Jozu Agent Guard
Zero-trust governance platform for AI agents, MCP servers, and models.
Jozu Agent Guard
Zero-trust governance platform for AI agents, MCP servers, and models.
Data verified Jun 2026
ADYour product here. Reach security decision-makers.Launch a campaignJozu Agent Guard Description
Agentic AI Security
MCP Security
LLM Guardrails
AI Governance
Supply Chain Security
Prompt Injection
Runtime Security
Software Supply Chain
Policy
Zero Trust Architecture
Jozu Agent Guard is a governance and enforcement platform for AI agents, MCP (Model Context Protocol) servers, and AI models. It applies policy controls at two phases: admission time (before deployment) and runtime (during execution), using a single policy engine and policy language throughout. Core capabilities include: - Supply chain scanning: Agents, MCP servers, and models are scanned for vulnerabilities, prompt injection susceptibility, backdoors, and content safety issues. Results are attached as cryptographically signed attestations. - Artifact signing and verification: All AI artifacts (agents, MCP servers, models) are cryptographically signed and stored as OCI-compliant ModelKits in Jozu Hub. - Admission-time policy (ArtifactPolicy): Gates deployment by evaluating signature requirements, scan thresholds, and provenance checks before any artifact reaches an environment. - Runtime tool access control (ToolPolicy): Declarative per-tool, per-agent, per-user access control on individual MCP tool invocations, not just at the server or prompt level. - Guardrail orchestration (GuardrailPolicy): Policy-driven thresholds for prompt injection protection, content safety, PII detection, and toxicity filtering, configurable per role and environment. - Human-in-the-loop: High-risk actions (destructive operations, financial transactions, sensitive data access) pause agent workflows and require user confirmation via MCP elicitation protocol. - Cryptographically chained audit logging: Every policy decision is logged with full context and tamper-evident chaining. Logs operate disconnected and sync to Jozu Hub when reconnected. - Local/disconnected enforcement: Policies are packaged as OCI artifacts alongside agents and enforced locally on laptops, edge devices, and air-gapped networks without connectivity to a central control plane. - Cost metering: Tracks token consumption, compute usage, and tool invocation counts across agents and environments, tied to the policy engine. - MCP Registry API: Provides an MCP server registry for IDEs including VS Code, Cursor, and Claude Desktop.
Jozu Agent Guard FAQ
Common questions about Jozu Agent Guard including features, pricing, alternatives, and user reviews.
Jozu Agent Guard is Zero-trust governance platform for AI agents, MCP servers, and models, developed by Jozu. It is a Security for AI solution designed to help security teams with Agentic AI Security, MCP Security, LLM Guardrails.
Jozu Agent Guard offers the following core capabilities:
1.Two-phase policy enforcement (admission-time ArtifactPolicy and runtime ToolPolicy/GuardrailPolicy)
2.Supply chain scanning with signed attestations for agents, MCP servers, and models
3.Cryptographic signing of all AI artifacts stored as OCI-compliant ModelKits
4.Declarative per-tool, per-agent, per-user runtime tool access control
5.Guardrail orchestration for prompt injection, content safety, PII detection, and toxicity filtering
6.Human-in-the-loop workflow pausing for high-risk actions via MCP elicitation protocol
7.Cryptographically chained, tamper-evident audit logging with disconnected operation
8.Local policy enforcement without central control plane dependency (air-gap and edge support)
9.Cost metering for token consumption, compute usage, and tool invocation counts
10.MCP Registry API for IDE integration
Jozu Agent Guard integrates natively with VS Code, Cursor, Claude Desktop, OCI registries. Integration support lets security teams connect Jozu Agent Guard to existing SIEM, ticketing, identity, and notification systems without custom development.
Jozu Agent Guard is built for security teams handling Agentic AI Security, MCP Security, LLM Guardrails, AI Governance. It supports workflows including two-phase policy enforcement (admission-time artifactpolicy and runtime toolpolicy/guardrailpolicy), supply chain scanning with signed attestations for agents, mcp servers, and models, cryptographic signing of all ai artifacts stored as oci-compliant modelkits. Teams typically adopt Jozu Agent Guard when they need to security for ai capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/jozu-agent-guard
Jozu Agent Guard is a commercial Security for AI solution. For detailed pricing information, visit https://jozu.com/agent-guard/ or contact Jozu directly.
Popular alternatives to Jozu Agent Guard include:
1.CodeIntegrity AARM Platform - Runtime control plane that mediates & governs AI agent actions before execution. (Commercial)
2.Autonomous Security - Endpoint security platform for governing and securing AI agents and MCP servers. (Commercial)
3.Highflame Platform - AI agent security platform with guardrails, governance, and observability. (Commercial)
4.Onyx Platform - AI control plane for enterprise AI agent security, governance, and observability. (Commercial)
5.Sonoma Security - MCP governance platform for securing and controlling enterprise AI agents. (Commercial)
Compare all Jozu Agent Guard alternatives at https://cybersectools.com/alternatives/jozu-agent-guard
Jozu Agent Guard is for security teams and organizations that need Agentic AI Security, MCP Security, LLM Guardrails, AI Governance, Supply Chain Security. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other Security for AI tools can be found at https://cybersectools.com/categories/ai-security
Have more questions? Browse our categories or search for specific tools.
