Now enrolling: Autonomous SOC in Action #2025
Now enrolling: Autonomous SOC in Action #2025
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Builds dynamic incident timelines, connects artifacts across systems, and uncovers root causes with audit-ready evidence
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What you will Achieve
Agent-to-agent orchestration, human-in-the-loop reviews, and replayable traces — showing how scattered data becomes actionable, verifiable investigations
Stitch together activities from logs, alerts, user sessions, and threat intel into coherent, replayable narratives
Connect system logs, endpoint signals, and behavioral data to expose hidden relationships between events
Apply AI-driven analysis to highlight misconfigurations, leaked credentials, or exploited vulnerabilities as the true origin of incidents
Hand off findings to Case Management, Remediation, or Compliance Agents — or escalate via human-in-the-loop checkpoints
Capability
AI-powered investigation that reduces noise, accelerates RCA (Root Cause Analysis), and generates verifiable, audit-ready incident stories
Maintain continuity across investigations with historical context and replay capabilities
Correlate artifacts across logs, user behavior, and threat intelligence to identify hidden links
Highlight root causes with evidence — misconfigs, vulnerable code, or credential leaks
Package findings into timelines, evidence snapshots, and RCA summaries
Seamlessly hand off enriched investigation results to Remediation or Compliance Agents
Context Intelligence, Adaptive Intelligence, Composable Agents, Protocol (MCP + A2A), Human-in-the-Loop, and Observability — showing how raw alerts and scattered telemetry transform into verified root cause investigations
Deploy Investigation Agent flexibly across SOC, IT, or OT environments
Scales with investigation volume and complexity
Works with evolving data sources, compliance mandates, and agentic ecosystems
Industry Impact
Context Intelligence, Adaptive Intelligence, Composable Agents, Protocol (MCP + A2A), Human-in-the-Loop, and Observability—showing how decisions turn into safe actions
Trace fraud incidents back to source accounts and vulnerabilities, reducing financial risk and investigation complexity.
Correlate alerts with AML/KYC data to reveal hidden fraud patterns and strengthen compliance posture.
Correlate device events to uncover insider misuse or compromised apps that put user data at risk.
Map anomalies across devices, accounts, and apps to surface privacy-impacting behaviors quickly.
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Investigate multi-cloud incidents across logs, APIs, and SaaS platforms for full attack-path visibility.
Unify disparate telemetry sources to reconstruct attacks and prevent repeat misconfigurations.
Deliver client-facing RCA reports and actionable remediation recommendations for rapid resolution.
Automate evidence packaging and narrative building to demonstrate security maturity during audits.
Investigate IT/OT anomalies impacting production safety and uptime.
Correlate operational and cyber signals to identify root causes before downtime cascades.
Enable SOC teams to find root causes faster and cut MTTR with enriched insights.
Provide step-by-step replayable incident traces to validate fixes and prove closure.
Featured Use Cases
Powered by TraceIntel, ArtifactLinker, RCAEngine, and EvidencePackager, with PolicySentinel guardrails and OpsOrchestrator ensuring safe investigations
Build replayable narratives from raw log data
Link identity events, endpoint logs, and cloud telemetry
Surface misconfigurations and vulnerabilities behind incidents
Connect gaps in detections to specific code, policies, or infrastructure flaws, enabling rapid, targeted remediation and long-term resilience
Deliver findings with evidence snapshots and replay scripts
Provide structured, compliance-aligned reports with timeline context, enriched artifacts, and replayable proof to streamline audit readiness and trust
From triage to compliance, MetaSecure AI delivers intelligent automation that lowers cost, increases speed, and strengthens security posture
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