How AutoSecT Handles False Positive Reduction at Scale
AutoSecT by Kratikal is an AI-driven pentest and VMDR platform that is being built and improved habitually to detect and inform you about the flaws in your asset inventory, like cloud, web apps, mobile apps, API endpoints, and network. It excels in AI-driven real-time vulnerability analysis, real-time validation of security threats using intelligent automation, prioritizing and managing vulnerability mitigation lifecycle based on risks – critical, high, medium, low. As a part of VMaaS, AutoSecT lists out the vulnerabilities after AI-verification, ensuring false positive reduction along with AI-driven recommendations for each vulnerability, making it easier and more efficient for teams responsible for patching the loopholes.
AutoSecT lists out the vulnerabilities after AI-verification, ensuring false positive reduction along with AI-driven recommendations.














