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Manifold

Manifold offers a runtime security platform that continuously monitors autonomous AI agents on enterprise endpoints, detecting unauthorized tool usage, command execution, and data access. It visualizes privilege paths and delegation chains, applies policy controls, and provides automated response actions to enforce compliance and reduce exposure risks.

New York, United StatesFounded 202524700+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises are deploying autonomous AI agents on endpoint devices that can call tools, execute commands, and access sensitive data without supervision. Traditional endpoint detection and response (EDR) solutions do not monitor the behavior of these agents, leaving a blind spot for unauthorized tool usage and data exposure.

Solution

Manifold provides a runtime security platform that continuously monitors AI agents on endpoints, detecting unauthorized tool invocations, command execution, and data access. The platform maps privilege paths and delegation chains to surface exposure risks and applies policy controls to enforce compliance. It delivers real‑time detection and automated response capabilities, allowing security teams to intervene when agents act outside approved parameters. Manifold also incorporates supply‑chain intelligence for AI model servers and plugins, extending visibility into third‑party components that agents may leverage.

Target Audience

Primary customers are enterprise security teams—including CSOs, CIOs, and endpoint protection managers—who need visibility and control over autonomous AI agents operating on corporate devices.

Features

  • Continuous discovery of AI agents running on endpoints with inventory of their capabilities and integrations
  • Risk and exposure analysis that visualizes privilege paths, delegation chains, and capability combinations
  • Real‑time detection of unauthorized tool calls, command execution, and data access by agents
  • Automated response actions, including policy enforcement, session termination, and alerting
  • Integration hooks for existing security stacks and SIEMs to correlate agent activity with broader threat data
  • Supply‑chain intelligence for AI model servers (MCP) and third‑party plugins to identify hidden risks
This profile is AI-generated and may contain inaccuracies.