Repello AI Secures $1.2M to Defend Generative AI Against Evolving Threats
Funding empowers Repello AI to secure generative AI, bridging the crucial gap between rapid adoption and robust defenses.
June 12, 2025

Repello AI, a generative AI-focused security startup, has successfully secured $1.225 million in seed funding.[1] This investment aims to significantly bolster the company's mission to protect generative AI systems from a landscape of rapidly evolving and emerging threats.[1] The funding announcement underscores a critical juncture in the technology sector, where the accelerated adoption of artificial intelligence is outpacing the development and deployment of robust security measures designed to safeguard these advanced systems.
The imperative for specialized AI security solutions is growing at an unprecedented rate. As enterprises increasingly integrate generative AI into every conceivable function, they often rely on outdated security playbooks that are ill-equipped to handle the novel vulnerabilities introduced by AI.[1] This gap is highlighted by real-world incidents, such as a car dealership's chatbot erroneously authorizing sales for a mere dollar, which serve as stark evidence that AI safety cannot be a secondary consideration.[1] Industry experts emphasize that deploying generative AI applications without dedicated security is akin to building a house without doors, leaving valuable AI infrastructure exposed.[1] The core challenge lies in the unique risks AI models present, including data poisoning, model inversion, adversarial attacks, and the potential for biased or harmful outputs.[2][3] These risks are compounded by the complexity of the AI supply chain, which often relies on external, sometimes untrusted, components, creating further opportunities for malicious actors.[4]
Repello AI, founded in 2024 by Aryaman Behera and Naman Mishra, aims to address these challenges directly through its innovative platforms.[5][1] The company's flagship offerings, ARTEMIS (Automated Red Teaming Engine for Mapping, Identification and Scanning) and Repello Guard, are designed to provide continuous AI red teaming and establish effective guardrails.[1] ARTEMIS proactively scans generative AI models for vulnerabilities across various modalities, including text, image, and audio.[1] This automated approach to red teaming transforms what was traditionally a periodic, often quarterly, enterprise task into an integral and continuous part of the AI development and deployment pipeline.[1] Complementing ARTEMIS, Repello Guard functions as a runtime security tool, actively filtering unsafe outputs and flagging risks such as prompt injection, competitor mentions, and prompt leaks in real-time.[1] This dual approach offers continuous monitoring and threat mitigation, aiming to identify and neutralize exploits before they are released into production and to preempt threats as they emerge.[6] Repello's technology is designed to be context-aware, tailoring security measures to the specific needs of an AI application and integrating directly into CI/CD pipelines to detect and remediate security flaws early without hindering development speed.[5][6]
The $1.225 million seed funding round saw participation from prominent investors including Venture Highway (now part of General Catalyst), pi Ventures, and Entrepreneur First.[1] Notable angel investors such as Charles Songhurst, a Meta board member, Vivek Raghavan, CEO of Sarvam AI, and Satya Vyas, CEO of Project Hero, also contributed to the round.[1] This financial injection is earmarked to further develop Repello AI's platforms, expand its team, and scale its operations to meet the growing demand for AI security solutions. The company has already reported working with several Fortune 500 companies and AI unicorns in its early stages.[7] The founders bring significant expertise to the venture, with CEO Aryaman Behera having a background as an offensive security engineer and bug bounty hunter, including experience with Microsoft's Azure Red team, and CTO Naman Mishra, a former founding engineer at an e-sports startup with a background in software development and ML security research.[7] Entrepreneur First, one of the early investors, highlighted Repello AI as a promising venture, offering an automated red-teaming tool to proactively identify vulnerabilities in generative AI applications.[8]
The successful funding of Repello AI is indicative of a broader trend within the AI industry and the cybersecurity market. There's a clear and growing recognition that as AI becomes more powerful and pervasive, the associated security risks multiply and demand specialized, proactive defense mechanisms.[9][10] "Red teaming," the practice of simulating attacks to identify vulnerabilities, is becoming an essential component of AI development and deployment.[11][12] Automated red teaming, as offered by Repello AI and other emerging companies like Mindgard, aims to make this process more efficient, scalable, and continuous, allowing for the rapid identification and mitigation of AI-specific risks that often only manifest at runtime.[13][14] Similarly, AI guardrails – frameworks, processes, and tools designed to monitor and regulate AI system behavior – are crucial for ensuring that AI operates within ethical, legal, and safe boundaries.[15][16][17][18][19] These guardrails help prevent malicious inputs, filter harmful outputs, detect vulnerabilities like prompt injections, and protect sensitive data.[18] The investment in companies like Repello AI signifies a market maturation, where the focus is shifting from merely developing AI capabilities to ensuring their safe, secure, and responsible deployment. This focus is further driven by emerging regulatory landscapes, such as the EU AI Act and US executive orders, which are beginning to mandate more rigorous testing and risk management for AI systems.[12][20]
In conclusion, Repello AI's $1.225 million funding round marks a significant step for the startup and reflects a critical evolution in the artificial intelligence landscape. As AI systems become increasingly integrated into the fabric of business and society, the need for robust, continuous, and automated security solutions like those being developed by Repello AI is paramount. The company's focus on automated red teaming and adaptive guardrails directly addresses the unique and complex challenges posed by generative AI. This investment not only fuels Repello AI's growth but also highlights the increasing investor confidence in and the market demand for solutions that can help ensure AI is developed and deployed securely and responsibly, ultimately fostering greater trust and accelerating the beneficial adoption of artificial intelligence technologies. The journey ahead involves navigating a rapidly changing threat landscape and contributing to the establishment of new security paradigms for the AI era.[14][1][6]
Research Queries Used
Repello AI funding
Repello AI $1.2M funding automate red teaming AI guardrails
AI security risks and solutions
automated red teaming for AI
AI guardrails importance
investment in AI security companies
Repello AI investors
Repello AI mission and technology
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