About This Agent
AI Investigator is an advanced AI-driven security operations platform that enables security analysts to converse with their security data in plain English, dramatically accelerating threat detection and response. The core architecture integrates natural language processing with automated query generation, allowing users to ask complex investigative questions without writing SQL or Sigma rules. It unifies hybrid data investigation across endpoints, network, identity, and cloud workloads, leveraging an Open XDR framework that ingests telemetry from diverse sources. The platform automates triage and threat hunting workflows, prioritizing alerts based on risk and context, and guides analysts through AI-powered investigation flows that reduce manual steps. This eliminates the friction of piecing together evidence across siloed tools, the latency of manual query crafting, and the expertise barrier for junior analysts. Use cases span security operations centers (SOCs) in financial services, healthcare, and technology, as well as managed security service providers (MSSPs) handling multi-tenant environments. It also supports compliance auditing by rapidly correlating user activities and network anomalies. Organizations can achieve up to 80% faster mean time to detect (MTTD) and 60% reduction in investigation time, enabling lean teams to handle higher alert volumes with greater accuracy.
Agent Capabilities
- Natural Language Threat Hunting: Query security data using conversational English, no query language required.
- Automated Query Generation: Converts natural language into optimized search queries across SIEM, NDR, and ITDR data.
- AI-powered Investigation Flows: Guided, step-by-step investigation paths that adapt based on findings and threat context.
- Hybrid Data Investigation: Correlates and analyzes data from on-premises, cloud, and hybrid environments in a unified view.
- Open XDR Platform: Integrates with existing security tools and data lakes via open APIs and standards.
- AI-driven SIEM: Enhances traditional SIEM with AI-based anomaly detection and pattern recognition.
- Network Detection & Response (NDR): Monitors network traffic for malicious activities and automates response actions.
- Identity Threat Detection & Response (ITDR): Detects identity-based attacks, such as privilege escalation and lateral movement.
- Automatic Triage: Prioritizes alerts based on severity, asset criticality, and threat intelligence.
- Automated Threat Hunting: Proactively searches for indicators of compromise and suspicious behaviors without manual effort.
Primary Workflows & Use Cases
- Security operations center (SOC) analysts rapidly investigate phishing incidents across email and endpoint logs.
- Financial services compliance teams audit user access and transaction anomalies to meet regulatory requirements.
- Healthcare organizations detect and respond to insider threats involving patient record access.
- MSSPs manage multi-tenant threat hunting and triage for multiple clients from a single platform.
- Incident responders reconstruct attack timelines across network, identity, and cloud workloads.
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