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According to a company press release, Manifold has announced the close of an $8 million seed funding round. The funds will be used to fuel the development of the company’s AI Detection and Response (AIDR) platform, designed to protect companies from the risks of expanding autonomous AI usage across enterprise endpoints.
The startup recognized a developing blind spot in the market: first-generation AI security tools have not scaled to handle AI agents that act rather than merely talk.
The financing arrives during a period of exploding AI adoption. Approximately 85% of developers already rely on coding agents like Github Copilot, and this trend is poised to expand to all knowledge workers. These agents operate autonomously with broad access to source code, production systems, and CI/CD pipelines, creating a new attack surface that traditional security tools struggle to monitor. Existing endpoint detection and response (EDR) tools often mistake legitimate developer activity for malicious behavior, leading security teams to grant exceptions that leave the organization vulnerable to threats from AI agents.
The company’s platform is built to solve this specific problem. It provides full runtime visibility into what AI agents actually do on the endpoint. Instead of focusing on text prompts and model outputs like first-generation AI security tools, the system monitors the actions agents take—the tools they call, the systems they access, and the commands they execute. The platform creates a real-time map of every agent in the environment, their connections to databases and external systems, and flags anomalies the moment behavior drifts. For the first time, security teams can see what’s happening, define normal activity, and recognize risky behavior in real-time.
A key advantage of the solution is that it is agentless, meaning it deploys in days by leveraging existing infrastructure without requiring new architecture, gateways, or proxies. This frictionless approach enables enterprises to securely embrace agentic AI at scale without waiting for complex security deployments. As agent adoption spreads beyond developers to every job role, the need for such visibility and control will become increasingly critical for maintaining organizational security.
