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Indirect Prompt Injection: The Hidden Threat Breaking Modern AI Systems
A deep dive into how Indirect Prompt Injection exploits the hidden ingestion surfaces of modern AI systems, why agentic models amplify the risk, and which system-level defenses actually work.
Agentic AI Threats: Over-Privileged Tools & Uncontrolled Browsing (Part 2)
This second installment in Lakera’s Agentic AI Threats series reveals how tool overreach and uncontrolled browsing create new exploit paths—and how runtime guardrails like Lakera Guard and Red keep agents safe.
2025 GenAI Security Readiness Report: A Clearer Picture of Where Enterprises Stand
Discover key insights from Lakera’s 2025 GenAI Security Readiness Report—adoption trends, top risks, and why confidence without vigilance isn’t readiness.
The Backbone Breaker Benchmark: Testing the Real Security of AI Agents
The Backbone Breaker Benchmark (b3) is the first human-grounded, threat-realistic benchmark for AI agents, making LLM security measurable, reproducible, and comparable across models.
Lakera Guard — Fall ’25: Adaptive at Scale
Protect every AI agent - now adaptive to your apps, fluent in 100+ languages, and engineered for speed.
Agentic AI Threats: Memory Poisoning & Long-Horizon Goal Hijacks (Part 1)
How memory poisoning and long-horizon goal hijacks expose the hidden weaknesses of agentic AI, and what Lakera’s research reveals about defending them.
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