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AI agent authorization startup Arcade nabs $60M investment
Arcade AI Inc., the developer of an authorization platform for artificial intelligence agents, today announced that it has raised $60 million in funding. SYN Ventures led the Series A round. It was joined by Morgan Stanley and Wipro Ltd., a publicly traded technology consulting firm. The process of giving an AI agent access to a business application comprises two steps. The first step verifies that the agent has permission to use the program. The second step, which is known as authorization, defines the specific application features that the agent may use. Arcade has developed a platform that simplifies the latter workflow for enterprises. The company was founded in 2024 by Chief Executive Officer Alex Salazar and Chief Technology Officer Sam Partee, who previously held senior product roles at Oka Inc. and Redis Inc., respectively. Today's funding round was preceded by a $12 million seed raise last year. Developers historically had to build custom authorization mechanisms for their AI agent projects. Arcade's platform provides pre-packaged authorization features that reduces the need for custom code. According to the company, that saves time and avoids the bugs often associated with ad hoc cybersecurity guardrails. Arcade determines which agent can access what application feature by integrating with companies' IdP system. An IdP is a database that tracks application access permissions. If a record in a company's IdP changes, Arcade can modify AI agent permissions accordingly, which removes the need for manual updates. When users authorize an AI agent to access a particular application feature, the access permission is typically valid round-the-clock. That means hackers who gain access to the agent can compromise the application with relative ease. Arcade says that its platform narrows the attack surface by only authorizing specific agent actions. The system performs authorization using a popular open-source protocol called Oath 2.0. The technology manages agents' access to applications using pieces of data called OATH tokens, which serve a similar role as passwords. Arcade stores OTH tokens to spare developers the hassle of managing them. It encrypts them before rather than after sending them to storage, which makes it more difficult for hackers to decipher the data. For added measure, Arcade has equipped its platform with a so-called salting mechanism. It mitigates the cybersecurity risks associated with credentials that have identical plaintext values. Arcade enables companies to log the actions of agents powered by its platform. Additionally, it provides access to more than 8,000 MCP tools that those agents can use to automate work tasks. "Agents don't fail in production because the model is wrong," Salazar said. "They fail because nobody can prove that for any given action by an agent, whether that agent on behalf of that user can perform that action on that resource. That's what we built." Arcade will use its new funding to expand its platform's agent governance features and MCP tool catalog.
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Arcade Raises $60 Million to Control AI Agents | PYMNTS.com
The company will use the new funding for product development, ecosystem growth and hiring to support enterprise AI deployment as it scales from pilots to production workflows, it said in a Monday (June 15) press release. "Agents don't fail in production because the model is wrong," Arcade.dev Co-Founder and CEO Alex Salazar said in the release. "They fail because nobody can prove that for any given action by an agent, whether that agent on behalf of that user can perform that action on that resource. That's what we built." Arcade's secure action layer provides authorization that ensures agents get the access the user has, only for the action they're taking; reliability provided by tools built for the way agents use them; and governance that maintains a complete audit trail of every action, according to the release. The company's Series A funding round follows a 2025 seed round in which it raised $12 million. It brings the company's total funding to $72 million. The latest round was led by SYN Ventures, with strategic investment from Morgan Stanley and Wipro, per the release. Jay Leek, managing partner at SYN Ventures and board director at Arcade, said in the release agents are now at the point where adoption has outrun the infrastructure that makes the technology safe. "Arcade is the only company we've seen that built for the production reality from day one, which is why every serious enterprise agent deployment is going to run through them," Leek said. Salazar said in a Friday (June 12) blog post that every enterprise is grappling with how to let agents act inside the company without losing control of what the agents do. "The answer is obvious now, and we have a two-year head start on everyone just starting to realize how big it is," Salazar said. "We're not slowing down. The $60 million is to accelerate: more tools, deeper governance, broader reach, and faster, more powerful releases, so no one can catch up."
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Arcade AI has raised $60 million in Series A funding led by SYN Ventures, with participation from Morgan Stanley and Wipro. The startup addresses a critical gap in AI agent infrastructure by providing authorization controls that verify what actions agents can perform on behalf of users. Founded in 2024, Arcade now has $72 million in total funding to scale its platform for enterprise AI agent deployments.
Arcade AI has secured $60 million in Series A funding led by SYN Ventures, with strategic investments from Morgan Stanley and Wipro
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. The round brings the company's total funding to $72 million following a $12 million seed raise in 20252
. Founded in 2024 by CEO Alex Salazar and CTO Sam Partee, who previously held senior product roles at Oka Inc. and Redis Inc. respectively, Arcade has positioned itself as the infrastructure layer solving a critical problem in enterprise AI agent deployments1
.
Source: PYMNTS
The authorization platform for AI agents built by Arcade tackles what Salazar identifies as the real reason AI agents fail in production environments. "Agents don't fail in production because the model is wrong," Salazar explained. "They fail because nobody can prove that for any given action by an agent, whether that agent on behalf of that user can perform that action on that resource. That's what we built"
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. While developers historically had to build custom authorization mechanisms for their AI agent projects, Arcade provides pre-packaged authorization features that reduce the need for custom code, saving time and avoiding bugs often associated with ad hoc cybersecurity guardrails1
.Arcade's secure action layer determines which AI agents can access specific application features by integrating with companies' identity provider systems
1
. An identity provider is a database that tracks application access permissions, and when records change, Arcade can modify AI agent permissions accordingly, eliminating the need for manual updates. The platform narrows the attack surface by authorizing only specific agent actions rather than granting round-the-clock access that hackers could exploit1
. The system performs authorization using the Oath 2.0 protocol, managing agents' access to applications through OATH tokens that function similarly to passwords1
.
Source: SiliconANGLE
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Arcade stores OATH tokens and encrypts them before sending them to storage, making it more difficult for hackers to decipher the data
1
. The platform includes a salting mechanism that mitigates cybersecurity risks associated with credentials that have identical plaintext values. Beyond authorization, Arcade enables companies to log the actions of agents powered by its platform and provides access to more than 8,000 MCP tools that those agents can use to automate work tasks1
. The secure action layer provides governance that maintains a complete audit trail of every action, ensuring reliability through tools built specifically for how agents use them2
.Jay Leek, managing partner at SYN Ventures and board director at Arcade, noted that AI agents have reached a point where adoption has outrun the infrastructure that makes the technology safe. "Arcade is the only company we've seen that built for the production reality from day one, which is why every serious enterprise agent deployment is going to run through them," Leek stated
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. Salazar emphasized that every enterprise is grappling with how to let agents act inside the company without losing control of what the agents do, claiming Arcade has a two-year head start on competitors2
. The company will use the new funding for product development, ecosystem growth, and hiring to support enterprise AI deployment as it scales from pilots to production workflows, with plans to expand its platform's agent governance features and MCP tool catalog1
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