Tagged "prompt-injection"
11 articles tagged prompt-injection, 17 February 2026 to 11 August 2026. Newest first.
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DEF CON 34 Exposes 10 Critical Vulnerabilities in Local AI Systems
Security researchers at DEF CON 34 identified 10 significant vulnerabilities affecting local AI deployments, highlighting critical gaps in model serving frameworks, quantization libraries, and inference runtime security. The findings emphasize the need for hardening local LLM infrastructure before production deployment.
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Bounding the Blast Radius: A Survey of Prompt-Injection Defenses for LLM Agents
A comprehensive survey examines the landscape of prompt-injection defense mechanisms for LLM-based agents. Understanding these security patterns is essential for developers building production local deployments with agent capabilities.
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Outpost – Capability-based API access for AI agents
New framework enabling secure, capability-based API access control for locally-deployed AI agents. Outpost provides a structured approach to sandboxing agent interactions with external tools and services.
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Safety Paradox: How RLHF Creates the AI Psychosis Problem It's Meant to Prevent
An analysis of how Reinforcement Learning from Human Feedback (RLHF) may inadvertently create consistency and alignment issues in language models. Critical examination for practitioners fine-tuning local LLMs with safety constraints.
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I got prompt-injected asking Claude on iOS to recommend a cycling route app
Security research highlighting prompt injection vulnerabilities in LLM applications, demonstrating why local models with controlled inputs offer advantages.
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On-Device AI Inference Emerges as New Security Blind Spot for CISOs
Security research identifies critical gaps in organizational understanding of on-device AI inference risks and safeguards. This analysis highlights essential security considerations for enterprises deploying local language models.
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On-Device Apple Intelligence Vulnerable to Prompt Injection Attacks
Security researchers have discovered that Apple's on-device AI system is susceptible to prompt injection techniques, raising important questions about the security model of local LLM deployments.
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Prompt Security Challenges Emerge as Critical Concern for Local LLM Deployments
Security researchers highlight prompt injection and adversarial prompt vulnerabilities as significant risks for locally deployed LLMs, requiring careful consideration of input validation and defensive measures in production inference systems.
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We Audited the Security of 7 Open-Source AI Agents – Here Is What We Found
A comprehensive security audit of popular open-source AI agents reveals vulnerabilities and best practices for securing locally-deployed agentic systems, critical for production deployments.
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I attacked my own LangGraph agent system. All 6 attacks worked
Security analysis of LangGraph-based AI agent systems, demonstrating multiple attack vectors against locally-deployed agentic systems and their implications for production deployments.
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Show HN: Inkog – Pre-flight check for AI agents (governance, loops, injection)
New tool providing security scanning and governance checks for AI agents before deployment, addressing critical vulnerabilities in prompt injection, infinite loops, and policy violations.