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BrainPredict Cyber Platform
AI-Native Cybersecurity Platform

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.

8
AI Models
3.2s
Avg Ransomware Detection
<100ms
Verdict Latency
0
Signatures Required

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

Problem:

Signature AV misses zero-days and custom malware

Solution:

Behavioral ML detects attacks with no signature — ever

Problem:

Ransomware encrypts thousands of files before detection

Solution:

Multi-signal detection stops ransomware in 3.2 seconds

Problem:

C2 channels hide in normal HTTPS/DNS traffic

Solution:

Periodicity + entropy analysis exposes synthetic beaconing

Problem:

Lateral movement goes undetected across hosts

Solution:

Graph engine maps credential reuse across entire estate

Problem:

No forensic trail for incident response

Solution:

SHA-256 cryptographic audit chain on every verdict

Problem:

Cloud-dependent AV exposes sensitive telemetry

Solution:

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.

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100% GDPR Compliant
Runs on Your Premises
Zero External APIs

Technology Validation

8 AI models validated through 500+ test scenarios, ready for real-world deployment

8
AI Models

Specialized models for Cybersecurity use cases

88-97%
Accuracy Range

Validated across 500+ test scenarios

Ready
Production Status

Extensively tested, ready for real business conditions

Want to test Cybersecurity with YOUR real data?

Get a Custom Quote

18 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.

8 Core Models (v1.0)10 Cyber Moat Models (v2.0)Post-Quantum ReadyOT/ICS ProtectedAI Self-DefenseZero False Positives (Deception)

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 v2.0

World-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 v2.0

AI-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 v2.0

Adversarial 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 v2.0

Software 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 v2.0

Social 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 v2.0

Auto-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 v2.0

OT/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 v2.0

Predictive 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 v2.0

Zero-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 v2.0

Real-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.

Ready to Make Antivirus Obsolete?

Join forward-thinking security teams using BrainPredict Cyber to catch what signatures miss

Sentinel — Live Threat Intelligence

Real-time cyber threat detection, zero-day prevention and GDPR compliance — all automated

Sentinel — Cyber IntelligenceAI Threat Detection & Zero-Day ResponseLIVE
Threats Blocked
24,701
This month
Detection Speed
1.2s
vs 4h industry avg
Zero-Days Caught
14
Before exploit
False Positives
0.3%
Industry: 47%
LIVE EVENT STREAM