vlno — We train the threat out

vlno is the security layer for agentic AI. We produce adversarial training data, security evaluation environments, and reinforcement-learning trajectories that harden frontier models against indirect prompt injection and other attacks — continuous AI safety baked into the model weights, not bolted on at runtime.

Frequently asked questions

What is vlno?

vlno (from “Vulnerability — No.”) is a stealth AI security company based in Tel Aviv. It is the security layer for agentic AI: it produces the adversarial training data that hardens frontier models against the attacks they haven’t seen yet.

What is indirect prompt injection?

Indirect prompt injection (IPI) is an attack in which malicious instructions are hidden inside untrusted content an AI agent reads — a web page, email, PDF, document comment, or tool response — causing the agent to take harmful actions such as exfiltrating confidential data. Defending agentic systems against it is vlno’s focus.

What does vlno build?

One pipeline, three outputs: adversarial attack generation, sandboxed security evaluation environments, and reinforcement-learning trajectories that plug directly into a model’s fine-tuning pipeline.

How is vlno different from guardrails or red-team reports?

Runtime guardrails wrap a model and leave it vulnerable underneath; red-team reports only name weaknesses. vlno produces the training data that makes the model itself stronger — safety baked into the weights, not bolted on afterward.

Where is vlno based, and is it hiring?

vlno is based in Tel Aviv and is building a small, senior team across adversarial research, platform engineering, ML / post-training, and operations. Reach out at hello@vlno.ai.