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Move from alert-driven security to
AI-native SecOps that
reasons, prioritises, and acts

Key capabilities Use cases Why us

Threats evolve fast. AI-native SecOps responds faster.

iStreet’s AI-Native SecOps, built within its Sovereign AI Enterprise Platform, unifies threat detection, investigation, response, and vulnerability management into an intelligent security operations environment.

It continuously correlates security signals across users, identities, endpoints, applications, networks, and data to prioritise threats, accelerate investigation, and orchestrate response.

 

This is not traditional SecOps with AI added on. This is security as intelligence,
security designed for the AI era.

Key capabilities

Behavioral and Transaction Intelligence

  • Analyses behavioral and transactional activity together
  • Identifies unusual login, device, access, and transaction patterns
  • Detects anomalies that may indicate account misuse, compromise, or fraudulent activity

Real-Time Risk Scoring

  • Scores transactions and user actions using behavioral and contextual signals
  • Dynamically categorizes risk based on changing activity and enterprise policies
  • Prioritizes high-risk events for investigation and response

Fraud Pattern and Network Intelligence

  • Correlates activity across users, accounts, devices, transactions, and related entities
  • Identifies connected suspicious behavior and coordinated fraud patterns
  • Helps teams understand relationships that may not be visible from individual events

Automated Fraud Operations

  • Initiates alerts, notifications, approval workflows, and investigation processes
  • Routes high-risk events through defined investigation workflows
  • Generates structured case context, reporting, and traceable investigation records

Unified, Extensible SecOps Architecture

  • Connects security telemetry across SIEM, endpoint, identity, network, and threat intelligence systems
  • Integrates AI-driven detection, investigation, response, and vulnerability workflows across existing security tools
  • Extends across legacy and proprietary environments through open APIs, standards, and configurable connectors

Use cases

Real-Time Transaction Fraud Detection

Analyses transaction activity and contextual risk signals as transactions occur, enabling suspicious activity to be identified and assessed before completion where appropriate.

Account and Insider Risk Detection

Identifies behavioral anomalies across logins, devices, access patterns, and user activity that may indicate account compromise, credential misuse, or insider-related risk.

Coordinated Fraud Pattern Detection

Correlates activity across accounts, identities, devices, transactions, and related entities to identify connected suspicious behavior and emerging fraud patterns.

Fraud Investigation and Operations Automation

Prioritizes fraud cases, enriches investigations with contextual evidence, and supports alerts, routing, approvals, documentation, and reporting workflows.

Collaborative Security Operations

Enable faster, more coordinated
response across SecOps teams.

Why us

Sovereign

Designed to keep sensitive transactions, behavioral, fraud, and enterprise risk intelligence within defined enterprise-controlled environments and deployment boundaries.

Governed

Policies, decision boundaries, human oversight, traceability, and evidence are embedded into fraud detection and response workflows.

Production-Ready

Designed to analyze continuous transactional and behavioral signals and integrate with existing applications and enterprise systems.

Unified

Connects fraud intelligence with iStreet’s broader SecOps, observability, and resilience capabilities within a connected security and risk architecture.

AI Native SecOps

Unifies AI-driven behavioral intelligence, contextual risk scoring, and governed intervention into enterprise fraud operations.

Question Mark

Get in Touch

Have a question? We'd love to hear from you. Send us a message and we'll respond as soon as possible.

    contact@istreetnetwork.com