AI4I \ R&D Labs
AI Security
The AIS Lab advances AI security through rigorous, applied research in threat detection, vulnerability assessment, and protective measures. We focus on securing modern AI systems against realistic, adaptive adversaries, bridging the gap between research and production.
Our team conducts foundational research in AI security and translates breakthroughs into practical, deployable solutions that integrate seamlessly with your existing stack. We rigorously evaluate models, agents, and AI systems under real-world attack scenarios, uncovering failure modes across the model, data, infrastructure, and application layers.
Beyond assessment, we help organizations secure AI releases end to end. This includes designing adaptive guardrails, implementing continuous monitoring, and establishing robust validation and assurance processes that evolve alongside emerging threats.
Detect. Prevent. Comply.
We equip organizations with the tools and knowledge to deploy AI systems safely and responsibly.
Detect risk before it becomes an incident.
We run controlled adversarial simulations to stress-test AI systems before real attackers can exploit them. This involves simulating malicious behavior through prompt manipulation, tool-chain disruptions, and protocol deviations to uncover vulnerabilities such as jailbreaks, data leaks, unsafe tool activations, and injection flaws.
Translate findings into integration checks. You get replayable evidence, a clear fix plan with ownership, and a regression suite integrated with CI so fixes hold and issues do not return.
Block unsafe AI behavior in real time without adding latency.
We enforce real-time input and output policy, keeping prompts, memory, and tool actions within safe bounds while meeting latency targets.
Production telemetry feeds new attack patterns and drift signals into red teaming and assurance so defenses improve with every release.
Meet regulations with evidence.
We run evidence‑based evaluations across model behavior, guard prompts, retrieval layers, tool orchestration, and data handling to catch latent vulnerabilities and misalignment early.
We align evaluations to regulatory controls (EU AI Act, NIST AI RMF, ISO 42001, IEC 23894), generate signed, audit‑ready traces, and enforce fail‑fast promotion gates.
>
Research
>
Latest News
HackAgent
HackAgent is an open-source security evaluation toolkit built for researchers, developers, and AI safety practitioners working with AI agents. It delivers a systematic approach to vulnerability discovery, covering prompt injection, jailbreak attacks, and additional threat vectors. Why HackAgent? Built for developers, red-teamers, and security engineers, HackAgent makes it easy to simulate adversarial inputs, automate prompt fuzzing, and validate the safety of AI agentic apps. Whether you’re building a chatbot, autonomous agent,