Based on Microsoft AI Red Team’s white paper “Taxonomy of Failure Modes in Agentic AI Systems”. Why CISOs, Architects & Staff Engineers Must Read Microsoft’s Agentic AI Failure Mode Taxonomy Agentic AI is moving from proof-of-concept to production faster than most security teams can update their threat models. In response, ...
As AI systems rapidly integrate into critical infrastructure and enterprise workflows, their attack surfaces are expanding just as quickly. Consequently, traditional cybersecurity controls are no longer sufficient. To address this growing risk, the new ETSI TS 104 223 V1.1.1 (2025-04) — Securing Artificial Intelligence (SAI); Baseline Cyber Security Requirements for ...
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 ...
Recently, Adversa’s AI Red Team, a research division at Adversa AI, in collaboration with CUJO AI, Microsoft, and Robust Intelligence organized the annual Machine Learning Security Evasion Competition (MLSEC 2022). The contest announced at DEFCON AI Village has united practitioners in AI and cybersecurity fields in finding AI vulnerabilities and ...
The Blueprint for an AI Bill of Rights is a set of five principles and associated practices to help guide the design, use, and deployment of these and similar systems. They are becoming necessary in different industries and fields of activity to protect civil rights, liberties, and privacy in the ...
NVIDIA GPU Technology Conference (GTC), November 8-11, 2021, is an event that touches on a wide range of topics including developments in the field of artificial intelligence, graphics, data centers and more. Including at the conference this year, reports were presented covering the topic of trusted and secure AI, which we would ...
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