// Security Intelligence & Event Management

Detect.
Investigate.
Respond.

Cloud-native SIEM platform combining AI-driven analytics, real-time threat detection, and automated response — protecting your entire digital estate across multicloud environments.

Events / Sec
0
Threats Blocked
0
Active Alerts
0
Data Sources
0
How SIEM Works
🖥️
Endpoints
Workstations, servers, mobile devices generating security telemetry
🌐
Network
Firewalls, IDS/IPS, proxy logs and packet captures
☁️
Cloud Services
AWS, Azure, GCP audit logs and cloud workload telemetry
🔑
Identity
Active Directory, IAM, SSO authentication events
🛡️
Core Engine
SIEM Platform
Collects, normalizes, correlates, and analyzes security data in real time using AI and rule-based detection
🔔
Alerting
Prioritized alerts with context-rich notifications and severity scoring
SOAR
Automated playbooks for incident response and threat containment
📊
Analytics
UEBA, threat intelligence and behavioral anomaly detection
📋
Compliance
Automated reports for GDPR, HIPAA, SOC 2, PCI-DSS requirements
Threat Intelligence Feed
Event Stream
Incidents by Category (24h)
Severity Distribution
Critical — 15%
High — 25%
Medium — 35%
Low — 25%
What SIEM Delivers
🔍

Real-Time Detection

Correlate millions of events per second using AI and rule-based analytics to identify threats the moment they emerge.

🧠

AI-Powered Analytics

Machine learning models detect anomalies in user behavior, network traffic, and access patterns that rules alone miss.

⚙️

Automated Response

SOAR playbooks trigger containment actions automatically — isolate hosts, disable accounts, block IPs in seconds.

🗄️

Unified Data Lake

Centralize logs from hundreds of sources into a scalable, cost-efficient data lake with hot, warm, and cold storage tiers.

🕵️

Threat Hunting

Proactively search for hidden threats using query languages, notebooks, and threat intelligence integrations.

📜

Compliance Reporting

Generate audit-ready reports for regulatory frameworks. Track compliance posture across your entire environment.

From Data to Defense
1
Collect
Ingest logs, events, and telemetry from every source across your infrastructure
2
Normalize
Parse and standardize data into a unified schema for cross-source correlation
3
Correlate
Match events against detection rules, threat intel, and behavioral baselines
4
Detect
Generate high-fidelity alerts with full attack chain context and severity scoring
5
Respond
Trigger automated playbooks or escalate to analysts with enriched investigation data