Scale your agents
without losing control.

Spellguard is a control plane that secures how AI agents communicate and act. It verifies agent identity and checks every action against your policies before it runs.

Spellguard is a control plane that secures how AI agents communicate and act.

It verifies every agent's identity, checks each action against your policies before it happens, and blocks unsafe behavior, like sensitive data leaving your network or an agent gaining access it shouldn't have. Every interaction is recorded in a single audit trail.

The Problem

AI agents are shipping without accountability

Safety

A compromised agent can influence others before anyone notices

Traceability

No reliable record of which agent said what to whom

Governance

Policies that work for one agent don't apply to the next

The Solution

A secure execution layer for AI agents.

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Agent
Integrations

Connect the agent frameworks and models you already run. Spellguard enforces your policies whether one or both sides of a conversation use it.

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Verify every
agent identity

Every agent proves who it is and what configuration it's running before it communicates. Unverified agents don't get access.

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Define agent
behaviour rules

Set granular policies for what each agent can send, receive, and do. Least privilege, applied agent by agent.

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Block unsafe
agent actions

Actions that violate policy are stopped before they execute, whether that's sensitive data leaving your network or an agent reaching beyond its permissions.

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Track every
agent interaction

A complete audit trail of which agent did what, when, and why it was allowed or blocked.

Built for real-world agent stacks

Choose your backend

Policy engine

Spellguard works when one or both agents are using it

Connect to standard agent-to-agent protocols while maintaining full audits and policy enforcement on your end

Compatible with major cloud providers

Use your existing AI workflows and infrastructure while reaching your compliance needs

Define what "safe" means for each agent

Set rules for what agents can send and receive, and let Spellguard handle the real-time enforcement

Examples

What does secure mean in a multi-agent world?

Examples Include:

Verify agent identity and configuration before communication

Blocking sensitive data from leaving your network

Stopping attacks from spreading between agents

Granular access control for each agent

Activity

Today

Ok

Support Agent

10:50

Posted to #general

Allow

Github Bot

10:38

Approved #482 on acme-org/web

Flag

Triage Agent

10:29

Posted to #alerts

Allow

Release Bot

10:21

Digest to #releases on acme-org/web

Block

Support Agent

10:14

Posted to #alerts

Allow

Github Bot

10:02

Approved #479 on acme-org/api

Flag

Deploy Bot

09:58

Alerted #incidents on acme-org/api

Ok

Docs Agent

09:56

Posted to #support

Who is it for?

Centralize governance for agent communication across environments and deployments.

Platform & Infrastructure Teams

Build multi-agent systems quickly with Spellguard's security infrastructure.

AI Product Teams

Reduce operational risk while scaling agent autonomy.

Engineering leadership

Know exactly which agents are communicating, what they're saying, and whether they should be.

Security & Compliance Leaders

Centralize governance for agent communication across environments and deployments.

Platform & Infrastructure Teams

Build multi-agent systems quickly with Spellguard's security infrastructure.

AI Product Teams

Reduce operational risk while scaling agent autonomy.

Engineering leadership

Know exactly which agents are communicating, what they're saying, and whether they should be.

Security & Compliance Leaders

Centralize governance for agent communication across environments and deployments.

Platform & Infrastructure Teams

Build multi-agent systems quickly with Spellguard's security infrastructure.

AI Product Teams

Reduce operational risk while scaling agent autonomy.

Engineering leadership

Know exactly which agents are communicating, what they're saying, and whether they should be.

Security & Compliance Leaders

Centralize governance for agent communication across environments and deployments.

Platform & Infrastructure Teams

Build multi-agent systems quickly with Spellguard's security infrastructure.

AI Product Teams

Reduce operational risk while scaling agent autonomy.

Engineering leadership

Know exactly which agents are communicating, what they're saying, and whether they should be.

Security & Compliance Leaders

01 / 04

Experiences

Cut audit evidence collection for change management from 3 weeks to 4 days

Series C fintech

Attested 11,400+ agent commits in the first 90 days

AI-native dev-tools company

Identified that 31% of merged PRs had agent involvement

Series B healthtech platform

Cut audit evidence collection for change management from 3 weeks to 4 days

Series C B2B SaaS

Blocked 47 policy-violating agent commits pre-merge in Q1, including 6 with embedded credentials

pre-IPO payments infra company

Cut audit evidence collection for change management from 3 weeks to 4 days

Series C fintech

Attested 11,400+ agent commits in the first 90 days

AI-native dev-tools company

Identified that 31% of merged PRs had agent involvement

Series B healthtech platform

Cut audit evidence collection for change management from 3 weeks to 4 days

Series C B2B SaaS

Blocked 47 policy-violating agent commits pre-merge in Q1, including 6 with embedded credentials

pre-IPO payments infra company

Cut audit evidence collection for change management from 3 weeks to 4 days

Series C fintech

Attested 11,400+ agent commits in the first 90 days

AI-native dev-tools company

Identified that 31% of merged PRs had agent involvement

Series B healthtech platform

Cut audit evidence collection for change management from 3 weeks to 4 days

Series C B2B SaaS

Blocked 47 policy-violating agent commits pre-merge in Q1, including 6 with embedded credentials

pre-IPO payments infra company

Cut audit evidence collection for change management from 3 weeks to 4 days

Series C fintech

Attested 11,400+ agent commits in the first 90 days

AI-native dev-tools company

Identified that 31% of merged PRs had agent involvement

Series B healthtech platform

Cut audit evidence collection for change management from 3 weeks to 4 days

Series C B2B SaaS

Blocked 47 policy-violating agent commits pre-merge in Q1, including 6 with embedded credentials

pre-IPO payments infra company

01 / 05

Frequently asked Questions

Still unclear on something? Contact us

Most agents get provisioned once with broad access so they can handle whatever task comes up. Scoping permissions per action slows the build down, so nobody does it. The result is an agent that can reach far more data and systems than its actual job requires.

More on how agents end up over permissioned

You check the action, not just the identity. Spellguard evaluates every tool call and API request against policy at the moment it runs, so an agent cannot chain approved actions into access it was never granted.

More on privilege escalation and access control

Policy travels with the agent instead of living inside each API. Spellguard applies one rule set across every tool and service the agent touches, so a single definition of least privilege holds whether the agent calls one endpoint or twenty.

More on enforcing least privilege across tools

Agent outputs get inspected before they leave. Spellguard scans responses for credentials, PII and PHI and blocks the response when sensitive data appears, instead of surfacing the leak in a log review weeks later.

More on detecting sensitive data in agent outputs

Request a demo to see how Spellguard secures agent communication

Spellguard dashboard

Secure, auditable
agent-to-agent communication.