Defakto has secured $30.75 million in Series B funding led by XYZ Venture Capital to address a critical enterprise security bottleneck: non-human identities now outnumber employees 45:1, yet most organizations still rely on static credentials that create massive attack surfaces for AI agent deployments.

The fundamental problem is architectural—legacy identity systems designed for human users can’t handle the scale and dynamism of modern AI agent infrastructure, where services, workloads, machines, pipelines, and AI agents need secure authentication without exposing static secrets.

Keycard’s $38 million in combined seed and Series A funding addresses a critical bottleneck emerging as enterprises deploy AI agents at scale: how to securely authenticate thousands of temporary agents without creating massive credential sprawl.

The identity infrastructure startup, emerging from stealth with backing from Andreessen Horowitz and Acrew Capital, tackles what co-founder Ian Livingstone calls the “CircleCI problem” for AI agents—the exponential complexity of managing credentials when software needs to connect across applications and companies at unprecedented scale.

Enterprise AI startup Serval has raised $47 million in Series A funding to scale its dual-agent approach to IT service management automation, addressing a critical bottleneck constraining AI adoption in enterprise operations.

Led by Redpoint Ventures with participation from First Round, General Catalyst, and Box Group, the funding brings Serval’s total raised to $52 million since founding in 2024. The company has already attracted notable AI-native customers including Perplexity, Together AI, Mercor, and Verkada, who report automating over 50% of their IT tickets through the platform.

U.S. consumers lost $12.5 billion to scams in 2024, a 25% year-over-year increase. As AI agents begin conducting transactions and managing accounts on behalf of users, this staggering fraud statistic reveals a critical infrastructure gap that traditional authentication methods can’t address. Glide Identity’s $20+ million Series A, led by Crosspoint Capital Partners, signals a recognition that the window to solve agent authentication is closing fast.

The company’s timing reflects an urgent reality: as we approach AGI, securing human identity—and the AI agents acting on our behalf—becomes the most critical infrastructure challenge of our time.

Descope closed an $88 million seed round extension, bringing total funding to $88 million as the drag-and-drop external IAM platform positions itself at the center of enterprise AI agent deployment infrastructure.

Founded by the team behind Demisto (acquired by Palo Alto Networks), Descope addresses a critical bottleneck emerging across enterprise AI initiatives: how to securely manage identity and access for AI agents, MCP servers, and autonomous systems at scale. The extension round, available exclusively to existing investors including Notable Capital, Lightspeed Venture Partners, and Dell Technologies Capital, validates enterprise demand for purpose-built identity infrastructure as organizations move beyond AI pilots toward production deployments.

Workato today launched the industry’s first fully managed enterprise Model Context Protocol (MCP) platform, backed by partners including Anthropic, AWS, Atlassian, and Box. The release directly targets the security and governance bottleneck that has prevented organizations from deploying AI agents at scale.

While MCP has emerged as a promising standard for connecting AI agents to business applications, the thousands of available open-source MCP servers lack the enterprise-grade controls required for production environments. This has created a critical infrastructure gap, trapping many agentic AI initiatives in the pilot phase.

Zenity secured $38 million in Series B funding led by Third Point Ventures and DTCP, bringing total capital raised to over $55 million as enterprises grapple with a fundamental infrastructure bottleneck: securing AI agents at scale.

The timing reflects a critical enterprise adoption paradox. While Forbes reports over 51% of companies actively use AI for process automation and Microsoft notes daily Copilot usage has nearly doubled quarter-over-quarter, only 11% of CIOs have fully implemented AI according to Salesforce research. The primary constraint isn’t technological capability—it’s security infrastructure.

Obot AI raised $35 million in seed funding to tackle the enterprise AI agent access management bottleneck that’s blocking large-scale AI deployment. Co-led by Mayfield Fund and Nexus Venture Partners, the investment targets the Model Context Protocol (MCP) Gateway infrastructure that enterprises need to safely connect AI agents with sensitive business systems.

The funding addresses a fundamental infrastructure gap: while AI agents proliferate across enterprises, organizations lack centralized governance tools to manage how these agents access APIs, databases, and business applications. Obot’s open-source MCP Gateway provides the missing control plane for enterprise AI agent deployments.

Gartner predicts that by 2028, one in four enterprise breaches will trace back to compromised AI agents. Yet today’s identity systems still assume browser logins and manual logouts—a fundamental mismatch as autonomous agents begin invoking business applications at scale.

Scalekit, founded by the team behind Freshworks’ authentication platform, just secured $5.5 million in seed funding to build the missing authentication infrastructure for AI agents. The round was led by Together Fund and Z47, positioning the startup to address what may become the most critical security bottleneck in enterprise AI deployment.

AirMDR launched the industry’s first multi-tenant agentic AI SOC platform on August 4, 2025, automating over 90% of Tier-1 alert triage while offering a “Free Forever” plan to eliminate adoption barriers. The announcement at Black Hat USA 2025 signals a fundamental shift from manual security operations to autonomous AI-driven threat detection and response.

The timing reflects a critical infrastructure crisis: security teams face an overwhelming surge of alerts while struggling with a global shortage of qualified SOC analysts. Traditional approaches require extensive playbook coding and six-figure budgets, leaving organizations vulnerable or forcing them to hire analysts they can’t find or afford.

Noma Security has secured $100 million in Series B funding less than nine months after its founding, marking one of the fastest enterprise AI security funding rounds as organizations urgently address the security implications of autonomous AI agent deployment.

The Tel Aviv-based company’s extraordinary growth trajectory—1,300% ARR increase within its first year—reflects rising enterprise demand for AI agent security governance as CISOs grapple with managing thousands of AI models and millions of prompts flowing through corporate environments daily.

Cline has raised $32M in combined Series A and Seed funding led by Emergence Capital, as the open-source AI coding agent addresses a critical enterprise bottleneck: how to deploy AI development tools without compromising security or falling into vendor lock-in.

The funding comes as Zero Trust enterprises increasingly face a binary choice—use Cline’s privacy-first architecture or abandon AI coding assistance entirely. Traditional cloud-based coding tools that route code through external servers simply cannot pass enterprise compliance reviews.

While the AI community debates whether agents are overhyped, a quieter story is unfolding in enterprise infrastructure. E2B, a company providing sandboxed cloud environments for AI agents, just raised $21 million in Series A funding led by Insight Partners. More telling than the funding amount is this statistic: 88% of Fortune 100 companies are already using E2B’s platform.

This isn’t another AI agent demo or research breakthrough. It’s evidence that the real challenge in agent deployment has shifted from “can agents work?” to “how do we safely run them at scale?”