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Bright Helps Teams Find, Fix, And Verify Vulnerabilities Through Runtime Validation And Automated Remediation.
Reduce Technical Debt. Improve Security Posture. Lower Token Costs.
Book A Demo Book A DemoLower AI Security Costs By Eliminating Unnecessary Validation Cycles And Focusing On Verified Findings.
Achieve Up To 10x Faster Vulnerability Resolution Through Automated Validation And Remediation.
With Less Than 3% False Positives, Developers Spend Less Time Investigating and More Time Building.
Continuously Validate Applications, APIs, And AI-Generated Code To Reduce Real Security Risk.
Resolve Security Backlogs Faster With Up To 98% Automated Remediation And Verified Fixes.
Based On Your Inputs, Bright Can Help Reduce Security Costs, Accelerate Remediation, And Improve Developer Productivity Through Runtime Validation, Automated Remediation, And Continuous Security Testing.
Based On Your Environment And Security Goals, We Recommend:
Vulnerability ExplosionAI generates thousands of lines of code per hour, flooding pipelines with vulnerabilities.
Unvalidated FindingsAI coding solutions and Static scanners do not perform exploitability, or reachability analysis resulting in >60% false positives.
The Token Trap:Chasing false positives wastes developer time and explodes compute and AI token costs.
Unsafe Remediation:Without validation, AI "fixes" don’t actually fix vulns in addition to creating regressions & introducing new flaws.
Capability | What it Delivers | AI-Native Benefit
Verified Exploitability:
Filters signal from noise (<3% false positives).
Tests for reachability & exploitability, preventing AI agents from fixing "noise."
Machine-Readable Signals Structured, proven exploitability data to guide AI agents.
Enables agents to act safely at machine speed.
Continuous Assurance Tests live behavior and exploit paths in real-time. Secures systems that never stop changing.
Validated Remediation Verifies AI-generated fixes before deployment. Eliminates incomplete patches & regressions. Prevents introduction of new vulnerabilities.
AI creates a new feature or service.
STAR finds vulnerabilities and proves exploitability.
AI agents fix issues using contextual guidance from STAR.
STAR validates the fix is effective and safe to deploy.
Policy engines approve deployment based on verifiable evidence.
Regulators will demand proof that AI-generated code is secure.
STAR provides the Validation Evidence and Remediation Proof required for future AI.
Join the world’s leading companies securing the next big cyber frontier with Bright STAR.
Our clients:
In the rapidly-evolving world of software development, ensuring a high level of security is a critical priority for businesses. As hackers and cyber criminals continue to develop more sophisticated
Livcor faced a high-stakes deadline. Their team had one week to onboard a new application security solution, scan a key application still in development, remediate any findings, and push the app into full production. There was no room for delays, and no margin for error.
In the fast-paced financial services industry, delivering secure and feature-rich digital products quickly is paramount. Pacífico Seguros recognized the need to move beyond traditional, time-consuming
Dynamic Application Security Testing has been part of AppSec for a long time. What’s changed is where it has to…
AI-generated code is basically the holy grail of developer tools of this decade. Think back to just over two years…
Most teams didn’t ignore security on purpose. For years, it just made sense to treat it as a final step.…
DORA (Digital Operational Resilience Act) is the latest addition to the EU regulatory arsenal. A framework designed to bolster the…
Fewer Security Iterations
Lower AI Processing Costs
Reduced Operational Overhead