Autonomous Security for AI-Driven Development
As software development shifts toward AI-generated code, traditional security approaches fall behind. Bright STAR introduces a new model - continuous, autonomous security that validates real vulnerabilities in running applications. Instead of relying on assumptions or static analysis, STAR executes real attack paths, verifies exploitability, and ensures fixes are effective. This enables security teams and developers to move faster while maintaining confidence in every release.
Built for AI-Driven Development Workflows
COMPREHENSIVE VISIBILITY FOR YOUR ENTIRE APPLICATION ECOSYSTEM
In modern, complex applications, visibility is everything. Bright STAR’s AI-Driven Code & Entrypoint Discovery automatically maps your codebase. Uncovering overlooked functions, undocumented APIs, and risky dependencies. By scanning human-written and AI-generated code, STAR gives you a comprehensive view of your attack surface – a must-have for risk reduction measures and compliance standards such as SOC 2 and ISO 27001.
What it is:
Bright STAR automatically scans your repositories to identify every code component, function, and dependency.Its intelligent discovery process detects hidden or shadow APIs that traditional scanners often miss, giving AppSec teams a real-time, accurate view of the full application landscape.
How it Works:
STAR’s AI engine deeply analyzes your source code – understanding structures, data flows, and interdependencies.It doesn’t just find declared APIs; it uncovers internal and hidden endpoints that might be exposed unintentionally.This deep contextual insight lets STAR build a living map of your application, leaving no stone unturned.
Key Benefits:
Comprehensive Visibility:
Eliminate blind spots by discovering all code components and entry points across your SDLC. Essential for compliance with SOC 2 (CC7.1, CC7.2) and ISO/IEC 27001 (A.8.8)
Shadow API Detection:
Identify and secure undocumented or forgotten APIs – a common cause of critical vulnerabilities. Ensures OWASP API Top 10 coverage.
Enhanced Code Understanding:
Give your developers and AppSec teams an accurate, real-time map of the codebase – making issue diagnosis and remediation faster.
Improved Attack Surface Management:
Gain a clear, ongoing understanding of exposure. Enable smarter security prioritization and reduce overall risk.
Use Cases:
Large Microservice Architectures:
Bring clarity to distributed environments where manual mapping is impossible. STAR ensures all services and APIs are accounted for.
Legacy Systems:
Reveal hidden functions and forgotten endpoints in older or poorly documented codebases – reducing technical debt and legacy risk.
Rapid Development Environments:
Keep pace with fast-evolving apps by automatically updating your application map as code changes – including AI-generated ones.
API Security Programs:
Build a strong foundation for API security. STAR provides visibility into known and unknown APIs, ensuring full vulnerability coverage.
Pinpoint Vulnerabilities with Unmatched Accuracy and Broad Coverage
Traditional security testing often floods teams with alerts, leaving developers buried in noise and false positives. The new Function-Level Dynamic Vulnerability Detection in Bright STAR changes that – identifying real, exploitable issues as your app runs. It’s not just about finding vulnerabilities. It’s about finding the right ones, faster, and with full context.
What it is:
Bright STAR uses advanced AI-based dynamic analysis to detect vulnerabilities in real time. It observes live code execution to uncover flaws at the exact function or API endpoint, ensuring that every finding is both real and reproducible – not another false alarm.
How it Works:
Our dynamic analysis engine continuously interacts with your running application, simulating real-world attacks. At the same time, STAR’s AI correlates runtime behavior with code structure to pinpoint the precise line of code or function responsible for the issue. This dual analysis drastically reduces false positives and speeds up diagnosis, allowing teams to remediate before risks reach production.
Key Benefits:
High Accuracy
Cut through the noise – reduce false positives and focus only on validated vulnerabilities.
Deep Vulnerability Context
See exactly which function or endpoint is affected, with clear guidance for faster fixes.
Faster Diagnosis
Spend less time investigating, more time resolving, with detailed, actionable insights.
Comprehensive Coverage
Detects everything from business logic flaws to runtime errors missed by static tools. Covers OWASP Web Top 10, API Top 10, and LLM Top 10 risks.
Use Cases:
API Security
Identify vulnerabilities in specific API endpoints and secure shadow APIs before attackers do.
Microservices Security
Protect distributed systems by detecting inter-service communication vulnerabilities.
Complex Web Applications
Uncover real-time flaws in dynamic, user-driven web environments.
