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Turn Security Signals
Into Decision-Ready
Threat Intelligence

Key capabilities Use cases Why us

AI-powered security intelligence that reduces noise and accelerates threat response.

iStreet’s SIEM++ brings AI-powered detection, behavioral analytics, intelligent correlation, and investigation intelligence into enterprise security operations. The solution analyses security telemetry across users, identities, devices, workloads, applications, cloud environments, and infrastructure to identify anomalous behavior, correlate related signals, and prioritize incidents based on risk and context.

Built within iStreet’s Sovereign AI Enterprise Platform, SIEM++ transforms security operations beyond log collection and alert management toward decision-ready intelligence, governed response, and continuous security visibility.

Powered by machine learning, behavioral analytics, and GenAI, iStreet SIEM++ is engineered for enterprise-scale security operations and rapidly evolving threats.

This is security intelligence that reasons, correlates, and acts.

This is not incremental improvement. This is a fundamental shift.

Traditional SIEM

  • Detection that only catches what you already know to look for
  • Alert volumes so high that real threats get buried
  • Correlation that depends on your team manually connecting dots across tools
  • Investigations that only start after damage
  • Response that waits for someone to trigger a playbook
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SIEM++

  • AI/ML-driven anomaly detection and behavioural analytics
  • Intelligent alert prioritization with confidence scoring and noise suppression
  • Automated, cross-domain event correlation into unified incidents
  • Proactive, GenAI surfaces context, timelines, and root cause narratives
  • Autonomous remediation with human-in-the-loop governance

This is SIEM evolved into security intelligence.

Key capabilities

AI-Powered Threat Detection

  • Applies AI, machine learning, and behavioural analytics across enterprise security telemetry
  • Identifies anomalies and suspicious behaviour beyond static signatures and predefined rules
  • Adapts detection context as enterprise environments and behavioural patterns evolve

Intelligent Alert Prioritisation & Noise Reduction

  • Scores alerts using threat confidence, asset criticality, business risk, and contextual signals
  • Reduces duplicate, redundant, and low-fidelity alerts before they consume analyst attention
  • Continuously prioritises incidents as new context becomes available

Automated Incident Correlation & Enrichment

  • Correlates related events, alerts, identities, assets, and threat signals into unified incidents
  • Enriches incidents with asset, identity, vulnerability, behavioural, and threat intelligence context
  • Builds incident timelines and supporting context to accelerate investigation

LLM-Powered Investigation & ChatOps

  • Natural language interaction with incidents, logs, and threat data
  • Root cause hypotheses, evidence chains, and recommended actions delivered instantly
  • Each shift receives full incident context through the existing conversational history.

Proactive Threat Hunting & Intelligence Integration

  • Suspicious patterns and emerging threats surfaced automatically
  • Global threat intelligence feeds matched against specific industry, geography, and infrastructure
  • Threats are detected before your detection logic existed found retroactively

AI-Assisted Investigation & Threat Intelligence

  • Enables natural-language interaction with incidents, logs, and security data
  • Surfaces investigation context, evidence relationships, and recommended actions
  • Connects threat intelligence with enterprise-specific activity to identify emerging threats

Use cases

Alert Fatigue Reduction

Correlates and prioritises high-volume security signals to reduce redundant and low-fidelity alerts, helping analysts focus on higher-risk incidents.

Accelerated Incident Detection & Response

Correlates security signals, enriches incidents with enterprise context, and provides investigation timelines and supporting evidence to reduce manual investigation effort.

Advanced & Multi-Stage Threat Detection

Connects related activity across users, identities, assets, workloads, and environments to identify sophisticated threats that may unfold across multiple stages or domains.

Insider Threat and Credential Abuse Detection

Identifies anomalous access, privilege activity, identity behaviour, and data movement that may indicate credential misuse or insider-related risk.

Compliance Monitoring & Audit Readiness

Continuous evidence collection, automated trails, and dashboards mapped frameworks.

Insider Threat & Credential Abuse Detection

Anomalous access, privilege escalation, and data exfiltration is caught the moment behaviour deviates.

Why us

Sovereign

Designed to keep sensitive security telemetry, threat intelligence, investigation context, and enterprise security data within defined enterprise-controlled environments and deployment boundaries.

Governed

Detection context, decision boundaries, human oversight, traceability, and evidence are embedded into security investigation and response workflows.

Production-Ready

Designed to process enterprise-scale security telemetry across cloud, on-premise, and hybrid environments while integrating with existing security infrastructure.

Unified

Connects SIEM++ with iStreet’s AI-Native SecOps, RBVM, GRACE™, Resiliency Operations Centre, and broader security and resilience capabilities within a connected enterprise architecture.

Works With Your Existing SIEM

SIEM++ connects AI intelligence with your existing SIEM tools, enhancing security capabilities without disrupting established pipelines.

Event Volume to Decision-Ready Intelligence

SIEM++ turns fragmented security telemetry into prioritised, context-rich incidents so analysts spend less time reconstructing events and more time acting on what matters.

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Get in Touch

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    contact@istreetnetwork.com