Generative Security provides an API‑driven platform that automatically tests generative AI agents against industry‑specific attack scenarios before deployment. Its GenR3d LLM Security Analyzer includes a pre‑built threat library and customizable abuse cases, delivering actionable reports that integrate into CI/CD pipelines to accelerate secure production roll‑outs while reducing business and technical risk.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying generative AI chatbots lack tools to verify that their agents do not expose proprietary data or perform harmful actions, leading to business, compliance, and reputational risks. Traditional security testing focuses on generic attacks and does not reflect industry‑specific abuse scenarios, making it difficult to achieve secure, production‑ready AI deployments.
Solution
Generative Security offers the GenR3d LLM Security Analyzer, an AI‑agent protection platform that automatically executes real‑world, industry‑specific attack simulations against LLM‑powered applications before they go live. The platform includes a built‑in threat library with dozens of pre‑defined abuse cases that can be customized to match a company’s exact use cases and data flows. Tests are triggered via API and can be embedded in CI/CD pipelines, providing continuous security validation throughout the model lifecycle. After each scan, the system generates audit‑ready PDF reports and atomic JSON findings with evidence and mitigation recommendations, enabling security teams to sign off and developers to remediate issues quickly. This approach accelerates time‑to‑market while reducing both technical vulnerabilities and business exposure.
Target Audience
Primary customers are enterprise development and security teams that build customer‑facing generative AI agents, particularly in regulated or data‑sensitive industries such as retail, finance, and healthcare.
Features
- Industry Threat Library with dozens of pre‑built abuse cases (e.g., inventory exfiltration, employee stalking) ready on day 1
- Customizable prompt testing that automatically adapts abuse scenarios to a chatbot’s specific data sources and business logic
- Fully API‑driven integration for seamless execution within CI/CD and MLOps pipelines
- Automated real‑time prompt attacks that simulate malicious user behavior against the LLM
- Audit‑ready PDF reports and granular JSON findings for compliance (e.g., EU AI Act) and ticketing system integration
- Suggested mitigation actions and evidence collection for each identified vulnerability
- Support for building a private, company‑specific threat library alongside the shared industry cases