Scalekit Secures $5.5 Million to Power AI Agent Authentication
September 17, 2025, 9:37 pm
Scalekit launched its critical authentication stack for AI agents, securing $5.5 million in seed funding. Traditional identity systems, designed for human logins, are obsolete. The new wave demands verifying autonomous AI agents accessing business applications and APIs. Scalekit provides robust security. It verifies agent identities. It enforces precise, least-privilege access. This prevents breaches, which Gartner predicts will affect 25% of enterprises by 2028 due to compromised AI agents. Developers gain a vital toolkit. It integrates easily. Scalekit secures both incoming agent authentication and outgoing actions. It streamlines complex, secure agentic workflows. This platform establishes foundational infrastructure. It powers the next generation of enterprise software. It protects against emerging threats in the AI era.
A new era of software demands new security. Scalekit recently announced its answer: an authentication stack purpose-built for AI agents. The company secured $5.5 million in seed funding. Together Fund and Z47 led the round. Angel investors Adam Frankl, Oliver Jay, and Jagadeesh Kunda also contributed. This investment fuels a critical shift in how digital identities are managed.
For decades, software systems assumed human users. People logged in. They clicked through applications. This model is rapidly changing. The next wave involves AI agents. These agents invoke business apps and APIs. They act on behalf of users. Sometimes, they act autonomously. Current identity and access systems are ill-equipped for this paradigm. They struggle to prove agent identities. They cannot easily define agent permissions.
A significant security gap emerges. Gartner warns of impending threats. By 2028, a quarter of enterprise breaches will trace back to compromised AI agents. This forecast highlights the urgency. Today's identity systems still expect a human. They anticipate browser logins. They expect manual logouts. That model breaks down for AI agents. Agents spin up. They complete tasks. They then vanish. Developers face dilemmas. They often over-privilege agents. Or they build brittle, temporary solutions. Neither option is secure.
Scalekit directly addresses this challenge. Its platform verifies every agent's identity. It enforces precise, least-privilege access. This happens through a single, drop-in toolkit. Business applications must now allow authenticated agents. They cannot simply block bots. Scalekit sits at this vital intersection. It enables secure agent integration.
The founding team brings deep expertise. They previously built Freshworks’ authentication platform. There, they scaled authentication for over 50,000 businesses. This experience informs Scalekit's mission. The next challenge involves identities living in code. These are not in user directories. Scalekit delivers short-lived, scoped tokens. It provides plug-in tooling. This makes agentic workflows secure by design.
Scalekit secures both sides of agentic flows. It handles incoming authentication for Model Context Protocol (MCP) servers. It also manages outgoing agent actions to third-party tools. Teams building MCP servers can quickly add an OAuth 2.1 authorization server. This takes minutes. Agent builders can integrate an encrypted token vault. They get a powerful tool-calling layer. This enables agents to act on a user’s behalf. Integrations cover popular services like Gmail, Slack, HubSpot, and Notion. No custom token plumbing is needed.
The platform emphasizes modularity. It offers "à-la-carte" modules. Developers adopt only what they need. No forklift migration is required. This flexible model is appealing. Teams building AI-native applications are standardizing on Scalekit. Many SaaS apps also add agentic features.
While agent identity is a headline need, friction-free authentication for human users remains crucial. Scalekit offers this too. Modules include email magic links, two-factor OTPs, and single sign-on. Machine-to-machine service tokens are also available. These drop into an application in minutes. Developers can layer in user-to-agent delegated consent. Step-up approvals are also possible. This allows rapid deployment of agentic workflows.
Scalekit already powers several innovative companies. Fello, Sifthub, Napkin, Unstract, Hubbl, and Aerchain utilize the service. These firms represent AI-native solutions. They appreciate the simplified authentication. Scalekit eliminates months of complexity. It accelerates time to market. One customer, an AI-native sales solution provider, noted shipping in weeks, not months. Another integrated passwordless authentication without refactoring. This highlights the platform's flexibility.
Looking ahead, Scalekit plans further enhancements. Its agent-centric identity roadmap includes background agent support. Deeper tool-calling capabilities are also planned. Granular authentication logs will provide enhanced visibility. Prebuilt connectors for over 1,000 external applications are in development. This expansion solidifies Scalekit's position. It aims to be the foundational layer for AI agent security.
