DeepKeep is introducing Vibe AI Red Teaming, a new approach that combines human expertise with AI-driven execution.

With open-source tools like Heretic performing a 45-minute lobotomy to effortlessly erase an AI's built-in safety guardrails, organizations must abandon the illusion that models can police themselves.

The OWASP v1.0 AI Red Teaming standard is the new benchmark for enterprise resilience. Read how DeepKeep ditches static jailbreaks for dynamic, context-aware testing across your entire agentic workflow.

Poisoned training samples can turn ControlNet into a hidden backdoor. From a security perspective, this is not a noisy exploit. It is a sleeper agent waiting for the right signal.

Let one AI keep an eye on another AI feels like putting a referee in the game. In reality, LLM-as-a-judge isn’t the silver bullet some people wish it was.

AI has gotten good at understanding not just what we type, but what we show. This shift has made AI more powerful. Unfortunately, it has also made it more vulnerable.

Everyone is looking for an efficient way to detect and block jailbreaks, but here’s the uncomfortable truth: you can’t reliably detect every jailbreak, and trying to chase them all is a losing game.

AI is no longer a one-trick tool. It writes reports, analyzes photos, answers complex questions, and even kicks off real-world actions. Most of this power comes from two areas working side by side: Generative AI and Computer Vision.

AI agents don't just answer questions. They act. That means the blast radius of a security failure has expanded dramatically. Here's the attack surface most teams haven't mapped yet.

DeepKeep has been awarded €2.5M in blended finance through the EIC Accelerator's October 2024 cut-off. The co-funded project: Multimodal Models with AI-Native Security and Trustworthiness - a recognition that securing AI across LLMs, computer vision, spatial sensing, and multimodal systems isn't a nice-to-have. It's infrastructure.

Comprehensive PII detection combines scanning of data, penetration testing and a real-time AI firewall

Prompt injection is the most exploited vulnerability in AI systems today, and one of the hardest to fully fix. Here's what it is, why it's structural, and how to build a defense that actually holds.

Red teaming AI systems isn't the same as traditional pen testing. The attack surface is different, the methods are different, and a one-time exercise won't keep you safe. Here's what it actually involves.

Evaluating model resilience is paramount, particularly during its inference phase in order to provide insights into the model's ability to handle various scenarios effectively

DeepKeep offers AI-Native security and trustworthiness that secures AI throughout its entire lifecycle

DeepKeep's evaluation of LlamaV2 7B's security and trustworthiness found strengths in task performance and ethical commitment, with areas for improvement in handling complex transformations, addressing bias, and enhancing security against sophisticated threats