The Platform
A hybrid threat detection engine combining behavioral AI, real-time threat intelligence, and plain-language alerts for enterprise-grade security.
Three Pillars
Behavioral AI
Unsupervised learning baselines normal network and user behavior. Autoencoders and isolation forests detect statistical anomalies before they become breaches.
- • Autoencoder baseline learning
- • Isolation forest anomaly detection
- • Real-time scoring pipeline
Threat Intel Feeds
Real-time integration with 500+ sources: CISA AIS, Recorded Future, Mandiant, open-source feeds. Graph-based correlation matches adversary TTPs.
- • CISA AIS integration
- • Commercial threat feeds
- • Graph-based correlation
Plain-Language Alerts
LLM layer translates technical signals into risk narratives. Actionable summaries for CISOs and SOC teams without expertise barriers.
- • Automated narrative generation
- • Context-aware scoring
- • Multi-stakeholder translation
MITRE ATT&CK Alignment
Every alert is mapped to the MITRE ATT&CK framework. Understand not just what happened, but where in the adversary kill chain it occurred.
- Tactics: Reconnaissance, Initial Access, Execution...
- Techniques: Spear-phishing, Exploitation, Living-off-the-land...
- Sub-techniques: 600+ fine-grained TTPs
Example: Lateral Movement Detection
Behavioral AI detects unusual credential usage. Threat intel confirms active TTPs. LLM summarizes:
"Potential lateral movement detected (ATT&CK: T1078 - Valid Accounts). Timing matches reported Scattered Spider campaign activity."
Enterprise Performance
Ready to see it in action?
Request a demo and watch behavioral AI, threat intel, and LLM alerts work in concert.