
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 Quote18 Concurrent Detection Capabilities
All 18 models run in parallel via asyncio.gather — 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
Post-Quantum Shield
World-first PQC attack surface protection — Dilithium-3/Kyber-768 timing side-channels, HNDL exfiltration, quantum brute-force patterns
AI Cyber Deception
Moving Target Defense: auto-deployed honeypots, honeyfiles, honey credentials — AI reshuffles topology every 6h. Zero false positives by design
Social Engineering AI
NLP-powered BEC, CEO fraud, and spear-phishing detection — stops $2.9B/year in wire transfer fraud before it happens
AI Digital Forensics
Auto-DFIR on CRITICAL events: attack timeline + actor attribution (APT29/Lazarus/Sandworm) + Dilithium-3 signed court-admissible evidence in minutes
OT/ICS Cyber Protection
Detects Stuxnet/Triton-type cyber-physical attacks on SCADA/PLC systems — integrates with Platform #19 OPC-UA at 10ms polling. Purdue L0-L5 coverage
Predictive Threat Intelligence
24-72h attack prediction from reconnaissance signals, sector peer incidents (FIN), CVE exploitation windows, and dark web correlation
Identity DNA & Breach Impact
Behavioral biometrics detect compromised accounts. BreachImpact quantifies GDPR/NIS2/DORA exposure in real-time + auto-generates 72h regulatory notification drafts
Supply Chain Guard
520 BrainPredict connectors cryptographically baselined with Dilithium-3. Detects dependency confusion, build pipeline poisoning, and backdoored software updates
18 Specialized AI Models — World's Most Comprehensive Cyber AI
8 core models + 10 Cyber Moat models — each running concurrently, specializing in a distinct threat domain. No competitor comes close.
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)
QuantumShield
NEW v2.0World-first PQC attack detector: harvest-now-decrypt-later exfiltration, Dilithium-3/Kyber-768 timing side-channels, classical downgrade attacks, fault injection probes — operates directly on the PQC crypto library call graph (92.3% accuracy)
DeceptionOrchestrator
NEW v2.0AI-powered Moving Target Defense: auto-deploys adaptive honeypots, honeyfiles, honey credentials, and honey network segments. AI reshuffles topology every 6h. Zero false positives — any deception artifact touch = confirmed attacker (99.9% accuracy)
AIAttackShield
NEW v2.0Adversarial ML attack surface protector: prompt injection via 10+ NLP patterns, model extraction via API rate analysis, data poisoning on training feeds, adversarial evasion input scoring, AI inference DoS detection (94.1% accuracy)
SupplyChainGuard
NEW v2.0Software supply chain integrity: all 520 connectors cryptographically baselined (Dilithium-3), dependency confusion detection, build pipeline poisoning (SolarWinds pattern), third-party update hash verification (95.7% accuracy)
CognitiveThreat
NEW v2.0Social engineering + BEC AI: NLP vocabulary analysis for wire transfer fraud, executive impersonation via lookalike domain detection, urgency/authority exploitation, deepfake audio/video metadata anomaly, OTTO Messenger integration (93.2% accuracy)
NeuralForensics
NEW v2.0Auto-DFIR engine triggered on CRITICAL verdicts: attack timeline reconstruction, memory artifact analysis (shellcode, hollowed processes), threat actor attribution (APT29, Lazarus, Sandworm, FIN7), Dilithium-3 signed court-admissible evidence, NIS2/GDPR 72h notification draft (94.7% accuracy)
OTCyberGuardian
NEW v2.0OT/ICS/SCADA cyber-physical protection: SIS targeting (Triton/TRISIS), unauthorized PLC logic writes (T0836), SCADA historian manipulation, process physics violation detection, engineering workstation compromise, malformed Modbus/DNP3 frame exploit detection — integrates with Platform #19 OPC-UA (96.1% accuracy)
ThreatHorizon
NEW v2.0Predictive threat intelligence 24-72h ahead: APT campaign cycle reconnaissance detection, sector peer incident correlation (via FIN zero-knowledge network), CVE exploitation window prediction, known attack infrastructure pre-emptive blocking, dark web signal correlation (88.4% accuracy)
IdentityDNA
NEW v2.0Zero-trust behavioral biometrics: per-user behavioral DNA (access velocity, resource graph, timing, device fingerprint), super-human velocity detection, impossible geographic travel, privilege escalation fingerprinting, service account anomaly (absolute zero false negatives for service accounts) (93.8% accuracy)
BreachImpact
NEW v2.0Real-time breach financial quantification: GDPR Art.83 penalty calc (up to €20M), NIS2/DORA regulatory costs, business interruption (hourly revenue × downtime), customer churn + brand erosion modeling, automatic DORA 4h/NIS2 72h notification drafts, cross-platform Intelligence Bus cascade to Finance + Legal + Risk (91.3% 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 152-expert MoE Router
Intelligence Bus v10 — CYBER Domain
160+ cyber.* event types (IDs 6600-6999) covering endpoint agent lifecycle, process events, file events, network threats, detection verdicts, response actions, threat intelligence, quantum attacks, deception contacts, OT/ICS incidents, AI adversarial attacks, forensic cases, and breach impacts — all routed sub-millisecond. 560 models across 20 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, Dilithium-3 signed, per-tenant zero-knowledge, tamper-evident. CRYSTALS-Dilithium-3 signs every verdict. Kyber-768 protects all key exchanges. NeuralForensics produces ISO/IEC 27037 admissible evidence packages. MoE Router routes cyber threats to 18 specialized cyber experts.
Sentinel — Live Threat Intelligence
Real-time cyber threat detection, zero-day prevention and GDPR compliance — all automated
Intelligence Layer — Cross-Platform Enhancements
The PL4 Intelligence Layer adds the following cross-platform capabilities to this platform via the Intelligence Bus v10 — no separate deployment required.
Cyber Threats in C-Suite Feed
Elevated cyber threats surface in the CISO and CEO daily feed in real time — EUR-ranked by breach impact probability.
Cyber Regulation Auto-Tracking
NIS2, DORA, and IEC 62443 cybersecurity obligations are tracked automatically and included in the weekly compliance brief.