The Measurement Layer for Modern VulnOps

Run VulnOps like DevOps

VulnOps tools find vulnerabilities. VulnOps teams fix them. SCALR™ Sight tells you whether any of it is actually working. Get performance visibility in real time, across every scanner, every manual test, and every AI-generated finding, for every stakeholder who needs to know.

SCALR Sight Capabilities

 

VulnOps Performance Intelligence

MTTD, MTTR, MTTP, SLA adherence, remediation velocity, scan coverage, and re-open rates tracked live across every tool and every owner. Trend-aware, not snapshot-aware.

Mythos-Ready Finding Management

Track findings that don’t have CVEs: manual pentest results, purple team findings, AI-discovered chained attacks, logic flaws, and defense-in-depth issues. Every finding gets an owner, an SLA, and a trend line, CVE or not.

Application Testing Lifecycle Visibility

See how a single application trends across its entire testing history: SAST, DAST, pentest, bug bounty, AI-assisted review. Prove whether security posture is improving over releases, not just which scan happened yesterday.

Cross-Functional VulnOps Reporting

Role-based dashboards for SecOps analysts, app owners, VPs/SVPs, and the CISO. The same data, framed for the audience. Stays in your tenant.

Why SCALR Sight?

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Runs in your tenant at a fraction of the cost of ServiceNow SecOps, Vulcan, or Nucleus

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Live VulnOps KPIs: MTTD, MTTR, MTTP, SLA adherence, and remediation velocity trended over time, sliced by owner

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Proves program ROI to the CFO and board

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Orchestrates with SOAR, ITSM, and ticketing to close the loop

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Automated, role-aware finding routing to VP/SVP owners, app teams, and exec stakeholders

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Your data stays in your tenant with Role Based Access controls. No SaaS data exfiltration, no egress fees

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Scan coverage gap detection. Know what you're NOT scanning

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Ingests Nessus, Qualys, Rapid7, Microsoft Defender, plus manual findings, purple team results, and AI-generated discoveries

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Mythos-ready: designed for the volume and velocity of AI-generated findings

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Application testing lifecycle trending