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AI Models

All 8 BrainPredict Cyber AI models — from threat detection to SOC automation.

8 Cybersecurity AI Models

ThreatSensev4.2
94.1% accuracy

Real-time threat scoring from raw telemetry. Processes 100K events/sec. MITRE ATT&CK mapping for all detections.

SIEMNetworkEndpoint
SOC AutoPilotv3.1
91.8% accuracy

Level-1 SOC automation. Triages, enriches, and routes alerts. Reduces analyst queue by 70%.

SOCTriageAutomation
ZeroDay Predictorv2.9
88.4% accuracy

Predicts exploitability of new CVEs before public PoC exists. Correlates with threat actor TTP history.

VulnerabilityCVEExploit
InsiderThreat AIv3.5
93.2% accuracy

Behavioural analysis for insider threat detection. Baseline per user × role × location. UBA + UEBA.

UBAUEBABehaviour
Phishing Sentinelv4.0
97.1% accuracy

Real-time email and URL threat classification. 97.1% detection rate. Integrates with M365 and Google Workspace.

EmailURLPhishing
CloudGuard Brainv2.7
90.3% accuracy

Misconfiguration detection and cloud threat intelligence for AWS, Azure, GCP. CIS benchmark scoring.

CloudAWSAzureGCP
NetworkDNAv3.3
92.7% accuracy

Network traffic analysis via deep packet inspection and flow metadata. Detects lateral movement, C2, exfiltration.

NetworkDPIC2
ComplianceRadarv2.4
89.6% accuracy

Continuous compliance posture for NIS2, ISO 27001, SOC 2, GDPR, DORA. Auto-generates evidence reports.

NIS2ISO27001DORAGDPR