Lateral movement detection is the practice of identifying an attacker who has gained an initial foothold and is now moving from system to system inside your environment. Because most lateral movement rides on stolen or abused credentials, the fastest way to catch it is credential-based attack detection: correlating identity signals (who authenticated, how, from where,
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The Zero-Friction Alternative: How Seceon aiSecurity UIDGuard360 Approaches Identity Threat Detection Across the first two posts in this series, we made the case that identity has quietly become the real perimeter, and that the four dominant approaches to defending it (kernel agents, walled gardens, governance platforms, and privileged access vaults) all tend to break down
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We Looked at Four Popular Approaches to Identity Security. Here’s Why Each One Breaks Down in Production. If you’ve sat through identity security vendor pitches over the last few years, you’ve probably heard some version of the same promise: deploy this, and credential-based attacks stop being a problem. Most of those pitches aren’t lying, exactly.
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A few years ago, a breach almost always started the same way: someone found a hole in your software and climbed through it. A missed patch, an exposed port, a zero-day nobody had named yet. That still happens. But it is only part of the story. The other half is quieter, and in some ways
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