The post How Escape AI Pentesting Exploited SSRF in LiteLLM appeared first on Escape – Application Security & Offensive Security Blog. At Escape, we routinely test the AI infrastructure that teams ...

Local LLMs aren't very good on their own ...

We moved away from an LLM-first approach and shifted toward a code-first architecture with bounded AI assistance.

Discover how to audit and prune your LLM harness to achieve up to six times better performance without changing models.

Organizations need to internalize a simple principle: Calling an LLM API is a data transfer. You're trusting the provider ...

In 2026, AI threats shift from data leaks to operational chaos. Shadow agents with high-privilege access risk enterprise integrity without DevSecOps oversight.

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production. Deploying an enterprise LLM feature without a gating offline evaluation ...

Google is testing a new image AI model called "Nano Banana 2 Flash," and it's going to be faster than the Nano Banana Pro. This model is part of Gemini's Flash lineup, which is the company's fastest ...

Google has kicked its Gemini rollout into high gear over the past year, releasing the much-improved Gemini 2.5 family and cramming various flavors of the model into Search, Gmail, and just about ...

State-backed hackers are using Google's Gemini AI model to support all stages of an attack, from reconnaissance to post-compromise actions. Bad actors from China (APT31, Temp.HEX), Iran (APT42), North ...