Building an Insider Threat Detection System That Remembers Behavior Instead of Just Logging It
InsiderShield is a new insider threat detection system that focuses on behavioral memory rather than just logging isolated events. It continuously learns and updates employee behavioral profiles to identify potential threats more accurately. By comparing current activities against established baselines, the system aims to reduce false positives and enhance security responses in real time.
- ▪InsiderShield monitors employee activity and builds evolving behavioral profiles for each user.
- ▪The system tracks various signals such as login patterns, trusted devices, and file access behavior.
- ▪Traditional monitoring systems often fail to provide context, making it difficult to identify real insider threats.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3940873) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Shashank Alagawadi Posted on May 19 Building an Insider Threat Detection System That Remembers Behavior Instead of Just Logging It #cybersecurity #machinelearning #monitoring #security Most security dashboards are very good at storing events and surprisingly bad at understanding them. That was the problem I kept running into while building InsiderShield. Existing monitoring systems could tell me that an employee downloaded files at 2:13 AM from an unfamiliar device.
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