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Repello AI

Enterprise AI security and red teaming for generative AI applications

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What Repello AI does

Repello AI is a generative AI security startup that helps enterprises red-team and protect GenAI applications against adversarial threats. Founded in 2024 by IIT Roorkee alumni Aryaman Behera and Naman Mishra, the company runs its engineering and research out of Bengaluru while operating commercial functions from San Francisco. Repello's platform centers on two products: ARTEMIS (Automated Red Teaming Engine for Mapping, Identification and Scanning), which performs large volumes of adversarial tests across text, image, and audio modalities to proactively uncover vulnerabilities in GenAI systems and provide actionable fixes, and Repello Guard, which delivers runtime protection through threat monitoring and guardrails, detecting unsafe outputs, system prompt leaks, and brand-damaging content in real time. Together the products span pre-deployment testing and production defense, addressing the growing exposure of LLM-powered applications to prompt injection, jailbreaks, and data leakage. Repello targets enterprises and AI product teams deploying customer-facing generative AI who need both offensive testing and continuous guardrails. Backed by $1.225M in seed funding from investors including Venture Highway, pi Ventures, and Entrepreneur First, Repello is an early-stage vendor whose distinguishing focus is multimodal automated red teaming paired with runtime protection.

Key capabilities

  • Automated multimodal red teaming (ARTEMIS)
  • Runtime protection and guardrails (Repello Guard)
  • Vulnerability detection with remediation
  • System prompt leak detection
  • Unsafe output monitoring

Best for

AI product teams needing multimodal red teaming plus runtime guardrails for customer-facing GenAI

Limitations

Very early-stage with modest funding; limited public track record and framework/compliance documentation.

Framework coverage

Repello AI does not publish explicit mappings to the major AI governance frameworks. That is common for tools in the red-teaming & ai security category, where the value is technical rather than documentary — but it means you will be responsible for evidencing how it satisfies your obligations.

Repello AI alternatives

Other tools solving a similar problem in Red-Teaming & AI Security.

End-to-end AI security and governance platform to discover, monitor, red-team and prove enterprise AI

EU AI ActNIST AI RMFISO/IEC 42001

Open-source tool for evaluating and red-teaming LLM apps, agents, and RAG systems

Open-source

Continuous automated AI red teaming and security testing for enterprise AI systems

SOC 2

End-to-end security for the AI and machine-learning supply chain

NIST AI RMFSOC 2Open-source

AI Firewall and automated model validation to secure AI from build to production

NIST AI RMF

Adversarial testing and red teaming to make AI systems reliable and safe

See the full Repello AI alternatives guide →

AI Governance Tool Selection Kit

A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.

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