Repello AI, an emerging leader in AI security, recently secured $1.2 million in a seed funding round. Venture Highway (now part of General Catalyst), pi Ventures, Entrepreneur First, and prominent angel investors such as Charles Songhurst (Board Member at Meta), Vivek Raghavan (CEO of Sarvam.ai), and Satya Vyas (CEO of Project Hero) participated in the funding round. With offices in San Francisco and Bengaluru, Repello AI now aims to strengthen its product development, boost red teaming and threat intelligence capabilities, scale its market outreach, and establish strategic partnerships.

Building the Future of AI Security

In 2024, IIT Roorkee alumni Aryaman Behera and Naman Mishra founded Repello AI with a clear mission: secure generative AI applications against the growing spectrum of threats. As businesses rush to deploy generative AI across various functions, the security risks evolve at a much faster pace. Traditional cybersecurity frameworks fall short of addressing these AI-specific vulnerabilities. Repello AI tackles this gap head-on by providing purpose-built solutions that proactively identify and neutralize emerging threats before they escalate into serious enterprise risks.

The co-founders bring deep expertise in cybersecurity and machine learning. They designed Repello AI to handle the unique challenges posed by GenAI models. These challenges include prompt injection attacks, sensitive data leaks, data poisoning, and emerging vulnerabilities that could result in significant financial losses and reputational damage. By integrating advanced security protocols with cutting-edge AI capabilities, Repello AI simplifies compliance processes and delivers actionable, real-time solutions for enterprises.

ARTEMIS: The Core of Repello AI’s Defense Strategy

At the heart of Repello AI’s product suite stands ARTEMIS (Automated Red Teaming Engine for Mapping, Identification, and Scanning). Unlike conventional security platforms that respond to threats after breaches occur, ARTEMIS shifts the approach from reactive to proactive. It continuously runs millions of automated adversarial tests across text, image, and audio modalities to simulate real-world attack scenarios on GenAI systems.

Through constant adversarial testing, ARTEMIS identifies weaknesses and generates mitigation strategies before attackers can exploit vulnerabilities. This constant vigilance ensures enterprises stay several steps ahead of malicious actors. The platform not only detects risks but also provides clear, actionable fixes, allowing organizations to secure their AI deployments efficiently and confidently.

Repello Guard: Real-Time AI Application Security

In addition to ARTEMIS, Repello AI offers Repello Guard, a runtime security solution designed specifically for generative AI applications. Repello Guard monitors AI systems in real-time, scanning both inputs and outputs to detect AI-specific threats such as unsafe outputs, competitor mentions, system prompt leaks, and other potentially harmful behaviors.

By implementing real-time input/output filtering and monitoring, Repello Guard enables enterprises to prevent harmful content generation, unauthorized information disclosure, and unintended policy violations. The combination of ARTEMIS’s adversarial testing with Repello Guard’s live monitoring provides a comprehensive security framework that addresses both known and emerging threats.

A Growing Need for GenAI-Native Security

Aryaman Behera, Co-Founder and CEO of Repello AI, highlights the urgency of addressing AI security:
“We’re at an inflection point where AI adoption is accelerating faster than security solutions can keep pace. Enterprises are deploying generative AI across every function, but they’re doing it with yesterday’s security playbook. The best defense is a strong offense, and we’re ensuring our customers can proactively identify and neutralize emerging AI security threats before they become enterprise risks. The market needs a new approach – one that’s as sophisticated and scalable as the AI systems it’s protecting. That’s exactly what we’re building.”

Naman Mishra, Co-Founder and CTO, echoes this commitment to proactive defense:
“As GenAI transforms industries, its security architecture cannot be an afterthought. From day one, our goal has been to stay ahead of emerging threats. With our products, we’re reimagining AI security from the ground up—merging proactive adversarial testing with automated scale to preempt threats before they are exploited.”

Their combined vision focuses on transforming AI security into a dynamic, constantly evolving practice that meets the complex and fast-changing threat landscape unique to generative AI technologies.

Industry Leaders Endorse Repello AI’s Vision

Investors and industry experts recognize the uniqueness and timeliness of Repello AI’s approach. Roopan Aulakh, Managing Director at pi Ventures, emphasizes the importance of Repello AI’s innovation:
“Generative AI introduces a fundamentally new threat landscape—one that traditional cybersecurity solutions weren’t built for. Accurately detecting and mitigating threats in the dynamic GenAI attack surface is a complex challenge. Having built in security and AI since their college days, Aryaman and Naman have built a GenAI-native security solution to go beyond perimeter defense, identify unknown threats and optimize for high precision and recall.”

This vote of confidence from experienced venture capitalists and respected angel investors underscores the startup’s potential to become a key player in the AI security market.

Market Opportunity and Industry Context

As enterprises increasingly integrate AI into business operations, the potential attack surface grows exponentially. Generative AI models process massive volumes of data, generate human-like content, and interface with critical enterprise systems. Malicious actors can exploit prompt injection attacks to manipulate outputs, poison training datasets to introduce long-term vulnerabilities, or extract confidential information through unintended model behavior.

Repello AI directly addresses these challenges by simulating sophisticated attack patterns that mimic real-world adversaries. Its continuous testing and real-time monitoring allow organizations to close security gaps before threat actors can identify and exploit them.

By targeting the full lifecycle of GenAI development and deployment, Repello AI positions itself uniquely in a market that demands specialized expertise and tools. Many existing cybersecurity firms focus primarily on securing network infrastructure, access controls, or cloud environments, but few offer specialized solutions tailored to the nuances of generative AI security.

Future Roadmap and Use of Funds

With the newly raised capital, Repello AI plans to fast-track product development. The company will further enhance ARTEMIS’s adversarial testing engine and strengthen Repello Guard’s real-time monitoring capabilities. Repello AI will also invest in building advanced threat intelligence systems that stay ahead of constantly evolving AI security risks.

On the business front, the company will expand its go-to-market operations, onboard enterprise customers, and forge strategic partnerships with AI platform providers, cybersecurity firms, and regulatory bodies. These collaborations will enable Repello AI to integrate its solutions into broader enterprise AI ecosystems, ensuring seamless adoption and comprehensive security coverage.

Setting New Standards for AI Security

Repello AI’s approach combines deep technical expertise with an understanding of the enterprise security landscape. The co-founders leverage their experience and academic foundations to pioneer a new category of AI-native security solutions that scale alongside the rapid growth of generative AI technologies.

By proactively detecting threats, neutralizing risks, and ensuring regulatory compliance, Repello AI empowers enterprises to embrace AI innovations confidently. As generative AI continues to reshape industries, Repello AI positions itself to become a foundational pillar in the safe and responsible deployment of AI systems.

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