AI SECURITY RESEARCH & INTELLIGENCE
Real-world attacks. Proven techniques. Defensive insights. Continuously tracking and analyzing threats targeting AI systems, models, agents, applications, and data.
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AI Attack Intelligence
Explore validated AI attack research and threat intelligence.
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0 attacksDirect Prompt Injection
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Real-world AI security activity, mapped.
Human-reviewed public-source incidents mapped to Redbot Labs attack intelligence.
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Featured Research
Original security research, practical field guidance, and threat intelligence focused on how enterprise AI systems fail under real adversarial pressure.
Defending in the Mythos Era: AI Security Beyond the Model
Enterprise AI security cannot stop at model evaluation. This research examines the wider attack stack, including applications, agents, tools, data pipelines, identity boundaries, and the infrastructure surrounding the model.
Enterprise AI Security Field Guide
A practical guide to testing models, applications, RAG systems, agents, and AI-enabled workflows.
AI Governance Is Not AI Security: Attack the Stack
Redbot Security’s AI security research hub covers LLM testing, prompt injection, RAG risk, AI agents, data leakage, model abuse, tool invocation, and the attack paths created when generative AI connects to real business systems.
Enterprise AI Security Research.
Offensive Intelligence.
Real-World Validation.
Redbot Labs is the dedicated research and intelligence division of Redbot Security, focused exclusively on enterprise AI security, adversarial testing, offensive research, and attack intelligence.
Every intelligence record published within this workspace is designed to help security leaders, developers, architects, and AI engineers understand how modern AI systems are attacked, how those attacks evolve, and how organizations can validate defenses before attackers exploit them.
From prompt injection and RAG manipulation to autonomous agent abuse, model inversion, and emerging AI attack techniques, Redbot Labs provides continuously updated intelligence built from practical offensive security methodology.

