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VeriKnox

VeriKnox provides an identity and runtime control plane for autonomous AI agents, enforcing governance policies before actions execute and generating tamper-evident, audit-grade evidence for every governed action. The platform unifies agent identity lifecycle management, real-time policy decisions with allow/warn/block outcomes, and spend governance across tenants, sites, agents, providers, and models. It is designed for enterprises scaling agentic AI operations that require verifiable accountability for legal, compliance, and board review.

Traction –/10
Redwood City, United States · HQ
310+ followers
  • Regulatory & Compliance Technology
  • Artificial Intelligence
  • AI Agents
  • Cybersecurity
  • Enterprise Software
  • Software Only
Updated 5 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

As enterprises scale autonomous AI agent operations, high-risk actions can execute before governance intervenes, spend expands faster than ownership and accountability can keep pace, and conventional logs fall short of what legal, audit, and board stakeholders require. Without a dedicated control layer, teams lack verifiable identity, runtime policy enforcement, and tamper-evident evidence for agent activities.

Solution

VeriKnox delivers a single control plane for governing agent identity, runtime decisions, and spend. The platform issues verifiable agent identities with enforced lifecycle states, allowing organizations to contain compromised agents quickly. Every governed action is evaluated in real time against policy, with allow, warn, or block outcomes enforced before execution. Each action is tied to a verifiable agent identity and a tamper-evident record, producing audit-grade evidence suitable for legal, compliance, and board review. Spend governance controls cost growth through policy thresholds by tenant, site, agent, provider, and model.

Target Audience

Primary customers are enterprises building and deploying autonomous AI agents who need governance, identity, and audit-grade evidence for scaling agentic operations with confidence. The platform targets teams across regulated industries requiring policy enforcement and spend control across agent deployments.

Features

  • Identity and trust lifecycle management for establishing verifiable agent identity, enforcing lifecycle state, and containing compromised agents
  • Real-time runtime policy decisions that evaluate every governed action and enforce allow, warn, or block before execution
  • Spend governance with policy thresholds across tenant, site, agent, provider, and model dimensions
  • Tamper-evident, audit-grade evidence records linked to verifiable agent identities for every action
  • Single control layer integrating identity, runtime decisions, and spend governance into one platform
This profile is AI-generated and may contain inaccuracies.