Additionally, LLM Guard is expected to extend Protect AI Radar’s protection capabilities that can be built with a machine learning bill of materials (MLBOM) for detecting and mitigating security threats in the AI supply chain, according to Dehghanpisheh. Protect AI’s Radar is an AI risk detection and mitigation offering.
“There’s a clear need in the market for a solution that can secure LLM use cases from start to finish, including when they scale into production. By joining forces with Protect AI, we are extending Protect AI’s products with LLM security capabilities to deliver the industry’s most comprehensive end-to-end AI Security platform,” Laiyer AI co-founders Neal Swaelens and Oleksandr Yaremchuk said in a press statement.
LLM Guard to undergo gradual changes
Protect AI has assured that it will not enforce any changes in user interaction on LLM Guard, which is presently available as an open source offering and sees 2.5 million monthly downloads on HuggingFace.
“We remain committed to open source and permissive use licensing to support customers on their journey to implementing MLSecOps and securing their AI/ML deployments,” Dehghanpisheh said.
However, the company plans to scale the tool up with new features and offer a separate version on subscription at a later time.
“There will be a commercial version of Laiyer AI’s open source LLM Guard product which will offer expanded features, capabilities, and integrations as part of the Protect AI platform,” Dehghanpisheh added. “We have received extremely positive feedback from our customers and build partners who have seen these new capabilities. We will be announcing them publicly in the future.” GenAI platforms built on LLMs have been fueling a significant rise in cyberattacks and security risks, leading to existing cybersecurity providers as well as new startups rolling out specialized offerings to address these risks.