of a crisis, a vendor inventory like this becomes a compliance-only activity that offers a false sense of security.

NIS2 documentation requirements form the essential foundation of regulatory compliance — defining the documented controls that underpin NIS2 audit readiness and demonstrable cybersecurity governance. Yet in 2026, the landscape is shifting: documentation alone is no longer enough.

We’ve got a boatload of features to show off this week. We knocked out some of the most common requests, user management, single-sign on, and my personal favorite: the weekly email summary.

Microsoft Entra ID controls identity across Microsoft 365, Azure, and SaaS, making it a primary target for credential theft, OAuth abuse, and session hijacking. Defenders need phishing-resistant MFA, hardened PIM, tuned Conditional Access, and SIEM-integrated identity signals. Native tools do not cover on-prem AD threats, long-term retention, or cross-platform correlation, so hybrid organizations need complementary tooling.

‍ ‍Cyber risk management plays a foundational role in enabling business resilience. As organizations today rely more heavily on digital infrastructure than ever before, the world's cyber threats have direct implications for operational continuity and revenue stability. The ability to manage these risks proactively, therefore, determines how well a company can absorb disruption and maintain performance under pressure.

AI tools are everywhere. Value isn’t. Most organizations already use AI—chatbots answer questions, assistants summarize documents, and agents kick off workflows. And yet, day-to-day work often feels the same, with people still digging through folders and teams still double-checking decisions. AI exists, but the returns vary widely. The problem isn't with AI. It's the way the work is set up. Work is fragmented across tools, systems, and formats that were never designed to work together.

AI compliance ensures AI systems follow laws, ethics, and standards by managing risks like bias, privacy violations, and lack of transparency through robust governance, documentation, and continuous monitoring, using frameworks like the EU AI Act and NIST AI Risk Management Framework (RMF) to build trust and avoid penalties in developing, deploying, and operating AI.