Secure AI-generated code before it reaches production.
AI assistants can generate production-ready software in seconds, but they can also introduce vulnerabilities just as quickly. FurgleAI continuously analyzes AI-generated code, detects security risks, and generates repository-aware remediations before those risks become production incidents.
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GitHub CopilotTraditional security tools review code after it has already been written. FurgleAI analyzes code while it's being generated—identifying vulnerabilities, explaining risks, and recommending secure implementations before insecure patterns become part of your codebase.
Real-Time Detection
Analyze generated code the moment it appears inside your editor. FurgleAI intercepts AI-generated implementations in real time, scanning for injection flaws, insecure authentication patterns, exposed secrets, and risky framework usage before developers commit a single line.
Repository Awareness
Understand frameworks, authentication flows, helper functions, and internal architecture before generating fixes. Unlike file-level scanners, FurgleAI builds a contextual understanding of your entire repository—learning conventions, dependencies, and security policies to deliver findings that actually make sense.
Autonomous Remediation
Generate secure implementations that follow your repository's existing conventions instead of generic examples. Every finding includes a repository-aware fix that matches your codebase's patterns, naming conventions, and architecture—not boilerplate examples copied from documentation.
Why AI-generated code needs a different approach.
Modern AI coding assistants optimize for correctness and speed. Security requires additional context. FurgleAI understands:
Repository architecture. Map every module, service, and dependency relationship to understand how code flows through your application.
Authentication patterns. Learn how your application handles identity, sessions, tokens, and access control across every endpoint.
Validation layers. Understand existing input validation, sanitization, and type-checking patterns to generate consistent fixes.
Existing security policies. Respect your organization's established security standards, approved libraries, and compliance requirements.
Organization coding standards. Generate remediations that match your team's conventions, naming patterns, and architectural decisions.
This allows it to generate fixes that belong in your repository—not just your editor.
Understand.
AI identifies vulnerabilities and explains why they matter.
User-controlled input is directly interpolated into an SQL query without parameterization. An attacker could inject arbitrary SQL to access, modify, or delete database records.
Remediate.
Generate secure, repository-aware fixes with one click.
Learn.
Every scan improves repository understanding for future analyses.
Understanding improves with every scan
Continuous protection across the software lifecycle.
Security shouldn't stop after code generation. FurgleAI continuously analyzes changes across commits, branches, pull requests, and deployments.
It's not an afterthought, it's infrastructure that runs alongside every phase of your development workflow.
Real-time Analysis
Catch vulnerabilities as code is generated.
FurgleAI analyzes every line the moment it appears in your editor. AI-generated authentication logic, database queries, and API endpoints are scanned against known vulnerability patterns before a single commit is made.
Repository Intelligence
Context that understands your architecture.
We build a deep understanding of your repository's structure, conventions, and security policies. This allows every finding and every fix to be tailored to how your team actually builds software.
Pull Request Security
Pre-merge protection for every change.
Before code reaches your main branch, FurgleAI reviews pull requests for newly introduced vulnerabilities, regressions in security posture, and compliance with your organization's established standards.
Continuous Deployment
Security that evolves with your codebase.
From CI/CD pipelines to production monitoring, FurgleAI continuously tracks changes across commits, branches, and deployments to keep repositories protected as they evolve over time.
Built for AI‑generated software.
We don't just scan, we partner with your development workflow to achieve measurable security outcomes.
Our Platform→Real-time Protection
While traditional tools review code after it's written, FurgleAI protects code while it's being generated.
Repository-aware Explanations
No more generic vulnerability alerts. FurgleAI delivers context-aware explanations rooted in your architecture.
One-click AI Remediation
Move beyond manual remediation. Generate secure, repository-aware fixes with a single click.
Continuous Protection
Not just file-level, reactive scanning. FurgleAI provides repository and architecture awareness across the full lifecycle.
Secure what AI builds.
See how FurgleAI helps engineering teams detect vulnerabilities, understand risk, and remediate security issues before production.
Software moves at AI speed. Trust, security, and reliability should too.
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