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Frontier AI security infrastructure

The frontier AI
security company.

Govern and secure AI across your organization. As capability advances, control must keep pace.

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Black and white Go stones rendered in cut paper and ink, with a narrow white boundary between them.

Our product / Reagent by Zaun

Govern the AI
already here.

Discover what is running, control what it can do, and keep its spend within your limits.

Find the AI.
No sensors to install.

Discover AI use across browsers, endpoints, networks, identity providers, and cloud. Connect the systems you already run to one AI inventory.

  • Use existing signals, with no new sensors
  • Connect tools and agents to people and access
  • Reveal AI use across your environment
Discover AI through the systems you already runFive paper layers cycle automatically: LayerX observes browser AI use, CrowdStrike observes local agents, Palo Alto Networks observes AI service traffic, Okta observes sign-ins, and AWS observes cloud model activity. Each layer shows an example AI tool and its observing source.CloudClaude on BedrockModel endpointIdentity providerChatGPTEmployee sign-inNetworkGitHub CopilotAI service trafficEndpointsClaude CodeLocal agentBrowsersChatGPTBrowser session
  1. Connect signals
  2. Reveal AI use
  3. Review access

Your existing signals, one AI inventory

Browsers, endpoints, network, identity, and cloud

Set the boundary.
Keep work moving.

Control known risks with regex and functions. Govern access to tools and data, then evaluate AI behavior against your security policy.

  • Static rules for patterns and function checks
  • Access policies for tools, data silos, and folders
  • Semantic checks for dangerous AI behavior
  1. Observe behavior
  2. Apply policy
  3. Contain activity

From precise rules to AI behavior

Patterns, data access, and security policy

AI spend is now
a security responsibility.

Set AI spend limits by tool, department, and person. Reduce waste across subscriptions and agent workflows, and route model use to fit the task.

  • Cap spend at the level you need
  • Review duplicate seats and agent startup context
  • Recommend reusable skills and better model routes
  1. Record usage
  2. Hold at limit
  3. Route for less

Put a limit on waste

Spend caps, seat overlap, context, skills, and routing

See Reagent with your tools.

Book a demo

Coverage and controls depend on connected sources and permissions.

Think several
moves ahead.

Frontier AI to
control frontier AI.

Superintelligence could outpace the systems we use to understand and control it. We believe governing that capability will require frontier AI of its own. Zaun is researching how such systems could evaluate, challenge, and help constrain increasingly capable models.

Explore our research

Case study / National Audubon Society

How security became the AI acceleration team.

Read the case study

Explore the indexes.

The people
behind the work.

Meet the founders building Zaun.

Meet the team
Woo An

Woo An

Cofounder & CEO

Deployed AI decision systems for the DoD at Palantir and led ML cybersecurity insider threat products.

Palantir
Tyler Lalicker

Tyler Lalicker

Cofounder & CTO

Researcher and engineer for Securonix's first LLM product and worked in security operations for over a decade.

Securonix