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
The Solution
A secure execution layer for AI agents.
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
Support Agent
Posted to #general
10:50
Posted to #general
Github Bot
Approved #482
10:38
Approved #482 on acme-org/web
Triage Agent
Posted to #alerts
10:29
Posted to #alerts
Release Bot
Digest to #releases
10:21
Digest to #releases on acme-org/web
Support Agent
Posted to #alerts
10:14
Posted to #alerts
Github Bot
Approved #479
10:02
Approved #479 on acme-org/api
Deploy Bot
Alerted #incidents
09:58
Alerted #incidents on acme-org/api
Docs Agent
Posted to #support
09:56
Posted to #support
Who is it for?
Centralize governance for agent communication across environments and deployments.
Build multi-agent systems quickly with Spellguard's security infrastructure.
Reduce operational risk while scaling agent autonomy.
Know exactly which agents are communicating, what they're saying, and whether they should be.
Centralize governance for agent communication across environments and deployments.
Build multi-agent systems quickly with Spellguard's security infrastructure.
Reduce operational risk while scaling agent autonomy.
Know exactly which agents are communicating, what they're saying, and whether they should be.
Centralize governance for agent communication across environments and deployments.
Build multi-agent systems quickly with Spellguard's security infrastructure.
Reduce operational risk while scaling agent autonomy.
Know exactly which agents are communicating, what they're saying, and whether they should be.
Centralize governance for agent communication across environments and deployments.
Build multi-agent systems quickly with Spellguard's security infrastructure.
Reduce operational risk while scaling agent autonomy.
Know exactly which agents are communicating, what they're saying, and whether they should be.
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 permissionedYou 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 controlPolicy 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 toolsAgent 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 outputsRequest a demo to see how Spellguard secures agent communication
