Get immediate, accurate threat detection with COGNNA, powered by real-time correlation, behavioral analytics, and AI adaptive learning.
Overwhelming alerts drain resources and let real threats slip by, putting your business at risk. COGNNA ends alert fatigue with multi-layered detection, AI-led triage, and context-enriched processing for sharper, faster response.
Manual SOC means keeping pace with evolving threats, draining analysts and exposing businesses to missed attacks. COGNNA takes care of all of that for you with accurate threat detection that adapts in real time to the threat landscape.
Slow detection and delayed response leave businesses exposed, allowing threats to spread before action is taken. COGNNA delivers real-time visibility and faster MTTD with seamless, intelligence-driven detection.
90%
Faster Threat Validation
99%
Reduction in Alert Noise
37
Minutes MTTD
Integrate SIEM, EDR, cloud, identity, email, and network. The Context Layer builds an environment-aware map of assets, users, and relationships.
Leverage an AI-led detection engine that analyzes behavior, ML patterns, and threat intel to validate alerts, cut noise, and surface real threats.
Give feedback to COGNNA’s AI agents to fine-tune detections, reduce recurring noise, and boost accuracy through continuous feedback loops.
Threat detection is the process of identifying malicious activity or security risks within an organization’s systems, networks, or endpoints. Modern solutions like COGNNA go beyond traditional monitoring by using advanced threat detection techniques, including identity threat detection to catch account takeovers and insider threats. Together with threat detection and response tools, businesses can detect, analyze, and act on threats before they cause damage.
1. Signature-Based Detection – Identifies threats by matching known malware patterns or attack signatures.
2. Anomaly-Based Detection – Uses behavioral analysis to flag unusual activity that may indicate advanced attacks.
3. Identity Threat Detection – Focuses on monitoring user behavior, credentials, and access to stop account compromise.
4.Threat Detection and Response Platforms (TDR/XDR) – Combine advanced threat detection with automated response to deliver comprehensive coverage.
COGNNA’s advanced threat detection leverages the 4 methods and provides unified detection and response by integrating threat intelligence and AI automation to accelerate investigations and reduce time to detect (MTTD).
COGNNA's advanced threat detection is unique due to its Agentic AI architecture, Multi-Layered Detection Engine, and Context-Enriched Detection, which provide superior accuracy and validated efficacy beyond traditional methods.
Our AI-driven correlation, Context-Enriched Detection, and continuous validation processes work together to filter out noise. The Agentic Layer's cross-validation capabilities ensure that only high-confidence, genuine threats are prioritized.