DeepKeep Launches GenAI Risk Assessment Module

DeepKeep, the leading provider of AI-Native Trust, Risk, and Security Management, announces the product launch of its GenAI Risk Assessment module. Designed to secure GenAI’s LLM and computer vision models, the module specifically focuses on penetration testing, identifying potential vulnerabilities and threats to model security, trustworthiness and privacy.

DeepKeep's Risk Assessment module offers a comprehensive ecosystem approach by considering risks associated with model deployment, and identifying application weak spots, ensuring high standards of accuracy, integrity, fairness, and efficiency.

Core features include:

• Penetration Testing
• Identifying the model’s tendency to hallucinate
• Identifying the model’s propensity to leak private data
• Assessing toxic, offensive, harmful, unfair, unethical, or discriminatory language
• Assessing biases and fairness
• Weak spot analysis

“The market must be able to trust its GenAI models, as more and more enterprises incorporate GenAI into daily business processes," says Rony Ohayon, DeepKeep’s CEO and Founder. "Evaluating model resilience is paramount, particularly during its inference phase, in order to provide insights into the model's ability to handle various scenarios effectively."

DeepKeep’s GenAI Risk Assessment module secures AI alongside its AI Firewall, enabling live protection against attacks on AI applications, leveraging DeepKeep’s proprietary technology and cutting-edge research.