Everything we know about software generation is changing. The way we secure software generation has to change as well. As software generation shifts from human-written to AI-native code, security must evolve from periodic testing to AI Software Security Assurance.
AI-Assisted (Current) – Copilots & Developers are pilots.
AI-Augmented – Agents handle multi-file changes; Developers are air traffic controllers.
AI-Native – Intent-driven system generation & self-healing code. Developers are designers
Autonomous Ecosystems – Software evolves based on business outcomes
Vulnerability Explosion AI generates thousands of lines of code per hour, flooding pipelines with vulnerabilities.
Unvalidated Findings AI 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.
Capability What it Delivers AI-Native Benefit. Verified Exploitability Filters signal from noise (<3% false positives).
Tests for reachability & exploitability, thus 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.
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…
Achieve compliance (OWASP Top 10, PCI DSS, etc.) quickly with AI-driven testing and deploy the platform in minutes, not weeks.
Get immediate, accurate feedback within the developer's workflow (IDE/PRs) to ensure code is secure before it reaches production.
Automatically fix security vulnerabilities in code with remediation suggestions, eliminating false positives and reducing backlogs.
Automatically discover and test all public and internal APIs, including undocumented "Shadow" endpoints, to ensure full coverage.
Dynamic AppSec platform that secures web applications, APIs, business logic, and LLMs, accelerating vulnerability resolution by up to 10X
Explore native integrations with your CI/CD, IDEs (VS Code, IntelliJ), ticketing (Jira), and source code management (GitHub, GitLab).
