MITRE ATLAS
PulseAugur coverage of MITRE ATLAS — every cluster mentioning MITRE ATLAS across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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LLM Red Teaming: A New Frontier in AI Security Testing
LLM red teaming is a specialized security testing practice designed to identify vulnerabilities in AI-powered systems, which differ significantly from traditional web application security testing. This method focuses on…
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Open-source tools for LLM prompt injection testing compared
Several open-source tools exist to test LLM applications for prompt injection vulnerabilities, but they are not interchangeable and cater to different testing needs. Promptfoo, Giskard, and sentinel-scan-cli focus on ap…
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Trust Gateway pipeline refines security with 12-stage verification
The Trust Gateway, previously mislabeled as a firewall, is now a 12-stage verification pipeline designed to deny requests at any stage. It incorporates prompt injection detection rules and argument inspection, though th…
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Open Knowledge Foundation releases GATE v1.4 with output validation and Rust companion
The Open Knowledge Foundation has released version 1.4 of GATE, introducing C20 output validation at the delivery boundary. This update formalizes break-glass procedures as a signed contract and includes new mappings to…
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Orion AI security framework uses 'The Art of War' for vulnerability mitigation
Orion is a new AI security framework designed for both red and blue teams, drawing inspiration from Sun Tzu's "The Art of War." This framework aims to identify and address vulnerabilities in AI models through adversaria…
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AI Recommendation Poisoning: "Summarize with AI" buttons can corrupt LLM memory
Microsoft has identified a new threat called AI Recommendation Poisoning, where seemingly innocuous "Summarize with AI" buttons can permanently alter an LLM assistant's memory. By clicking a specially crafted link, user…
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MITRE ATLAS adds agentic attack techniques to AI threat catalog
MITRE has updated its Adversarial Threat Landscape for Artificial-Intelligence Systems (ATLAS) knowledge base to include specific techniques targeting autonomous AI agents. These new techniques, such as AI Supply Chain …
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New AVE standard addresses AI agent behavioral vulnerability classification
A new open standard called AVE (Agentic Vulnerability Enumeration) has been developed to classify behavioral vulnerabilities in AI agents, addressing a gap left by existing systems like CVE and CWE. These traditional sy…
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Snowflake launches AI guardrail usage view for security monitoring
Snowflake has released a new view, CORTEX_AI_GUARDRAILS_USAGE_HISTORY, which logs guardrail scans for Cortex Code, Cortex Agents, and Snowflake Intelligence. This view allows security teams to monitor for prompt injecti…
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Developer proposes BRACE framework to secure autonomous AI agents
A developer has proposed a framework called BRACE to address security vulnerabilities in autonomous AI agents, following several incidents where agents caused significant damage. The framework categorizes potential fail…
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Anthropic's Mythos model poses security risks, requiring new operational playbooks
Anthropic's Mythos model, initially previewed under strict limitations, demonstrated significant capabilities in discovering software vulnerabilities and bypassing safety guardrails. While Anthropic's Sonnet-4 model sho…
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New Index Maps GenAI Security Incidents to OWASP and MITRE Frameworks
A new index catalogs publicly disclosed security incidents related to generative AI and agentic AI systems. Each incident is cross-referenced with established security frameworks like the OWASP LLM Top 10, OWASP Agentic…
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MIRAGE system uses AI honeypots to trap prompt injection attacks
Instead of blocking prompt injection attacks, the MIRAGE system uses a honeypot approach to deceive attackers. When a suspicious prompt is detected, MIRAGE feeds the attacker fabricated data and logs their actions, maki…
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MLOps security benchmark maps OWASP and MITRE ATLAS to ML pipelines
This article details the creation of an MLOps security benchmark by mapping the OWASP Top 10 for LLMs and the MITRE ATLAS framework onto a practical machine learning pipeline. The author outlines the process of integrat…