DevSecOps Environments
Integrate seamlessly into CI/CD pipelines for shift-left testing with real, validated results.
Automated, Verified Security: Beyond Detection to Resolution
Most security tools stop at detection. Bright STAR doesn’t. The AI-Powered Remediation & Validation Loop automatically generates secure code fixes, tests them, and verifies they actually work – all before release. This intelligent, closed-loop system transforms remediation from guesswork into guaranteed action, cutting fix time from weeks to minutes. It makes security an integrated part of your CI/CD pipeline, not an afterthought.
What it is:
Bright STAR’s AI engine automatically proposes and validates fixes for detected vulnerabilities. It iterates on each remediation until the issue is proven resolved through attack simulation – not assumption. By continuously testing both human-written and AI-generated code, STAR ensures that every patch you ship is secure, verified, and production-ready.
How it Works:
When STAR detects a vulnerability, it:
- Analyzes the code and context of the flaw.
- Generates one or more AI-driven fix proposals.
- Tests them in a secure sandbox.
- Refines and revalidates until closure is confirmed.
This iterative validation cycle ensures each fix is truly effective – drastically reducing false closures and reoccurring bugs.
Key Benefits:
Real-Time Fixes
Accelerate remediation with automated fix generation and validation – cutting weeks of manual effort into minutes.
Reduced Manual Effort
Free developers from repetitive patching. 98% of vulnerabilities are auto-remediated during testing.
Guaranteed Remediation
Every fix is proven through repeated AI validation loops before it reaches production.
Accelerated Development
Integrate security into your CI/CD flow without slowing delivery. Supports compliance for ISO/IEC 27001 (A.14.2) and secure SDLC standards.
Use Cases:
Continuous Integration / Continuous Delivery (CI/CD)
Automate vulnerability fixes directly within your pipeline. Supports SOC 2 (CC7.1, CC7.2) compliance for continuous detection and remediation.
Rapid Patch Deployment
Address critical vulnerabilities instantly with validated AI fixes – turning weeks-long remediation into minutes
Proactive Security
Fix vulnerabilities as they appear, preventing accumulation of security debt.
Reducing Security Backlog
Systematically eliminate legacy vulnerabilities through auto-remediation, leveraging 10,000+ validated security unit tests.
Streamlined Security – Verified Fixes Inside Every PR
Integrating security shouldn’t slow development. Bright STAR’s Pull Request Automation embeds verified fixes directly into your existing Git workflows, removing friction between AppSec and engineering teams. This turns every pull request into a secure delivery point – so developers can merge confidently without leaving their environment.
What it is:
Bright STAR automatically creates or updates pull requests populated with verified, AI-generated fixes, detailed vulnerability explanations, and relevant code references. Developers can quickly review, understand, and approve changes without leaving their normal Git flow. It’s security that fits how developers already work – not something they need to work around.
How it Works:
After Bright STAR’s AI-Powered Remediation & Validation Loop confirms a fix is effective, it automatically creates a new PR (or updates an existing one) in your chosen version control system – GitHub or GitLab.
Each PR includes:
- The proposed code changes.
- Contextual vulnerability details and risk impact.
- References to security standards and validation proof.
This automation ensures that verified fixes reach developers faster, cutting remediation time from weeks to minutes.
Key Benefits:
Developer-Friendly
Integrates directly into Git workflows – no new tools, no context switching. Security merges naturally into development.
Seamless Workflow Integration
Automates fix delivery as part of the CI/CD process, making security continuous and invisible.
Clear Communication
Delivers full context and clarity – from fixed explanation to references – to ensure smoother collaboration.
Faster Adoption of Fixes
Reduces fix approval time by 80%+, accelerating secure code delivery.
Use Cases:
DevOps Environments
Ideal for teams practicing continuous integration and delivery. Keeps pace with rapid releases through full-cycle automation.
Agile Development
Supports quick feedback loops and iterative security testing. Aligns with ISO/IEC 27001 (A.14.2) secure SDLC requirements.
Distributed Teams
Ensures consistent remediation practices across global teams, reducing delays and human dependency.
Open-Source Projects
Automates contribution of verified secure code fixes to maintain strong project hygiene and standards.
Stop testing.
Start Assuring.
Join the world’s leading companies securing the next big cyber frontier with Bright STAR.
Our clients:
