Tag: NIST AI RMF
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AI Red Teaming: Breaking Your Models Before Attackers Do
How to stress-test, find, and fix the real vulnerabilities in your AI systems before someone else does. TL;DR AI red teaming is an adversarial, multidisciplinary practice that probes production and pre-production models to surface security, safety, privacy and misuse risks. It borrows from cyber red teams but expands to data, model artifacts, pre-trained components, prompt…
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AI Security in the Age of Regulation: EU AI Act, NIST RMF, and ISO/IEC 42001
The rise of artificial intelligence poses enormous benefits from efficiency gains to new products but also introduces new classes of risks (bias, misuse, privacy, safety). Regulators and standards bodies globally are racing to codify guardrails around AI. In this new era, AI security is not just a technical engineering challenge, but also a compliance, governance,…
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Adversarial AI in the Wild: Real-World Attack Scenarios and Defenses
AI is no longer just predicting clicks and classifying cats. it’s browsing the web, writing code, answering customer tickets, summarizing contracts, moving money, and controlling workflows through tools and APIs. That power makes AI systems an attractive, new attack surface often glued together with natural-language “guardrails” that can be talked around. This guide distills the…
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Shadow AI: The Hidden Risk Lurking Inside Organizations
Artificial Intelligence (AI) has become the driving force behind innovation in enterprises optimizing operations, enabling predictive analytics, and enhancing decision-making. But with AI’s rapid adoption comes a dangerous byproduct: Shadow AI. Just as “shadow IT” once described unsanctioned apps and tools used without IT’s approval, Shadow AI refers to AI systems, models, and tools deployed…
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What is MITRE ATLAS?
MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a knowledge base of adversarial tactics and techniques specifically targeting AI and machine learning systems. Think of it as the AI-focused sibling of MITRE ATT&CK®, but designed to capture the unique ways adversaries can manipulate AI models and pipelines. It catalogs: You can explore it here:…