What is Hybrid-AI?

AI Code Fixes
You Can Trust

Combining GenAI and proprietary research to deliver deterministic fixes that are free of hallucinations.

A Trusted Path to Automatic Code Remediation

Mobb’s fixes are produced by security researchers following best practices; we leverage AI for precise, time-consuming tasks, resulting in trustworthy, scalable fixes.

The Risks of AI in Code Remediation

See why Generative AI isn’t a silver bullet for code fixes — and learn what is!
Hybrid-AI Features
Core Features that Fuel Automation & Accuracy
Improving AI Accuracy with Proprietary data
We equip our AI model with proprietary data, allowing it to engage in a conversation with the engine. This approach helps AI reach a consensus that combines LLM capabilities with context and security research.
Avoiding AI Hallucinations
Instead of applying LLM-suggested fixes outright, we analyze the code first. If additional context is needed, we request the LLM to validate and expand on the required context, enabling us to ensure the proposed solution is viable before proceeding.
Your Data is Secure with Us
User data is never shared, used for training, or retained beyond specific portions which are flagged for vulnerabilities. All data is temporarily cached and stays securely within our environment.
Hybrid-AI Resources
Dive Deeper into AI‑driven Security Remediation
Whitepapers
Hybrid-AI
RAG Framework
Data Privacy
Automatic Code Remediation
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AI fixes you can trust for code vulnerabilities
September 1, 2024
6
Min
Read
Infographics
Hybrid-AI
ChatGPT
AI Limitations
AI Research
Developer
+0
ChatGPT in Vulnerability Remediation: A Comparative Assessment
March 1, 2024
2
Min
Read
Demo
Developer
GitHub
Hybrid-AI
AppSec
CISO
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Automatically fix code vulnerabilities within GitHub in seconds with Mobb
January 22, 2024
5
Min
Watch
Blog
ChatGPT
AppSec
CISO
Developer
Hybrid-AI
+0
ChatGPT in Vulnerability Remediation: A Comparative Analysis
August 20, 2024
10
Min
Read

 Eliminate Your SAST Findings with Fixes You Can Trust

 Don’t just find your vulnerabilities — fix them.