Scalekit has secured $5.5 million in seed funding and launched its authentication stack for AI agents. The funding round was led by Together Fund and Z47, with additional angel investors including Adam Frankl, Oliver Jay, and Jagadeesh Kunda. The AI authentication stack will help enterprises manage secure agent identities and access controls.

For decades, enterprise software relied on humans to log in and log out manually. However, the rise of AI agents is reshaping this model. Today, agents initiate workflows, interact with APIs, and complete tasks automatically. As a result, enterprises face growing challenges in authentication and access management.

Addressing the Identity Gap for AI Agents

Scalekit developed its authentication stack to solve the identity challenges of agent-driven workflows. Current systems assume human interaction, but AI adoption requires agent-specific authentication. Gartner predicts that by 2028, 25% of enterprise breaches will stem from compromised AI agents. This highlights the urgent need for advanced identity solutions.

“Software previously focused on blocking bots. Now, enterprises must securely allow authenticated agents and manage precise data access,” said Satya Devarakonda, co-founder and CEO of Scalekit. He added that Scalekit delivers both verification and least-privilege access controls through a single integrated toolkit.

Investors also stressed the importance of this shift. “AI agents are becoming first-class software users, but identity systems lag behind,” said Girish Mathrubootham, Founding Partner at Together Fund. “Scalekit identified this early and built infrastructure for secure agent identities.”

Features and Capabilities

Scalekit provides authentication across both human and agent workflows. The stack secures incoming authentication for MCP servers and outgoing agent actions across third-party applications. Developers can integrate an OAuth 2.1 authorization server in minutes and use an encrypted token vault to manage agent actions in Gmail, Slack, HubSpot, and Notion.

“After scaling identity for 50,000 businesses at Freshworks, we saw the next challenge agent identities embedded in code,” said Ravi Madabhushi, co-founder and CTO. “Scalekit provides scoped tokens and tooling to enable secure workflows.”

The solution also supports human authentication needs. It offers passwordless login, OTP-based authentication, SSO, and machine-to-machine tokens. Developers can add delegated consent and step-up approvals without full system migrations.

Adoption and Customer Feedback

Several AI-native businesses have adopted Scalekit. Companies including Fello, Sifthub, Napkin, Unstract, Hubbl, and Aerchain now use Scalekit to manage authentication.

“We needed authentication that worked out-of-the-box so we could focus on AI features,” said Harsh Vakharia, head of technology at Sifthub. “Scalekit simplified months of complexity into weeks.”

Similarly, Fello integrated Scalekit’s passwordless module without refactoring. “That lego-like flexibility enabled us to go live in two weeks,” said Suman Varanasi, CTO of Fello.

Roadmap and Future Plans

Scalekit plans to expand its agent-centric roadmap with background agent support, deeper tool integrations, granular authentication logs, and connectors for over 1,000 applications. This roadmap positions Scalekit to become the identity backbone for enterprise AI adoption.

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News Source: Globenewswire.com