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AI Security for the Age of Autonomous Systems

Secure AI agents and MCP toolchains with cryptographic identity. Smallstep replaces API keys and implicit trust with short-lived, hardware-backed certificates that prove what is acting, where it runs, and what it’s allowed to access.

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The AI Security Problem

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Non-human actors

AI agents, MCP clients, MCP servers, and model runtimes act independently of users.

Cross-platform coverage

Tool aggregation risk (MCP)

MCP servers aggregate powerful internal tools and data behind a single interface, increasing blast radius.

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Unverifiable access

No cryptographic proof of which device, workload, or MCP endpoint initiated a request.

Credential sprawl

API keys and tokens end up embedded in code, prompts, notebooks, pipelines, and CI logs.

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Invisible lateral movement

Models call MCP servers. MCP servers call tools. Tools call internal APIs and data stores.

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Shadow AI access

Unmanaged devices silently gain access to AI tools and MCP-exposed services.

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Hardware-Bound Trust

ACME device attestation establishes cryptographic trust anchored directly in hardware. Devices prove their identity using secure elements such as TPMs or Secure Enclaves before certificates are issued, eliminating reliance on reusable secrets. This ensures only verified, uncompromised devices can authenticate, even in zero-trust and automated environments.

Device Identity Platform

Identity Control Plane

The identity control plane centralizes how devices, workloads, and services are identified, authenticated, and authorized. It replaces fragmented credential handling with a single system of record for cryptographic identity, policy, and lifecycle enforcement. This enables consistent trust decisions across infrastructure, automation, and emerging AI-driven systems.

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Transparent Authentication

Selective ZTNA enables access decisions without interrupting users or workflows. Authentication occurs continuously and contextually, based on device identity, posture, and policy, rather than explicit login events. This allows access controls to remain enforced while reducing friction for users and automated systems alike.

API keys break in autonomous AI systems

AI agents and MCP toolchains rely on portable, long-lived secrets. API keys cannot prove execution context, cannot be scoped to devices or workloads, and cannot be trusted once copied or reused.

API Keys Certificates
Credential lifetime
Long-lived
Short-lived
Portability & theft risk
Copyable
Copyable Non-exportable
Identity provenance
No provenance
Cryptographically verifiable
Rotation
Hard to rotate
Automatically rotated
System model alignment
Human-centric
AI and MCP ready

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Integrates with your existing security stack

The platform integrates with existing identity providers, infrastructure, and security tooling, including AI runtimes and MCP-based systems. It extends cryptographic identity and policy enforcement to agents, tools, and automated workflows without requiring architectural replacement. This allows trust controls to remain consistent as execution shifts from users and services to autonomous systems.

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The Foundation for Secure AI

AI systems are becoming autonomous participants in your infrastructure. Security must evolve from who logged in to what is acting. Smallstep provides the cryptographic identity layer that makes AI and MCP security real.

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FAQs about AI security and autonomous systems

AI security for autonomous systems is the practice of cryptographically verifying the identity, execution context, and authorization scope of AI agents, MCP servers, and non-human workloads before they access internal tools or data.

Unlike traditional user-based security, autonomous AI systems require:

  • Strong non-human identity
  • Short-lived credentials
  • Hardware-backed proof of origin
  • Continuous authentication

Smallstep secures AI agents and MCP toolchains using cryptographically verifiable, hardware-bound certificates, replacing long-lived API keys with short-lived, attested credentials.

API keys break in autonomous AI environments because they are:

  • Long-lived
  • Portable and copyable
  • Not bound to a specific device
  • Not tied to execution context
  • Difficult to rotate safely

Once copied, an API key can be reused indefinitely and impersonate the original agent.

Smallstep replaces API keys with short-lived, hardware-bound certificates that:

  • Cannot be exported
  • Are automatically rotated
  • Prove device identity
  • Align with zero trust principles

This makes AI workloads cryptographically accountable and non-portable

Hardware-bound trust means that cryptographic credentials are generated inside a device’s secure element (TPM or Secure Enclave) and cannot be extracted or reused elsewhere.

For AI agents and MCP servers, this provides:

  • Proof of device identity
  • Non-exportable private keys
  • Strong resistance to credential theft
  • Protection against lateral movement
  • Smallstep uses hardware-backed key storage and attestation so only verified devices can access internal APIs and tools.

ACME Device Attestation (ACME DA) is a certificate enrollment standard that allows devices to cryptographically prove their identity using hardware-backed keys before receiving credentials.

Unlike legacy SCEP-based enrollment, ACME DA:

  • Eliminates shared secrets
  • Prevents phishing-based device enrollment
  • Verifies TPM or Secure Enclave identity
  • Supports zero-touch provisioning

Smallstep worked with Google at the IETF to help define ACME DA and implements it across Apple, Windows, Linux, and ChromeOS platforms.

Smallstep secures AI agents and MCP servers by:

  • Verifying the device using hardware attestation
  • Issuing short-lived certificates instead of API keys
  • Binding credentials to secure elements
  • Enforcing identity-based access control
  • Automatically rotating credentials

This ensures:

  • Agents can only access authorized tools
  • Stolen credentials are useless
  • Execution context is cryptographically provable
  • Security policies remain enforceable in automated environments

An Identity Control Plane centralizes certificate issuance, device identity, policy enforcement, and resource protection across infrastructure.

In AI and autonomous systems, an identity control plane:

  • Replaces fragmented key management
  • Enforces policy at enrollment and access time
  • Automates credential lifecycle
  • Bridges device identity and user identity

Smallstep’s Identity Control Plane replaces API-key sprawl with cryptographic identity infrastructure built for AI-native environments.

Smallstep integrates with:

  • Identity providers (Okta, Entra ID, Google Workspace)
  • MDM platforms (Jamf, Intune, Workspace ONE)
  • Wi-Fi (802.1X / EAP-TLS)
  • VPN and ZTNA systems
  • RADIUS servers
  • Cloud APIs (AWS, GCP, Azure)
  • SSH and Git workflows

Rather than replacing your stack, Smallstep strengthens it by adding device-bound cryptographic identity as an enforcement layer.

Smallstep addresses critical AI-era risks:

  • Tool aggregation risk in MCP servers
  • Credential sprawl across agents
  • Invisible lateral movement
  • Shadow AI access
  • Non-verifiable endpoints
  • Long-lived secrets embedded in code

By issuing short-lived, hardware-bound certificates, Smallstep ensures:

  • Every agent request is verifiable
  • Credentials cannot be reused on another device
  • Access policies remain enforceable
  • Zero trust principles extend to non-human actors

Smallstep uses continuous, context-aware authentication based on:

  • Device identity
  • Hardware attestation
  • Certificate validity
  • Policy alignment
  • Execution context

Authentication is seamless to the end user or system — but cryptographically strict under the hood.

This reduces friction while maintaining enforcement across automated systems and AI workloads.

Traditional PKI systems like AD CS:

  • Rely on SCEP with shared secrets
  • Lack hardware attestation
  • Use long-lived certificates
  • Are difficult to automate at AI scale

Do not align with modern zero trust models

Smallstep:

  • Implements ACME DA
  • Uses hardware-bound keys
  • Issues short-lived, automatically rotated certificates
  • Supports distributed high-availability CA architecture
  • Works across Apple, Windows, Linux, and ChromeOS
  • Is designed for AI agents, MCP toolchains, and autonomous systems

It is modern certificate infrastructure built for AI-native security.