security for ai

Cisco Co-Authors Update to the NIST Adversarial Machine Learning Taxonomy

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Cisco Co-Authors Update to the NIST Adversarial Machine Learning Taxonomy

The rapid evolution and enterprise adoption of AI has motivated bad actors to target these systems with greater frequency and sophistication. Many security leaders recognize the importance and urgency of AI security, but don’t yet have processes in place to effectively manage and mitigate emerging AI risks with comprehensive coverage of the entire adversarial AI threat landscape. Robust Intelligence (now a part of Cisco) and the UK AI Security Institute partnered with the National Institute…

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Cisco Introduces the State of AI Security Report for 2025: Key Developments, Trends, and Predictions in AI Security

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Cisco Introduces the State of AI Security Report for 2025: Key Developments, Trends, and Predictions in AI Security

As one of the defining technologies of this century, artificial intelligence (AI) seems to witness daily advancements with new entrants to the field, technological breakthroughs, and creative and innovative applications. The landscape for AI security shares the same breakneck pace with streams of newly proposed legislation, novel vulnerability discoveries, and emerging threat vectors. While the speed of change is exciting, it creates practical barriers for enterprise AI adoption. As our Cisco 2024 AI Readiness Index…

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AI Threat Intelligence Roundup: February 2025

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AI Threat Intelligence Roundup: February 2025

At Cisco, AI threat research is fundamental to informing the ways we evaluate and protect models. In a space that is dynamic and rapidly evolving, these efforts help ensure that our customers are protected against emerging vulnerabilities and adversarial techniques. This regular threat roundup shares useful highlights and critical intelligence from third-party threat research with the broader AI security community. As always, please remember that this is not an exhaustive or all-inclusive list of AI…

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Evaluating Security Risk in DeepSeek and Other Frontier Reasoning Models

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Evaluating Security Risk in DeepSeek and Other Frontier Reasoning Models

This original research is the result of close collaboration between AI security researchers from Robust Intelligence, now a part of Cisco, and the University of Pennsylvania including Yaron Singer, Amin Karbasi, Paul Kassianik, Mahdi Sabbaghi, Hamed Hassani, and George Pappas. Executive Summary This article investigates vulnerabilities in DeepSeek R1, a new frontier reasoning model from Chinese AI startup DeepSeek. It has gained global attention for its advanced reasoning capabilities and cost-efficient training method. While its…

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Cisco AI Defense: Comprehensive Security for Enterprise AI Adoption

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Cisco AI Defense: Comprehensive Security for Enterprise AI Adoption

Today, we are witnessing artificial intelligence radically reshape the way we do business. Last year, we published our Cisco AI Readiness Index, which provided critical insights into the state of enterprise AI adoption. In both our survey results and my own conversations with business leaders, a common trend was evident. Despite growing pressures to harness this transformational technology, AI readiness seems to be declining. There are several factors behind this but concerns around safety and…

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