Security for AI Assistants
Universal Model Context Protocol server — bring vulnerability scanning, SBOM analysis, and automated remediation to Claude, ChatGPT, Grok, and your IDE.
One Server, All Your AI Tools.
Universal AI Integration
01Single API gateway for Claude Desktop, ChatGPT, Grok, VS Code, IntelliJ, and any MCP-compatible client.
Enterprise Security
02OAuth 2.1 Device Flow + API Key authentication. Auto-token refresh, multi-tenant support, and complete audit trail.
89+ Security Tools
03Comprehensive tools for vulnerability scanning, SBOM management, automated remediation, and compliance reporting.
Natural Language Interface
04Ask questions in plain English. AI assistants understand your security queries and provide actionable insights.
Everything You Need for Security.
Vulnerability Scanning
Find CVEs by severity, CVSS, ecosystem
Automated Remediation
Fix npm, pip, maven, go, cargo dependencies
SBOM Management
Create, compare, analyze Software Bill of Materials
Security Metrics
Risk scores, compliance reports, trend analysis
SCM Integration
GitHub, GitLab, Bitbucket, Azure DevOps
Compliance
PCI-DSS, HIPAA, SOX, GDPR, FedRAMP templates
Natural Language
Ask questions and get AI-powered answers
CI/CD Ready
API key auth for automated workflows
Built for Modern Workflows.
AI-Powered Security Reviews
Let Claude or ChatGPT analyze your projects for vulnerabilities and compliance issues
Automated Remediation
AI assistants automatically fix vulnerabilities in package.json, requirements.txt, and more
IDE Integration
VS Code and IntelliJ plugins connect to MCP server for real-time security insights
Ask in English. Get a verdict.
• CVE-2024-1234 in express@4.17.1
• Fix available: Update to 4.18.2
const mcpClient = new SafeguardMcpClient(
"https://mcp.safeguard.sh"
);
const result = await mcpClient.callTool(
'safeguard_remediate_npm',
{ package_json_content }
);{
"mcpServers": {
"safeguard": {
"url": "https://mcp.safeguard.sh/mcp/sse",
"transport": "sse",
"env": {
"SAFEGUARD_API_KEY": "sg_api_your_key"
}
}
}
}Governance for every agent call.
Six controls that turn agentic AI from a liability into an auditable surface.
Tool allowlist + capability scoping
Declare which MCP tools an agent can call, with per-tool capability bounds. Restrict to read-only, sandboxed write, or fully privileged surfaces per agent.
Sensitive-data egress guardrails
Inline scanning of tool outputs for PII, secrets, and proprietary code before they leave the boundary. Redact, block, or quarantine in milliseconds.
Prompt audit log
Every prompt, tool call, and response is stored with cryptographic chain-of-custody. Replay any session for incident response or regulatory review.
Per-agent identity
Each agent and model gets its own credentials and quota. Revoke a single misbehaving client without disrupting the rest of the fleet.
Real-time policy enforcement
Block, redact, or require approval based on context — file path, repo, requester, or downstream destination. Decisions resolve in single-digit milliseconds, typically.
Drop-in for any MCP-aware client
Works with Claude Code, Cursor, Cline, and custom agents out of the box. Standards-compliant transport with SSE and HTTP support.
Real deployments, real outcomes.
Lock down an agentic coding assistant in a financial-services repo
Point the assistant at the MCP server instead of direct API access.
Block writes to production manifests and redact customer IDs in tool output. The assistant can read code freely, but every mutation is gated by policy and every emission is scrubbed of identifiers.
Customer-ID egress blocked at the boundary in pilot
Comply with EU AI Act tier-2 logging in the SDLC
Route every AI-assisted change through the MCP boundary.
Capture prompts, tool calls, and responses with chain-of-custody — without writing your own audit infrastructure. Export to your evidence pipeline on a schedule or on demand for an auditor.
Full tier-2 evidence in days, not quarters
Prevent prompt-injection secret exfiltration
Wrap the agent's vector store and tool calls behind MCP.
When a poisoned document tries to coerce the agent into dumping a token, the egress scanner catches the secret pattern in the tool response before it reaches the model context. Quarantine and alert in one step.
Secret patterns caught before reaching model context
Govern multiple AI vendors through one allowlist
Front Claude, GPT, and in-house models with the same MCP server.
Manage policy once instead of in N vendor consoles. Add a new vendor by issuing an identity; remove one by revoking it. Audit logs unify across providers with a single schema.
One control plane for every AI client
End-to-end request lifecycle.
Client connects
An MCP-aware client opens a session against the Safeguard MCP endpoint.
Auth + identity check
Per-agent credentials are validated and bound to a tenant + policy set.
Tool capability scope applied
Allowlist filters the tools the agent may invoke and the arguments allowed.
Tool call inspected by policy engine
Each call is evaluated against context — repo, path, requester, time.
Output scanned for sensitive data
Secrets, PII, and proprietary code are redacted or blocked at egress.
Audit log entry
A signed record is written with prompt, call, response, and decision.
Response returned
The sanitized result is streamed back to the client in standard MCP shape.
Ready to Secure with AI?
Join developers using AI assistants for automated security and compliance.
Self-healing security runs on Safeguard.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.