According to Meta, this is “the first set of industry-wide evaluations for large language models (LLMs) on cyber security safety.”
On December 7, Meta published a set of tools for benchmarking and protecting generative AI models.
The “Purple Llama” toolkit is intended to assist developers in creating secure and safe applications using generative AI tools, like Meta’s Llama-2 model, which is available as an open-source model.
AI purple teaming
In a blog post, Meta explains that the “Purple” in “Purple Llama” is a mix of “red teaming” and “blue teaming.”
The concept of “red teaming” refers to the intentional assault of an AI model by developers or internal testers to see if they can cause mistakes, malfunctions, or undesirable outputs and interactions. This makes it possible for developers to design defenses against harmful attacks and to prevent security and safety faults.
Blue teaming, on the other hand, is nearly the inverse. In this scenario, developers or testers respond to red teaming attacks to determine the mitigating strategies required to combat actual threats in production, consumer, or client-facing models.
According to Meta:
“We believe that in order to truly mitigate the challenges posed by generative AI, we must adopt both an offensive (red team) and defensive (blue team) posture.” Purple teaming, which combines the responsibilities of the red and blue teams, is a collaborative approach to evaluating and mitigating potential risks.”
Safeguarding models
“The first industry-wide set of cyber security safety evaluations for Large Language Models (LLMs)” is what Meta refers to as the release, which contains the following:
- Ways to measure the cybersecurity risk associated with LLM
- Instruments to assess how often suggestions for insecure code occur
- Tools for assessing LLMs that make it more difficult to produce malicious code or support cyberattacks.
In order to minimize undesirable outputs and unsafe code while also restricting the utility of model exploits for malevolent actors and cybercriminals, the main idea is to incorporate the system into model pipelines.
“Our goal with this first release is to offer resources to mitigate the risks mentioned in the White House commitments,” the Meta AI team writes.
Conclusion
Meta’s release of Purple Llama demonstrates the company’s commitment to responsible AI development and its responsiveness to the White House’s AI Bill of Rights. The suite offers valuable tools for evaluating and mitigating LLM security risks, paving the way for safer and more trustworthy AI systems in the future.
