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3 tech advancements to be nervous about Fast Company, March 17, 2025 One of the top three tech advancements to be nervous about today is the fact that jailbreaking robots is becoming increasingly possible. This practice involves manipulating AI-driven robots to bypass their built-in safety systems, often by exploiting vulnerabilities ...

Apple may have delayed the Siri upgrade for fear of jailbreaks GSMArena, March 10, 2025 Apple’s decision to delay its planned AI enhancements for Siri highlights the growing security concerns surrounding artificial intelligence, particularly the risk of “jailbreaking” through prompt injections. These attacks involve manipulating AI models into performing unintended ...

Researchers Jailbreak 17 Popular LLM Models to Reveal Sensitive Data GBHackers, March 7, 2025 Researchers from Palo Alto Networks’ Threat Research Center have discovered that 17 popular generative AI (GenAI) applications are vulnerable to jailbreaking techniques, allowing users to bypass safety protocols. By using both single-turn and multi-turn strategies, attackers ...

MITRE Releases OCCULT Framework to Address AI Security Challenges GBHackers, February 26, 2025 MITRE has launched the Offensive Cyber Capability Unified LLM Testing (OCCULT) framework, a structured approach designed to assess the potential security risks of large language models (LLMs) in cyberattacks. This initiative focuses on evaluating AI systems’ ability ...

Agentic AI – Threats and Mitigations OWASP, February 17, 2025 Agentic AI, driven by large language models (LLMs) and generative AI, is advancing rapidly, offering new capabilities while introducing significant security risks. These autonomous systems can plan, adapt, and interact with external environments, making them powerful but also susceptible to ...

Announcing the Databricks AI Security Framework 2.0 DataBricks, February 12, 2025 Databricks has unveiled the second edition of its AI Security Framework (DASF 2.0), a comprehensive guide designed to address the growing risks associated with AI deployments. The framework identifies 62 technical AI risks and introduces 64 mitigation controls, offering ...