Security teams are drowning in data. Logs flood in from everywhere.
Alerts fire constantly.
Yet real threats still slip through.
Traditional SIEM promised visibility.
What it delivered was -
Alerts without context.
Rules without intelligence.
Investigations slowed by manual effort.
So we reimagined SIEM for the AI era.
SIEM & SIEM++, transform security monitoring from rule-based log aggregation into AI-driven threat intelligence and response—built to operate at enterprise scale and
adversary speed.
This is not incremental
improvement. This is
a fundamental shift.
Traditional SIEM
- Static, rule-based detection
- High false positives and alert fatigue
- Manual correlation and investigation
- Reactive threat response
- Limited scalability in cloud and hybrid environments
SIEM++
- AI/LLM-driven detection and correlation
- Intelligent alert prioritization with confidence scoring
- Automated incident creation and enrichment
- Proactive, predictive threat identification
- Cloud-native scale with full telemetry utilization
This is SIEM evolved into security intelligence.
Key capabilities
AI-Powered Event Analysis & Threat Detection
- AI/ML-driven detection of anomalies and unknown threats
- Behavioral modeling to identify subtle attack patterns
- Continuous learning from historical and live data
Intelligent Alert Prioritization & Noise Reduction
- AI-driven filtering to eliminate false positives
- Risk-based ranking of alerts with confidence scoring
- Significant reduction in analyst workload
Automated Incident Creation & Enrichment
- Automatic correlation of related events into a single incident
- Enrichment with asset context, user behavior, threat intelligence
- Pre-built incident timelines and impact assessment
LLM-Based ChatOps Interface
- Natural-language interaction with incidents and logs
- Ask questions like “What caused this incident?” or “Show lateral movement paths”
- Instant summaries, insights, and recommended actions
- Reduced human error during investigations
Proactive Threat Hunting & Intelligence
- AI-powered threat hunting without manual queries
- Integration with real-time and historical threat intelligence
- Detection of emerging threats before exploitation
- Industry- and environment-specific threat relevance
Seamless Integration with Existing SIEMs
- Enriches existing SIEM offenses and alerts
- Preserves current investments while upgrading intelligence
- Flexible deployment across hybrid and cloud environments
Use cases
Why us
AI-native SIEM — not rule-driven
SIEM++ is built on AI, LLMs, and ML from the ground up.
Reduces human effort, not just adds tools
Automation, enrichment, and conversational intelligence free analysts to focus on high-value work.
Part of a larger AI-native SecOps platform
SIEM++ integrates seamlessly with SOAR, RBVM, EBA, GRC, Resiliency Operations, and Unified Data—turning detection into coordinated enterprise defense.
AI-native and predictive by design
Machine learning and threat modeling are embedded at the core.
Integrated into the iStreet security fabric
RBVM works seamlessly with SIEM++, SOAR, Resiliency Operations, GRC, and Unified Data.
