Adversa AI, the pioneering platform for continuous AI Red Teaming for all AI assets — from AI Model and GenAI applications to AI Agents and agentic communications — today announced that it has won the Hot Company in GenAI Application Security award from Cyber Defense Magazine at the publication’s 13th ...
Artificial Intelligence has entered a new phase. No longer limited to generating text or analyzing data, AI systems can now take initiative. Meet Agentic AI—autonomous systems capable of making decisions, interacting with APIs, browsing the web, updating spreadsheets, sending emails, and executing code which means we need an Agentic AI ...
As generative AI adoption accelerates, so do the security challenges that come with it. New research shows that even advanced large language models (LLMs) can be jailbroken with evolving techniques, while multi-agent AI systems introduce fresh risks at the communication and coordination layers. Cybercriminals are also scaling attacks using GenAI ...
AI Is Coming: Meet the Startups Building Cyber Defenses for the Age of AI Alumni Ventures, April 10, 2025 “The PC sparked the first cybersecurity revolution, followed by the cloud and cloud security. Now, we’re entering the era of AI — and AI security is the natural next step.” — ...
Anthropic announces updates on security safeguards for its AI models CNBC, March 31, 2025 Anthropic, a leading AI research company, has taken a major step toward strengthening the security and safety of artificial intelligence by updating its “responsible scaling” policy. Central to the update is a new framework called AI ...
Critical AI Security Guidelines v1.1 – Now Available SANS The SANS Institute has released the Critical AI Security Guidelines v1.0, offering a structured framework for protecting AI technologies across their lifecycle. The guidelines stress that securing AI is not just a technical issue but a strategic imperative—one that requires tight ...
NIST AI 100-2 E2025. Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations NIST, March, 2025 The National Institute of Standards and Technology (NIST) has released a report titled “Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations” (NIST AI 100-2 E2025). The report categorizes AML ...
MCP Security is a top concern for anyone building Agentic AI systems. The Model Context Protocol (MCP) connects tools, agents, and actions. It plays a role similar to TCP/IP—but for autonomous workflows. If MCP is compromised, the entire agent stack is at risk. Attackers can inject prompts, hijack tools, and ...
NIST’s New AML Taxonomy: Key Changes in AI Security Guidelines (2023 vs. 2025) In an ever-evolving landscape of AI threats and vulnerabilities, staying ahead means staying updated. The National Institute of Standards and Technology (NIST) recently published a crucial update to its cornerstone document, “Adversarial Machine Learning: A Taxonomy and ...
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