What is Agentic Security?

Are you developing with Large Language Models (LLMs)? You know they're incredibly powerful, but also potentially vulnerable. Agentic Security is your open-source ally in navigating this complex landscape. It's a vulnerability scanner designed specifically forLLMs, built to help you proactively identify and address potential security weaknesses beforethey become problems. It's like having a security expert constantly reviewing your LLM integrations, giving you peace of mind.

Key Features:

🧪 Comprehensive Fuzzing for Any LLMs:Subject your LLM systems to rigorous testing to simulate real-world attack scenarios. Benefit: Uncover hidden vulnerabilities you wouldn't find with traditional security tools.
🛠️ Create Customizable Rule Sets or Agent-based Attacks:Tailor the scanning process to your specific needs and threat models. Benefit: Focus your testing efforts on the areas that matter most to your application.
🛠️ Integrate with LLM APIs and perform Stress Testing:Seamlessly integrate Agentic Security into your existing workflows. Conduct stress testing and push your LLM models to their limit to find breaking points. Benefit: Ensures continuous monitoring and enables performance improvements.
🌀 Wide range of fuzzing and attack techniques: Employ a diverse toolkit of fuzzing and attack methods. Benefit: Get broad coverage against various threats.

Use Cases:

Pre-Deployment Testing:Imagine you're about to launch a new chatbot powered by an LLM. Before going live, you use Agentic Security to bombard it with a wide range of inputs, including intentionally malicious prompts and edge cases. You discover that certain types of questions trigger unexpected and potentially harmful responses. You fix the issue beforeany real users encounter it.
Continuous Monitoring:You've already deployed your LLM-powered application. Agentic Security runs in the background, regularly probing your system with new test cases and variations. It flags a potential vulnerability introduced by a recent model update. You're alerted immediately, allowing you to address the issue proactively.
Data Transformation Experimentation:You are training a new model. Using Agentic Security's probe_datamodule, you can use functions like rot13, base64_encodeand mirror_wordsfrom the stenography_fn.pyfile. With these transformation on your prompts, you can find that your model is vulnerable to basic text transformations.

Conclusion:

Agentic Security isn't just another security tool; it's a specialized solution built for the unique challenges of the LLM era. It puts the power of proactive security in yourhands, offering a flexible, customizable, and open-source approach to safeguarding your LLM-powered applications. It's a smart move to incorporate it early and often in your development lifecycle.

More information on Agentic Security

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Agentic Security was manually vetted by our editorial team and was first featured on 2025-02-10.