AI Security suite

AI security, anchored
in hardware

Try it now
A close-up of a laptop screen displaying a login interface with a scenic background. A hand is preparing to type on the keyboard. Icons for Crowdstrike, Kandji, and Intune are visible at the bottom, indicating security and management features related to Device trust and MFA.A close-up view of a laptop keyboard with a display showing statistics related to device misconfigurations. Key data includes total devices, active status, and pending configurations, emphasizing security aspects like MFA and device trust.
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Eliminate the new attack surface

Block AI-powered credential theft and phishingGPT's with passwordless, device-bound authentication that cryptographically ties every login to a specific device.

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See your entire AI ecosystem

Prevent compromised devices from accessing resources, committing code, or building with AI agents.

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Prevent unauthorized agent actions

Identify deepfake attacks in real-time by continuously verifying both the user and their device during meetings and chats.

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Audit and provenance

Secure non-human identities and AI agents with the same device-bound authentication and continuous posture verification applied to human users.

Hardware-bound

Hardware-bound agent identity

Eliminate credential and API key sprawl. Keys never leave hardware.

MCP Discovery

MCP server discovery
& control

Map and control every MCP server across your environment. Enforce which servers are allowed, what they can do, and who can invoke them.

continuous enforcement

Continuous posture verification

Autonomous trust enforced continuously. Evaluate the security posture of every agent and device.

activity details

Agent activity tracing

Log the complete identity chain for every agent transaction: which agent, which device, which tool, which user.

granular policies

Policy-based tool authorization

Define granular policies controlling which agents can invoke which tools and access what data based on device posture, user identity, and organizational role.

Built to protect every agent,
on every device

AI agents run everywhere. Traditional security was not designed for non-human identities that act autonomously.

A bar chart titled 'Risky Events Blocked by Policy Rules' displaying the number of blocked risky events per policy rule. The y-axis shows the count of blocked events, reaching over 60, while the x-axis lists policy rules numbered from 8 to 19, with varying counts indicated for each.

Understand your AI attack surface

Catalog every agent: what it does, where it runs, what tools it uses, who it acts for. Visualize relationships between AI agents, users, MCP servers, and data sources.

A flowchart detailing user group settings, showing ‘Executive User Group’ with a checkmark, and three items below: ‘Biometric Enabled,’ ‘OS Version’ with an Apple logo, and ‘Crowdstrike’ with an indicator. Keywords include Device trust, MFA, TPM, and Identity Defense.

Build the foundation for what's next

AI security is evolving. Soon you will need to answer "what data influenced this decision." Hardware-anchored identity is the foundation for context-aware security.

A dashboard displaying risk assessment metrics by users. Categories include 'Biometric not set', 'High frequency authentication', 'Antivirus off', 'FileVault disabled', with a warning indicator for 'Jailbroken' and 'Anomalous authentication'.

Ensure agents only run on trusted devices

Apply device trust verification to agent infrastructure. Managed or unmanaged, cloud or on-prem, every device must meet your posture requirements.