Turn Application Security Noise Into Defensible Business Decisions
Give leadership clear visibility into application security risk
Context-Driven AppSec Risk Intelligence
CyberSagacity helps management, security and engineering teams convert fragmented AppSec findings into validated, context-driven, decision-grade intelligence—so they can reduce real risk faster, improve remediation efficiency, and give leadership clear visibility into application security risk.
5×–100×
productivity gains
75%–99%
risk reduction
3×–10×
positive ROI from AppSec investments
Months
of uncertainty reduced to minutes—or seconds
The Problem
AppSec Is Broken: Organizations Do Not Have a Tooling Problem. They Have a Data Problem.
Modern AppSec programs run multiple tools across SAST, DAST, SCA, IAST, API security, and penetration testing. The result is not clarity. It is noise.
Teams are left sorting through duplicated findings, severity mismatches, blind spots, false positives, and conflicting outputs across tools. Critical vulnerabilities are often buried. Low-value findings consume time. Leadership gets dashboards—but not defensible answers.
Millions of findings with limited prioritization clarity
High false-positive burden and large remediation backlogs
Misclassified severity masking real exposure
Incomplete coverage across tools and environments
Limited confidence in what to fix first
Security tools detect defects. They rarely validate them.
The CyberSagacity Difference
The Application Security Intelligence Layer
CyberSagacity sits beneath the AppSec stack as an intelligence layer that validates, normalizes, and prioritizes defect telemetry before it is consumed downstream.
Instead of forcing teams to trust raw scanner output, CyberSagacity helps organizations:
Identify true exposure hidden in scan noise
Reduce false positives and misclassification
Improve coverage visibility across tools
Prioritize remediation by exploitability, business impact, and likelihood
Give leadership defensible, decision-grade risk visibility
Where application security data becomes defensible.
Use Cases
Business Services Platform
From 2 million Findings to 134 Critical Risks
Situation
No internal AppSec capability and outsourced development lacked visibility into software risk.
Outcomes
- Initial scans produced 2M defects (250K “severe”) with <1% overlap between tools.
- SATriage analysis revealed only 134 truly severe defects, all mislabeled as “minor” and buried in scan noise.
- Delivered 100x productivity improvement and reduced risk >95%.
- All 134 mission-critical defects fixed within one day using SATriage’s prioritized guidance.
CyberSagacity Impact
Delivered immediate clarity by:
Identifying true exposure buried in scan noise
Enabling precise, prioritized remediation
Providing real-time visibility into outsourced code quality
Less than 0.01% of findings actually mattered.
Global Online Retailer
From Tool Noise to Measurable Risk Reduction
Situation
Hundreds of thousands of findings across multiple tools with limited prioritization clarity and low operational usability.
Security efforts were difficult to operationalize, and risk visibility was low.
Outcomes
- 30× increase in remediation productivity
- 10× acceleration in risk reduction
- 80% of “severe” defects misclassified
- Identified critical availability risks (DDoS exposure) previously obscured
CyberSagacity Impact
Transformed fragmented data into validated remediation paths
Enabled focus on true exposure—not scanner noise
Delivered developer-ready guidance aligned to business risk
Most “severe” findings were wrong—and the most critical risks were hidden.
Regional Bank
From Months of Uncertainty to Immediate Risk Clarity
Situation
“Are we still exposed to the same attack vector?”
An internal task force spent 6+ months with multiple FTEs attempting to identify re-exposure pathways—without reaching a definitive conclusion. The bank then engaged its AST vendor. After an additional 3 months of analysis, no complete or defensible view of residual risk emerged. Despite significant time and investment, leadership lacked clear answers, prioritization, and confidence in remediation decisions.
Outcomes
- Identified re-exposure pathways in seconds
- Reduced time-to-risk-clarity from months to minutes
- Delivered a prioritized, likelihood-based remediation plan for leadership and regulators
CyberSagacity Impact
Pinpointed where the breach could reoccur
Enabled defensible, regulator-ready decision-making
Eliminated uncertainty from incomplete telemetry
The greatest post-breach risk is not exposure—it is uncertainty.
Investment Bank M&A Advisory
Quantifying Software Risk in M&A Decisions
Situation
Lacked a structured approach to quantify application security risk during acquisition due diligence.
Outcomes
- Introduced financial risk modeling of software exposure
- Enabled risk-informed valuation and acquisition decisions
- Identified potential compliance and liability risks
CyberSagacity Impact
Translated technical findings into financial risk metrics
Enabled decision-making aligned to investment outcomes
Application security risk is critical and often unaccounted for in enterprise valuation.
Schedule a 1-on-1 Meeting at the Event
Want a deeper dive into your specific AppSec challenges? Pre-book a meeting with our leadership team during the summit.