Kanti Labs
Kanti Labs Models
Kanti Labs models are open-weight offensive security models built for web exploitation research, local deployment, and iterative post-training.
kanti-xss-sft-4b
Supervised fine-tuned on curated XSS synthetic Strix traces from real vulnerabilities. Designed to be used as a Strix sub-agent.
kanti-xss-rl-4b
Reinforcement learning variant trained with reward signals from simulated XSS validation. Designed to be used as a Strix sub-agent.
Open Weight
Kanti Labs models are released so researchers can inspect weights, reproduce local runs, and test real integration constraints instead of relying on a closed demo stack.
Web Exploitation Focus
The current series concentrates on XSS workflows, synthetic traces, and reward signals that map directly to offensive web security tasks.
Built for Iteration
Model cards are only part of the picture. Kanti Labs pairs releases with research notes and a public roadmap so the training direction stays legible.
Related Kanti Labs Pages
Read the Kanti Labs research roadmap for training context, or use Contact Kanti Labs to discuss collaboration or model evaluation.