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Top 4 LLM threats to the enterprise CSO Online, January 22, 2024 The intersection of natural language prompts and training sources poses unique threats, including prompt injection, prompt extraction, phishing schemes, and the poisoning of models. Traditional security tools find it challenging to keep pace with these dynamic risks, necessitating ...

A CISO’s perspective on how to understand and address AI risk SCMedia, January 16, 2024 The adoption of AI in enterprises introduces significant risks that span technical, reputational, regulatory, and operational dimensions. From supply chain vulnerabilities to the potential theft of sensitive data, the stakes are high, demanding a proactive ...

Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations NIST, January, 2024 In its comprehensive report on Trustworthy and Responsible Artificial Intelligence, the National Institute of Standards and Technology (NIST) presents a detailed classification and vocabulary for understanding adversarial machine learning (AML). This report, centered around the security ...

Data poisoning: how artists are sabotaging AI to take revenge on image generators The Conversation, December 17, 2023 Consider this scenario: You’re preparing a presentation and require an image of a balloon. Opting for a text-to-image generator like Midjourney or DALL-E, you input “red balloon against a blue sky.” Unexpectedly, ...

CSA Official Press Release CSA, December 12, 2023 The recent unveiling of the AI Safety Initiative by the Cloud Security Alliance (CSA) marks a pivotal moment in the journey towards ensuring the security and ethical deployment of artificial intelligence. This initiative, in collaboration with tech giants such as Amazon, Anthropic, ...