A security analyst that never sleeps.
AI Security Analyst continuously processes security telemetry from across your infrastructure, applying behavioral analysis, anomaly detection, event correlation, and AI-powered investigation to surface the activity that matters.
End-to-end security analytics architecture.
A unified platform built for cloud-scale security processing.
Ingestion Layer
Secure, real-time event collection
Processing Layer
Normalization · Enrichment · Feature Extraction
Analytics Engine
Behavioral Analysis · Anomaly Detection · ML Models
Intelligence Layer
Risk Scoring · Event Correlation · AI Investigation
Operations Dashboard
Alerts · Timelines · Investigations · Recommendations
Deep capabilities across the security lifecycle.
Advanced Detection Engine
Our hybrid engine combines deterministic rules with probabilistic machine learning to catch both known threats and novel attacks. By synthesizing multiple detection strategies, we minimize false positives while maintaining high efficacy.
- Behavioral Detection: Identifies deviations from established entity baselines.
- Statistical Detection: Flags unusual volume, frequency, or timing anomalies.
- Geographic Detection: Correlates impossible travel and unusual origins.
- Temporal Detection: Monitors for off-hours access and abnormal time sequences.
- Access-pattern Detection: Highlights excessive privileges and credential misuse.
Unusual Cross-Region Infrastructure Deployment
Entity: ServiceAccount-DevOps
Trigger: ML Model (Behavioral Deviation)
Action: CreateInstanceRegion: ap-northeast-1 (Anomaly: First time)Volume: 15 instances (Baseline: 1-2)
The journey of a security event.
From raw log to actionable intelligence in milliseconds.
1. Collection
Raw telemetry is ingested continuously from cloud APIs, identity providers, and SaaS platforms.
2. Normalization
Disparate log formats are transformed into a standardized, schema-agnostic data model.
3. Enrichment
Events are enriched with identity context, asset tags, threat intelligence, and geolocation data.
4. Feature Extraction
Key attributes are extracted to feed into behavioral profiles and machine learning models.
5. Detection
Rules and ML models evaluate the event against baselines and known threat patterns.
6. Correlation
The event is linked to other related activities to form comprehensive security graphs.
7. Risk Assessment
A dynamic risk score is calculated based on severity, context, and historical behavior.
8. AI Analysis
High-risk incidents are analyzed by our AI to generate plain-text summaries and evidence chains.
9. Investigation & Response
Analysts receive actionable insights and automated response playbooks are triggered if configured.
Security is foundational.
We built our platform with the highest standards of security and compliance to protect your most sensitive data.
End-to-End Encryption
All data is encrypted in transit using TLS 1.3 and at rest using AES-256. Keys are managed via industry-standard HSMs.
Strict RBAC
Granular Role-Based Access Control ensures users only have access to the data and features required for their specific roles.
Tenant Isolation
Logical and physical isolation mechanisms guarantee that your data is strictly segregated from other tenants.
Comprehensive Audit Logging
Every action taken within the platform is logged, immutable, and available for compliance and auditing purposes.
Secrets Management
Integrations and credentials are stored securely using enterprise-grade secrets management architectures.
Data Retention Controls
Flexible policies allow you to define exactly how long telemetry and investigation data is retained to meet regulatory requirements.
See it in action.
Experience the power of an AI-driven security operations platform.