Now enrolling: Autonomous SOC in Action #2025
Now enrolling: Autonomous SOC in Action #2025
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Automated, explainable triage that cuts through alert noise, prioritizes what matters, and routes incidents to the right responders with audit-ready context
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What you will Achieve
Agent-to-agent orchestration, human-in-the-loop approvals, risk scoring, and replayable traces — showing how noisy signals are transformed into safe, verifiable, and prioritized actions
Automatically deduplicate, suppress false positives, and cluster related alerts to reduce analyst fatigue and surface the true incident picture
Apply context-aware scoring (asset value, threat type, exposure) to highlight the riskiest incidents first, ensuring faster Mean Time to Detection (MTTD)
Automatically pull threat intel, asset data, and user behavior patterns so downstream analysts or agents start with ready-to-use evidence
Dispatch incidents to the right queue (investigation, remediation, compliance) with traceable reasoning and human-in-the-loop controls for sensitive cases
Capability
AI-powered triage that reduces noise, prioritizes real risks, enriches alerts, and ensures every handoff is evidence-backed
Convert technical logs into human-readable incident stories — including timeline, evidence snapshots, and recommended actions
Rank alerts by severity, business impact, and likelihood of exploitation with transparent rationale
Augment each alert with identity data, threat intel, and system metadata so analysts don’t waste time on manual lookups
Direct tickets to the right team or agent, with human-approval gates for high-severity or compliance-sensitive cases
Maintain append-only logs and replayable traces for every triage decision to support compliance and forensic analysis
Context Intelligence, Adaptive Intelligence, Composable Agents, Protocol (MCP + A2A), Human-in-the-Loop, and Observability — showing how raw alerts turn into prioritized, safe actions
Deploy Triage AI Agent in the environment you choose
Scales seamlessly with your alert volume
Flexible integrations ensure triage workflows evolve with new threats and tools
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Industry Impact
Context Intelligence, Adaptive Intelligence, Composable Agents, Protocol (MCP + A2A), Human-in-the-Loop, and Observability—showing how decisions turn into safe actions
Reduce SOC fatigue and meet AML/KYC compliance by triaging fraud alerts.
Automate prioritization of high-risk transactions, ensuring timely investigations and regulatory adherence.
Prioritize privacy-impacting alerts across user devices and apps.
Detect and respond to data leakage risks quickly, protecting customer trust and brand reputation.
Scale triage across multi-tenant cloud and SaaS environments.
Streamline detection across complex infrastructures, improving response speed and coverage consistency.
Ensure timely, auditable incident response in managed SOC environments.
Provide clients with repeatable, documented processes to meet SLAs and compliance requirements.
Filter IT/OT alerts to protect production uptime
Prioritize critical operational threats, reducing downtime risk and safeguarding industrial workflows
Streamline triage, reduce false positives, and strengthen playbooks.
Continuously refine detection rules, improve analyst efficiency, and enforce consistent response practices
Featured Use Cases
Powered by SignalCore, ContextFlow, ThreatEnrich, AutoRoute, and governed by PolicySentinel guardrails with OpsOrchestrator handling handoffs and approvals
Cluster 10,000+ daily alerts into prioritized, actionable tickets
Append attacker TTPs, asset criticality, and compliance tags to each incident
Route enriched alerts directly into SOAR/ITSM workflows, ensuring seamless escalation, faster incident resolution, and consistent analyst handoffs
Generate replayable triage traces for internal and regulatory audits, providing verifiable evidence, demonstrating compliance, and streamlining review processes
From triage to compliance, MetaSecure AI delivers intelligent automation that lowers cost, increases speed, and strengthens security posture
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