Universal control plane for securing, verifying, and governing agent interactions.
The Problem
The Solution
Built for real-world agent stacks
Choose your backend
Policy engine
Connect to standard agent-to-agent protocols while maintaining full audits and policy enforcement on your end
Use your existing AI workflows and infrastructure while reaching your compliance needs
Set rules for what agents can send and receive, and let Spellguard handle the real-time enforcement
Examples
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
Today
Github Bot
Approved #482
10:38
Approved #482 on acme-org/web
Agent Name
Posted to #general
10:50
Posted to #general
Agent Name
Posted to #general
10:50
Posted to #general
Github Bot
Approved #482
10:38
Approved #482 on acme-org/web
Agent Name
Posted to #alerts
10:29
Posted to #alerts
Github Bot
Approved #481
10:21
Approved #481 on acme-org/web
Agent Name
Posted to #alerts
10:14
Posted to #alerts
Github Bot
Approved #479
10:02
Approved #479 on acme-org/api
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.
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

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