AI-Powered Threat Detection Engine
Real-time behavioral analysis, zero-day identification, and automated containment across endpoints, cloud, and network layers. Process 50M+ events/second with sub-millisecond latency.
Engineered for Maximum Coverage
Multi-layered detection combining signature matching, behavioral analytics, and machine learning to catch what others miss.
Behavioral AI Analysis
Unsupervised learning models establish baseline user/device behavior and flag deviations in real-time without relying on known threat signatures.
ML-PoweredZero-Day Detection
Advanced heuristic scanning identifies previously unseen exploits by analyzing execution patterns, memory allocation, and syscall anomalies.
ProactiveAutomated Playbooks
Pre-built and customizable response workflows automatically isolate hosts, block IPs, revoke tokens, and trigger forensics within milliseconds.
SOAR ReadyCross-Platform Visibility
Unified detection across Windows, Linux, macOS, AWS, Azure, GCP, Kubernetes, and legacy systems with a single lightweight agent.
Hybrid CloudThreat Correlation Engine
Links disparate events across network, endpoint, and identity layers to reconstruct attack chains and eliminate false positives.
Context-AwareEncrypted Traffic Inspection
SSL/TLS decryption and JA3/JA3S fingerprinting to detect malicious domains, C2 channels, and exfiltration attempts without performance degradation.
Deep PacketDetection Pipeline
A streamlined, high-throughput architecture designed for enterprise-scale threat intelligence.
Ingest
Collect logs, packets, and telemetry from agents, APIs, and SIEM connectors.
Normalize
Standardize data formats, enrich with threat intel feeds, and apply parsing rules.
Analyze
Run against ML models, signature DB, and behavioral baselines simultaneously.
Classify
Score severity, determine attack vector, and map to MITRE ATT&CK framework.
Respond
Trigger automated playbooks, alert SOC teams, and generate forensic reports.
Engine Performance
| Metric | Specification |
|---|---|
| Throughput | 50,000,000+ events/second |
| Detection Latency | < 0.8 milliseconds |
| Signature Database | 4.2M+ actively updated rules |
| ML Model Accuracy | 99.94% precision / 98.7% recall |
| Agent Overhead | < 2% CPU / < 150MB RAM |
| Supported Protocols | HTTP/HTTPS, DNS, TLS 1.3, SMB, RDP, SSH, gRPC |
| Compliance Mapping | MITRE ATT&CK v13, NIST CSF, ISO 27001, GDPR, HIPAA |
| API Rate Limits | Unlimited (token-based auth, 10k req/sec default) |
Native Integrations
Seamlessly connect with your existing security stack and cloud infrastructure.
AWS GuardDuty
Native VPC flow log ingestion
Azure Sentinel
Workload identity & KQL support
Google Cloud
Firewall rules & VPC scanner
Kubernetes
Pod security & runtime protection
Splunk / ELK
Forwarder & syslog support
Okta / Azure AD
Identity threat detection
Palo Alto / Fortinet
Firewall telemetry sync
REST / Webhook API
Custom automation pipelines
Built for Real Threats
Financial Services Compliance
Monitor transaction anomalies, prevent insider threats, and maintain PCI-DSS compliance with automated audit trails and real-time alerting.
High-Frequency MonitoringHealthcare Data Protection
Guard PHI/PII across on-prem servers and cloud EHR systems. Detect ransomware staging and unauthorized access attempts instantly.
HIPAA & Zero TrustOT/ICS Environment Security
Passive network monitoring for SCADA/PLC systems without impacting latency. Protocol-aware detection for Modbus, DNP3, and PROFINET.
Industrial IoTGlobal SaaS Platform Defense
Protect multi-tenant architectures from API abuse, credential stuffing, and account takeover with behavioral rate-limiting and AI filtering.
Scale-ReadyDeploy the Threat Detection Engine Today
Start monitoring in under 15 minutes. No infrastructure changes required. Full API access included.