Why CyberSagacity?

Development velocity has scaled exponentially, but so has security noise. CyberSagacity brings 30 years of empirical, mathematical quantification to software source code—turning chaotic vulnerability alerts into predictable business outcomes.

We are uniquely positioned to offer innovative technology that vastly improves and streamlines application security. Leveraging over 30 years of proprietary data on the mathematical quantification of software behavior, our two flagship tools offer practical solutions to reduce cyber risk and raise productivity.

93%

of all breaches have application defects as their root cause

~50%

of all software is released with severe embedded security vulnerabilities

The Ground Truth for Application Risk in the Age of AI & Accelerated Development

Automate Compliance at the Code Level

Automate adherence to CISA’s Secure-by-Design directives and NIST standards. We go beyond basic compliance checkboxes, mathematically validating human- and AI-generated code, SBOMs, and third-party software lineages to insulate your firm from supply chain liability.

Explore Compliance

Eliminate Up to 95% of False Positives

Drown out the legacy scanner noise. By analyzing source-sink and cause-effect data across 34 unique defect consequence types, we eliminate up to 95% of inaccurate alerts and isolate the exact issues that are genuinely reachable and exploitable.

Cut the Noise

Why Math Wins Where Scanners Fail

Most modern AppSec tools rely on probabilistic models or generic AI to guess what a defect might do—resulting in massive false-positive backlogs. CyberSagacity is built on 700+ curated databases tracking over 10 million real-world software behaviors. We apply strict mathematical rigor to map the exact trajectory, likelihood, and systemic blast radius of an exploit before it ever leaves development.

Traditional Legacy AppSec

The CyberSagacity Engine

Vulnerability Prioritization

Arbitrary, generic severity rankings (High/Med/Low) that ignore context.

Statistical 1:N Ranking mapped to ease-of-exploitation and business threat metrics.

Operational Fatigue

Overwhelming alert volume; >60% inaccurate descriptions and flawed de-duplication.

Automated False-Positive Elimination via strict source-sink and cause-effect mapping.

Risk Translation

Zero integration with business, financial, or ROI analytics.

Empirical Risk Quantification tracking projected financial loss per software defect.

Supply Chain Validation

Static, top-level SBOM checks that miss deep dependencies.

Comprehensive Code & AI-BOM Auditing to ensure compliance with Zero Trust standards.

Reducing risk starts with advancing application security to be more effective and useful. Our products address many of the issues identified by industry participants:

Streamline icon

AST tools produce noisy results at unmanageable levels

Security icon

Developers lack the data to grasp the security implications of defects

Financial icon

No existing AppSec tool determines defect/ application financial loss or ROI projections

Zero Trust icon

No AppSec tool supports Zero Trust by determining the attacks and consequences of defects

Powered by 30 years of R&D, 10M’s curated defects, 700 databases of code/defect behavior statistics