AI Security
Meta Introduces Agents Rule of Two for Enhanced AI Security
Meta AI unveils the 'Agents Rule of Two' to mitigate security risks in AI agents, focusing on reducing vulnerabilities such as prompt injection.
Anthropic Enhances AI Security Through Collaboration with US and UK Institutes
Anthropic partners with US CAISI and UK AISI to strengthen AI safeguards. The collaboration focuses on testing and improving AI security measures, including the development of robust defense mechanisms.
AI Developer Tools Pose New Security Challenges as Attack Surfaces Expand
Explore how AI-enabled developer tools are creating new security risks. Learn about the potential for exploits and how to mitigate them.
NVIDIA AI Red Team Offers Critical Security Insights for LLM Applications
NVIDIA's AI Red Team has identified key vulnerabilities in AI systems, offering practical advice to enhance security in LLM applications, focusing on code execution, access control, and data exfiltration.
Understanding the AI Kill Chain: Securing AI Applications Against Emerging Threats
The AI Kill Chain framework outlines how attackers compromise AI systems and offers strategies to break the chain, enhancing security for AI-powered applications.
AI Exploitation: How Hackers Target Problem-Solving Instincts
Hackers exploit AI's problem-solving instincts, introducing new attack surfaces in multimodal reasoning models. Learn how these vulnerabilities are targeted and potential defenses.
Identifying and Preventing New Phishing Tactics
Explore six sophisticated phishing schemes, such as AI prompt injection and fake job offers, and learn how to protect yourself from these evolving cyber threats.
Semantic Prompt Injections Challenge AI Security Measures
Recent developments in AI highlight vulnerabilities in multimodal models due to semantic prompt injections, urging a shift from input filtering to output-level defenses.
NVIDIA Introduces Model Signing for Enhanced AI Security
NVIDIA's new model signing initiative in the NGC Catalog aims to bolster AI security by providing cryptographic verification, ensuring model integrity and trust across various deployment environments.
NVIDIA Introduces Safety Measures for Agentic AI Systems
NVIDIA has launched a comprehensive safety recipe to enhance the security and compliance of agentic AI systems, addressing risks such as prompt injection and data leakage.