Topic: false positives reduction
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Theori Launches Xint Code for Large-Scale AI Security Analysis
Theori has launched Xint Code, an LLM-native SAST platform that rapidly analyzes millions of lines of code to bridge the scale gap in cybersecurity defenses. It combines large language models with a proprietary engine to drastically reduce false positives and identify critical, context-driven vul...
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Betterleaks: Open-Source Secrets Scanner for Enhanced Security
The creator of the popular Gitleaks tool has launched a new open-source secrets scanner called Betterleaks, designed as a direct, compatible replacement for detecting exposed credentials in code. Betterleaks introduces a novel filtering technique called Token Efficiency, which uses byte pair enco...
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Varist Hybrid Engine Defends Against AI-Powered Malware
Varist's new Hybrid Detection Engine uses AI to identify both known and novel malware at hyperscale, inspecting every file and simulating behavior in real-time while processing massive data volumes. The system is exceptionally fast and accurate, scanning hundreds of files per second with a near-z...
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