BrainPredict Cyber
The AI-native security platform that makes signature-based antivirus obsolete. 8 concurrent behavioral detection models protect your endpoints, network, and identity — detecting zero-days, ransomware, and APT campaigns in under 100ms, with cryptographic forensic recording of every verdict.
What BrainPredict Cyber Delivers
Behavioral AI that detects what signatures can never catch — novel malware, zero-days, and APT campaigns in real time.
Detect Zero-Days Without Any Signatures
The ZeroDayPredictor matches abstract attack strategies across the MITRE ATT&CK kill chain — Execution, Persistence, Privilege Escalation, Defense Evasion, C2, Exfiltration. When a process sequence matches a known attack strategy, it is flagged even on first encounter, with no prior malware sample required. This closes the gap the entire antivirus industry has failed to close for 30 years.
Stop Ransomware Before Encryption Completes
The RansomwareDetector monitors five concurrent signals: file encryption rate velocity, extension churn toward known ransomware patterns, VSS shadow copy deletion (T1490), backup service termination, and recursive directory encryption spread. Average detection time: 3.2 seconds from encryption start.
Expose C2 Channels and Lateral Movement
NetworkAnomalyDetector exposes C2 beaconing through statistical periodicity analysis — synthetic jitter has a coefficient of variation below 0.2, which human traffic never achieves. LateralMovementDetector builds a multi-host graph and flags credential reuse across 4+ hosts and admin tool propagation (PsExec, WMI, SSH) across 3+ distinct hosts in 10-minute windows.
Cryptographic Forensic Recording
Every verdict is immutably recorded in Sentinel's SHA-256 linked AuditChain. Tampering with any historical record breaks the chain — providing court-admissible, tamper-evident forensic documentation. Zero telemetry ever leaves the tenant perimeter: full zero-knowledge on-premise architecture with no cloud dependency.
Why Traditional AV Fails — And How We Fix It
Signature AV misses zero-days and custom malware
Behavioral ML detects attacks with no signature — ever
Ransomware encrypts thousands of files before detection
Multi-signal detection stops ransomware in 3.2 seconds
C2 channels hide in normal HTTPS/DNS traffic
Periodicity + entropy analysis exposes synthetic beaconing
Lateral movement goes undetected across hosts
Graph engine maps credential reuse across entire estate
No forensic trail for incident response
SHA-256 cryptographic audit chain on every verdict
Cloud-dependent AV exposes sensitive telemetry
Zero-knowledge on-premise — no data ever leaves tenant
Available in 30+ Languages
All AI predictions, insights, and recommendations from this platform are automatically translated to your preferred language using our T5 Translation Service. Choose your languages during installation.
Technology Validation
8 AI models validated through 500+ test scenarios, ready for real-world deployment
Specialized models for Cybersecurity use cases
Validated across 500+ test scenarios
Extensively tested, ready for real business conditions
Want to test Cybersecurity with YOUR real data?
Get a Custom Quote8 Concurrent Detection Capabilities
All models run in parallel — complete verdict in under 100ms regardless of event volume
Zero-Day Detection
Kill-chain strategy matching detects novel attacks with no prior signatures
Ransomware Prevention
Detects active encryption in 3.2 seconds average — before completion
Behavioral Endpoint
Isolation Forest + LSTM catches threats that bypass all signatures
C2 Beacon Detection
Statistical periodicity analysis exposes command-and-control channels
Phishing Intelligence
Brand impersonation + DGA + URL entropy stops phishing before credentials are entered
Cryptographic Forensics
SHA-256 linked AuditChain — tamper-evident incident record for every verdict
Lateral Movement
Graph-based multi-host credential reuse detection across your entire estate
MITRE ATT&CK Mapping
Every finding mapped to ATT&CK technique and tactic with threat actor attribution
8 Specialized AI Models
Each model runs concurrently, specializing in a distinct threat domain
Endpoint Behavior Analyzer
Isolation Forest + LSTM behavioral baseline — detects process anomalies as infection signals without any malware signatures (94.3% accuracy)
Malware Classifier
XGBoost on static PE features + Shannon entropy + SHA-256 IOC hash lookup — two-stage classification with instant known-hash verdict (96.3% accuracy)
Ransomware Detector
Multi-signal behavioral detection: file encryption rate velocity, extension churn, VSS shadow copy deletion (T1490), backup service termination — avg 3.2s to detect (97.1% accuracy)
Network Anomaly Detector
C2 beaconing via periodicity analysis, DNS tunneling via label-length entropy, data exfiltration volume z-score, port scan detection (93.7% accuracy)
Lateral Movement Detector
Graph-based multi-host analysis — credential reuse across N hosts, admin tool propagation (PsExec/WMI/SSH), deep process spawn chain detection (92.4% accuracy)
Phishing Classifier
Brand impersonation via Levenshtein distance on 25 major brands, DGA subdomain entropy, URL shortener detection, credential keyword density — extends BrainBrowser Layer 1 (95.2% accuracy)
Zero-Day Predictor
Kill-chain strategy matching across MITRE ATT&CK phases — detects APT campaigns, stealthy exfil, credential harvest with NO signatures required (88.7% accuracy)
Threat Intelligence Correlator
MITRE ATT&CK technique mapping, threat actor TTP fingerprinting (28 actor groups), IOC correlation, kill-chain completeness scoring for campaign attribution (94.1% accuracy)
SIEM & SOC Platform Integrations
Plug BrainPredict Cyber findings directly into your existing security stack
Microsoft Sentinel
Splunk SIEM
CrowdStrike Falcon
SentinelOne
Carbon Black
Elastic SIEM
IBM QRadar
Palo Alto XSOAR
ServiceNow SecOps
MISP
Shared Technology Foundation
Built on BrainPredict's unified AI OS — Intelligence Bus v4, Sentinel Safety OS, and 136-expert MoE Router
Intelligence Bus v4 — CYBER Domain
100+ cyber.* event types (IDs 6600-6899) covering endpoint agent lifecycle, process events, file events, network threats, detection verdicts, response actions, and threat intelligence — all routed sub-millisecond. 454 models across 17 platforms share the same event fabric.
Sentinel Safety OS + AuditChain
Every ThreatVerdict maps directly to a SentinelAction (ALLOW/AUDIT/QUARANTINE/DENY/ESCALATE) and is immutably recorded in the Sentinel AuditChain — SHA-256 hash-linked, per-tenant zero-knowledge, tamper-evident. MoE Router routes cyber threats to 8 specialized cyber experts.