AI governance AI Governance in the Enterprise: Balancing Innovation with Security and Compliance Explore how AI guardrails and robust security measures enable enterprises to navigate regulatory complexities and deploy AI models responsibly, ensuring security and compliance.
AI agent security Enhancing AI Agent Security: A Trust Layer for the Model Context Protocol Explore how the Attested Tool-Server Admission mechanism adds a vital trust layer to the Model Context Protocol (MCP), securing AI agents against vulnerabilities like the "confused deputy" problem for enterprise-grade deployments.
AI Security Securing Generative AI: Introducing the STRIDE-AI Threat Modeling Framework Discover STRIDE-AI, a revolutionary threat modeling framework designed to secure generative AI systems against unique adversarial attacks like prompt injection and data poisoning. Learn how it bridges risk standards with practical defense.
AI cybersecurity Unmasking Stealthy AI Cyberattacks: FragBench's Graph-Based Defense Against Fragmented LLM Threats Discover how FragBench, a new benchmark, exposes sophisticated cross-session fragmented AI attacks that bypass traditional LLM safety. Learn about graph-based defenses critical for modern enterprise security.
AI agent security Securing AI Agents: Resolving the Granularity Mismatch in Trust and Authority Explore how argument-level provenance and capability contracts enhance AI agent security, preventing indirect prompt injection attacks by distinguishing trusted data from authority-bearing arguments.
Agentic AI Advancing Cyber Defense: Stable Agentic AI with Tool-Mediated LLM Architecture Explore how a tool-mediated LLM architecture provides formally verified stability for autonomous cyber defense, ensuring robust EDR policy optimization against adaptive AI adversaries.
LLM security Unveiling the "Why": Local Explanations for Large Language Model Jailbreak Success Explore LOCA, a novel method for generating minimal, local, and causal explanations of why jailbreak attacks succeed in Large Language Models, enhancing AI security.
AI Security Securing Autonomous AI: How Alignment Contracts Control Agentic Security Systems Explore alignment contracts, a formal framework designed to control powerful AI security agents. Learn how these contracts enforce operational boundaries, prevent misuse, and ensure integrity for enterprises deploying autonomous cybersecurity tools.
LLM security The Unseen Dangers: Evaluating Security in LLM-Generated Cryptographic Rust Code An empirical study reveals critical security vulnerabilities in cryptographic Rust code generated by leading LLMs. Learn why functional correctness isn't enough and how to safeguard your AI-driven development.
LLM security Safeguarding LLM Agents: Why Omission Constraints Fade in Long Conversations Discover Security-Recall Divergence (SRD), a critical vulnerability where LLM agent prohibitions decay under context pressure, risking enterprise security. Learn how to maintain robust AI policy compliance.
RAG security Adaptive Defense: Orchestrating RAG Security Against Multi-Vector AI Attacks Explore the Sentinel-Strategist architecture for Retrieval-Augmented Generation (RAG) systems. Learn how adaptive defense orchestration mitigates multi-vector threats like data poisoning and membership inference without sacrificing performance.
AI agent safety The Hidden Threat: How Harmful Skills "Weaponize" Autonomous AI Agents Explore how seemingly innocuous "skills" can transform AI agents into tools for harmful activities like cyber attacks and fraud, and discover how enterprises can protect against this emerging threat.
AI cybersecurity Anthropic's Mythos: Balancing Internet Security and Enterprise Strategy in AI Deployment Explore Anthropic's decision to limit Mythos AI release, balancing critical internet security protection with strategic enterprise partnerships and IP defense against model distillation.
LLM security Beyond Code Generation: Fortifying AI-Generated Software with the Detect-Repair-Verify Workflow Explore the Detect-Repair-Verify (DRV) workflow for securing LLM-generated code. This study reveals how DRV enhances software security and correctness, highlighting its effectiveness across various project scales and the critical role of robust verification.
prompt injection Prompt Injection as Role Confusion: Unmasking the Deeper Flaw in LLM Security Explore "role confusion" as the root cause of prompt injection attacks in LLMs. Learn how models infer authority from style, not source, and the implications for enterprise AI security.
indirect prompt injection Unmasking the AI Trojan Horse: How Indirect Prompt Injection Threatens Automated Recruitment Explore how "Trojan Horse" resumes can manipulate AI recruiting models through indirect prompt injection, revealing unexpected vulnerabilities in advanced reasoning AI.
AI agent observability Unlocking Trust: Dynamic Observability for AI Agents in High-Stakes Environments Explore AgentTrace, a pioneering framework for real-time observability in LLM-powered AI agents. Discover how dynamic monitoring enhances security, reduces risk, and builds trust for enterprise AI deployments.
LLM security Strengthening Generative AI: Defending LLMs Against Prompt Injection and Jailbreaking Explore the critical vulnerabilities of LLMs to prompt injection and jailbreaking, and the systematic defenses emerging. This article discusses an expanded NIST taxonomy and practical strategies for securing generative AI deployments.
LLM security Unmasking Advanced LLM Vulnerabilities: The ICON Framework and Intent-Context Coupling Explore the ICON framework, revealing how multi-turn jailbreak attacks leverage "Intent-Context Coupling" to bypass LLM safety. Understand the deep implications for enterprise AI security.
LLM security Safeguarding AI: Benchmarking Llama Model Security Against OWASP Top 10 for LLMs Explore a critical study benchmarking Llama models against OWASP Top 10 for LLM security. Discover how specialized AI guards protect enterprises from prompt injection and other threats.
AI cybersecurity Safeguarding Your Software Supply Chain: The Power of Multi-Agent AI in Detecting Malicious Code Discover how multi-agent AI systems revolutionize software supply chain security by detecting malicious PyPI packages with high accuracy and efficiency, protecting businesses from evolving threats.
LLM security The Hidden Dangers of Emoticons: A Critical Look at LLM Semantic Confusion and Enterprise Risk Explore emoticon semantic confusion in Large Language Models (LLMs), a critical vulnerability leading to 'silent failures' and severe security risks for enterprises. Learn why robust AI interaction is paramount.
LLM security Safeguarding Large Language Models: A Layered Defense Strategy Against AI Jailbreaks Explore TRYLOCK, a defense-in-depth architecture combining DPO, RepE steering, adaptive classification, and input canonicalization to secure LLMs against sophisticated jailbreak attacks.
AI evaluation Beyond Harmful: The Crucial Need for Fine-Grained AI Evaluation in Enterprise LLMs Discover why traditional AI evaluation overestimates Large Language Model (LLM) jailbreak success. Learn how ARSA Technology leverages fine-grained analysis for safer, more effective enterprise AI.
AI cybersecurity Revolutionizing Cybersecurity: AI for Automated Post-Incident Policy Gap Analysis Discover how ARSA Technology leverages AI and LLMs to automate cybersecurity post-incident reviews, identifying policy gaps and enhancing organizational resilience with speed and precision.
