COGNNA AI
Multi-agent AI system for autonomous threat detection, investigation & response

COGNNA AI
Multi-agent AI system for autonomous threat detection, investigation & response
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COGNNA AI Description
COGNNA AI is a multi-agent artificial intelligence system designed for security operations centers. The platform uses specialized AI agents that work together to manage cybersecurity operations autonomously. The system consists of five primary agents: a Manager Agent that orchestrates operations and prioritizes actions, a Discovery Agent that monitors user behavior and device activity, a Detect Agent that performs behavioral analytics and anomaly detection, an Investigate Agent that analyzes logs and reconstructs attack paths, a Threat Intelligence Agent that enriches alerts with external threat context, and a Reasoning Agent that generates confidence scores and plain-English summaries. The platform addresses alert fatigue by triaging alerts, reducing false positives, and automating threat classification. It accelerates security investigations through AI-led workflows that perform forensic analysis and uncover root causes. Each alert is enriched with behavioral insights, historical patterns, and threat intelligence to provide context. COGNNA AI provides asset discovery capabilities to map attack surfaces across environments and identify vulnerabilities. The system maintains full audit trails for all AI decisions and provides AI-recommended response actions. It includes an AI chatbot for automated reporting that translates technical findings into summaries for different audiences. The platform is designed to augment SOC teams by reducing routine workload while maintaining human oversight of security operations.
COGNNA AI FAQ
Common questions about COGNNA AI including features, pricing, alternatives, and user reviews.
COGNNA AI is Multi-agent AI system for autonomous threat detection, investigation & response developed by COGNNA. It is a Security Operations solution designed to help security teams with AI, SOAR, SOC.
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