Security OperationsAI Security
Radiant AI SOC Platform
Agentic AI SOC triaging every alert autonomously with integrated response and log management
Radiant AI SOC Platform Overview
What it does
Radiant AI SOC Platform is an agentic AI security operations center (SOC) platform that autonomously triages, investigates, and responds to security alerts. Its AI SOC Analyst handles both known and unknown alert types across 13+ categories, reusing an investigation plan or generating one from scratch instead of depending on pretrained playbooks. The platform pairs triage with integrated response actions and built-in log management, so SOC teams can scale alert coverage without adding headcount.
How it works
Alerts and logs enter through 124 connectors spanning SIEM, EDR, identity, email, cloud, network, and OT sources, using API connectors, webhooks, syslog, an optional collection agent, or Amazon S3. A data pipeline deduplicates and filters noise before the AI SOC Analyst runs task-based investigations, recording every task, query, and finding for analyst review. The Threat Intelligence Hub enriches artifacts with built-in and customer-supplied feeds. Escalated cases carry AI-recommended response actions, such as disabling users or isolating endpoints, executed from the case view. Log Manager stores security data in customer-owned S3 buckets with configurable retention.
Credentials and traction
SOC 2 Type II certified and GDPR compliant, with EU data residency in the AWS Frankfurt region and no cross-border data processing. Customers include Rehrig Pacific, high-voltage equipment manufacturer Spellman, and managed security service providers (MSSPs) RFA and SPOC, which run multi-tenant triage on the platform. The platform targets enterprise SOC teams and MSSPs replacing tier-1 triage workloads.
Key Capabilities
mapped to solution categoriesPerforms initial triage of incoming alerts automatically, classifying and prioritizing them to cut tier-1 workload before a human touches the queue.
Investigates alerts end-to-end from trigger to verdict and closes them out autonomously, so the full volume of raw alerts gets analyzed without resource-constraint concessions.
Identifies and dismisses false-positive alerts with documented rationale, reducing noise reaching human analysts.
Automatically gathers and attaches context — threat intelligence, asset and identity data — to alerts during triage and investigation.
Generates investigation summaries and incident reports for analysts and leadership from completed investigation activity.
Recommends the next response actions to take based on investigation findings.
Applies ML classification to incoming alerts to filter false positives, group related events, and route high-confidence detections to analysts, reducing L1 analyst workload.
Suggests the next investigative or containment steps for an alert or incident, with the supporting reasoning, so analysts can confirm and act rather than deciding from raw telemetry alone.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on July 25, 2026
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