Clarity inside complex security data.
Security teams work across disconnected tools and conflicting severity scores. SentriScope normalizes your stack into one canonical model, ingests through governed connectors, and turns ranked signals into explainable decisions your analysts can trace.
- Ingest Governed connectors Audited, tenant-scoped ingestion from the security stack you already run.
- Normalize Canonical model Assets, findings, and identities unified once, so context compounds with provenance.
- Prioritize Risk decisions Deterministic scoring produces auditable, overridable Risk Decision Objects.
- Investigate Analyst workflow Guided investigation and contextual attack path analysis connect findings.
How data moves through SentriScope: from governed ingestion to explainable analyst decisions.
Two workflows at the center of the platform
Ranked signals only matter if an analyst can act on them. These are the workspaces where prioritized risk becomes a decision.
Guided investigation and contextual attack path analysis
Analysts open investigation sessions against prioritized findings, pivot across canonical assets and identities, and use analyst-driven attack path analysis to explain why an exposure matters in context. This is contextual analysis, not autonomous discovery.
See the investigation workflow- Investigation sessions linked to Risk Decision Objects
- Contextual attack path analysis, analyst-controlled
- Scenario correlation across the canonical model
CTI review and correlation, under analyst control
Enrich indicators through configured providers, review fusion scoring with confidence decay, and correlate threat actors and credential leaks against your canonical identities, with an analyst verdict before findings become incidents.
Explore threat intelligence- IOC enrichment via VirusTotal, AbuseIPDB, AlienVault OTX, and GreyNoise
- Fusion scoring and threat actor correlation
- Credential leak monitoring, tenant-configurable
Deterministic prioritization you can trace end to end
No black box. Every decision records the signals that produced it, so analysts and auditors can follow the reasoning.
- 1 · Normalize One canonical model Assets, vulnerabilities, identities, and findings enter once and share context across sources.
- 2 · Prioritize Multi-signal risk scoring CVSS v3/v4 arbitration, EPSS, CISA KEV, and SSVC triage go beyond raw severity.
- 3 · Investigate Auditable Risk Decision Objects Each decision is explainable, overridable with governance, and recorded for the audit trail.
Capabilities shipped in recent releases
A snapshot of what is generally available today, updated with each platform release.
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CTI EngineMulti-provider IOC enrichment with fusion scoring VirusTotal, AbuseIPDB, AlienVault OTX, and GreyNoise enrichment with threat actor tracking and tenant-configurable credential leak monitoring.
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Vulnerability IntelligenceCVSS arbitration, EPSS, KEV, and SSVC triage Attack path analysis, remediation planning, and DevSecOps/SBOM data integration foundations.
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Identity & NetworkIdentity Intelligence and network command center Investigation sessions, identity risk aggregation, and network visibility, generally available.
Built for tenant isolation, auditability, and bounded AI
Trust comes from architecture, not badges. Here is how SentriScope keeps data separated and decisions accountable.
Tenant isolation
Shared or dedicated database modes with strict data isolation and RBAC boundaries between platform and tenant scope.
Tamper-evident audit chain
Security-relevant actions are recorded in a cryptographic hash-chained audit log for traceability and compliance readiness.
Guardrailed, read-only AI
LLM assistance is schema-grounded, SQL-validated, and read-only: decision support with no autonomous remediation.
See how your signals become decisions
Explore the platform, or talk to our team about consolidating exposure, threat intelligence, and prioritization in one canonical model.