The emergence of AI agents as "first-class users" marks a profound shift. Current identity stacks cannot keep pace. Scalekit builds the missing infrastructure. This foundation will power countless agent identities. It protects against sophisticated threats. It secures the future of business applications. This investment represents confidence in a secure AI future. Scalekit leads the charge in this critical domain.
A new era of software demands new security. Scalekit recently announced its answer: an authentication stack purpose-built for AI agents. The company secured $5.5 million in seed funding. Together Fund and Z47 led the round. Angel investors Adam Frankl, Oliver Jay, and Jagadeesh Kunda also contributed. This investment fuels a critical shift in how digital identities are managed.
For decades, software systems assumed human users. People logged in. They clicked through applications. This model is rapidly changing. The next wave involves AI agents. These agents invoke business apps and APIs. They act on behalf of users. Sometimes, they act autonomously. Current identity and access systems are ill-equipped for this paradigm. They struggle to prove agent identities. They cannot easily define agent permissions.
A significant security gap emerges. Gartner warns of impending threats. By 2028, a quarter of enterprise breaches will trace back to compromised AI agents. This forecast highlights the urgency. Today's identity systems still expect a human. They anticipate browser logins. They expect manual logouts. That model breaks down for AI agents. Agents spin up. They complete tasks. They then vanish. Developers face dilemmas. They often over-privilege agents. Or they build brittle, temporary solutions. Neither option is secure.
Scalekit directly addresses this challenge. Its platform verifies every agent's identity. It enforces precise, least-privilege access. This happens through a single, drop-in toolkit. Business applications must now allow authenticated agents. They cannot simply block bots. Scalekit sits at this vital intersection. It enables secure agent integration.
The founding team brings deep expertise. They previously built Freshworks’ authentication platform. There, they scaled authentication for over 50,000 businesses. This experience informs Scalekit's mission. The next challenge involves identities living in code. These are not in user directories. Scalekit delivers short-lived, scoped tokens. It provides plug-in tooling. This makes agentic workflows secure by design.
Scalekit secures both sides of agentic flows. It handles incoming authentication for Model Context Protocol (MCP) servers. It also manages outgoing agent actions to third-party tools. Teams building MCP servers can quickly add an OAuth 2.1 authorization server. This takes minutes. Agent builders can integrate an encrypted token vault. They get a powerful tool-calling layer. This enables agents to act on a user’s behalf. Integrations cover popular services like Gmail, Slack, HubSpot, and Notion. No custom token plumbing is needed.
The platform emphasizes modularity. It offers "à-la-carte" modules. Developers adopt only what they need. No forklift migration is required. This flexible model is appealing. Teams building AI-native applications are standardizing on Scalekit. Many SaaS apps also add agentic features.
While agent identity is a headline need, friction-free authentication for human users remains crucial. Scalekit offers this too. Modules include email magic links, two-factor OTPs, and single sign-on. Machine-to-machine service tokens are also available. These drop into an application in minutes. Developers can layer in user-to-agent delegated consent. Step-up approvals are also possible. This allows rapid deployment of agentic workflows.
Scalekit already powers several innovative companies. Fello, Sifthub, Napkin, Unstract, Hubbl, and Aerchain utilize the service. These firms represent AI-native solutions. They appreciate the simplified authentication. Scalekit eliminates months of complexity. It accelerates time to market. One customer, an AI-native sales solution provider, noted shipping in weeks, not months. Another integrated passwordless authentication without refactoring. This highlights the platform's flexibility.
Looking ahead, Scalekit plans further enhancements. Its agent-centric identity roadmap includes background agent support. Deeper tool-calling capabilities are also planned. Granular authentication logs will provide enhanced visibility. Prebuilt connectors for over 1,000 external applications are in development. This expansion solidifies Scalekit's position. It aims to be the foundational layer for AI agent security.
The emergence of AI agents as "first-class users" marks a profound shift. Current identity stacks cannot keep pace. Scalekit builds the missing infrastructure. This foundation will power countless agent identities. It protects against sophisticated threats. It secures the future of business applications. This investment represents confidence in a secure AI future. Scalekit leads the charge in this critical domain.