AI agents are no longer experimental - they’re operational.

Proofpoint has acquired Acuvity, integrating AI-native detection models, runtime enforcement, and governance controls into its security stack.

Key implications for defenders:
• Context-aware AI interaction monitoring
• Control across endpoints, browsers, and AI infrastructure
• Mitigation of prompt injection & model manipulation
• Governance for enterprise AI deployment
• Unified protection for human + agent workflows

Agentic risk modeling is now a core requirement.

Source: https://www.proofpoint.com/us/newsroom/press-releases/proofpoint-acquires-acuvity-deliver-ai-security-and-governance-across

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Google warns of rising AI model theft attempts as attackers use over 100,000 prompts to try cloning its AI chatbot Gemini. State-backed actors exploit AI for reconnaissance, phishing, and malware. Staying vigilant on API access patterns is key. https://itbrief.com.au/story/google-warns-of-ai-model-theft-state-backed-misuse #AIsecurity
Attackers prompted Gemini over 100,000 times while trying to clone it, Google says

Distillation technique lets copycats mimic Gemini at a fraction of the development cost.

Ars Technica
Prompt Injection Via Road Signs - Schneier on Security

Interesting research: “CHAI: Command Hijacking Against Embodied AI.” Abstract: Embodied Artificial Intelligence (AI) promises to handle edge cases in robotic vehicle systems where data is scarce by using common-sense reasoning grounded in perception and action to generalize beyond training distributions and adapt to novel real-world situations. These capabilities, however, also create new security risks. In this paper, we introduce CHAI (Command Hijacking against embodied AI), a new class of prompt-based attacks that exploit the multimodal language interpretation abilities of Large Visual-Language Models (LVLMs). CHAI embeds deceptive natural language instructions, such as misleading signs, in visual input, systematically searches the token space, builds a dictionary of prompts, and guides an attacker model to generate Visual Attack Prompts. We evaluate CHAI on four LVLM agents; drone emergency landing, autonomous driving, and aerial object tracking, and on a real robotic vehicle. Our experiments show that CHAI consistently outperforms state-of-the-art attacks. By exploiting the semantic and multimodal reasoning strengths of next-generation embodied AI systems, CHAI underscores the urgent need for defenses that extend beyond traditional adversarial robustness...

Schneier on Security

✨ L'IA Redéfinit la Sécurité Applicative
Eureka DevSecOps présente l'intégration de l'intelligence artificielle dans les flux DevSecOps pour une défense proactive.

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Ad Alta UG (Germany)

✨ AI's Transformative Role in Application #Security
Eureka DevSecOps CEO to detail the paradigm shift from reactive to AI-integrated proactive defense.

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✨ KI-Revolution in der Anwendungssicherheit
Wie generative KI und Automatisierung die Verteidigungspraktiken von Grund auf neu gestalten

🔗 https://p4u.xyz/ID_B47M9YVC/1 (🇩🇪🇺🇸🇫🇷)

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Join us tomorrow as Farshad Abasi, CEO and Co-founder of Eureka DevSecOps, discusses how AI is reshaping application security.

Friday, February 13th at 10:30am PT / 1:30pm ET

Register for the series: https://info.limacharlie.io/defender-fridays?utm_source=linkedin&utm_medium=organic_social&utm_content=webinar&utm_campaign=defender_fridays&utm_term=&lead_source_detail=mastodon

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