Artificial intelligence is no longer a “nice to have” in cybersecurity – it’s embedded everywhere. From detecting suspicious activity to responding to incidents in real time, AI now sits at the heart of modern security operations. But as organizations hand over more responsibility to intelligent systems, a tough question emerges: who’s really in control? This
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Cyber incidents in the public sector rarely begin with chaos. More often, they start quietly, with access that appears routine and activity that blends into normal operations. That pattern is evident in a recent breach involving the Victoria Department of Education, where unauthorized access exposed personal information belonging to current and former students and triggered
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Multi-factor authentication has long been treated as a security finish line. Once enabled, organizations assume that account takeover risks drop dramatically. Recent attacker behavior suggests otherwise. New reporting details a growing wave of adversary-in-the-middle (AiTM) phishing campaigns that are specifically designed to bypass MFA by hijacking authentication sessions in real time, according to IT Pro.
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Security teams invest heavily to eliminate blind spots, yet many organizations unintentionally create them through fragmented security architectures. These blind spots are not caused by a lack of telemetry. They are created when security platforms fail to interpret activity as a unified story across cloud, endpoint, identity, and network environments. Modern attacks are designed to
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