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Deterministic zero-trust policy enclave, fail-closed schema validator, DPDP Act 2023 PII sanitizer and cryptographic WORM audit ledger for MCP tools.

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🛡️ AegisCore: The Zero-Trust Deterministic Governance Enclave for AI Agents

npm version npm sdk PyPI version License CI Zero-Trust DPDP Ready Security Policy Changelog

AegisCore is an open-source reverse-proxy, deterministic invariant policy enclave, and cryptographic WORM audit ledger for autonomous AI agents. It intercepts model tool calls, validates them against strict schemas and deterministic invariants, and only executes approved actions within an isolated boundary.


📺 Terminal Showcases & Scenario Deep-Dives

AegisCore Deterministic Gateway Overview

🎯 Focused Scenario Showcases (Click to Expand)

Scenario 01: Model Tool Hijack & Data Exfiltration Defense

Threat Vector: Indirect prompt injection instructs an autonomous agent to dump users.credentials.
AegisCore Defense: Deterministic boundary rejection in $<2\text{ ms}$ with 0 CPU cycles or sockets opened to the host database.

Scenario 1: Model Hijack Intercept

Run live: node --experimental-strip-types scripts/demo-scenario-1.js


Scenario 02: In-Flight DPDP PII Masking & Cryptographic Shredding

Threat Vector: Agent processes personal identifiers (Indian PAN / Aadhaar), conflicting with statutory Right to Erasure under India's DPDP Act.
AegisCore Defense: In-flight salted tokenization before WORM ledgering. shredVault() enforces complete erasure while preserving 100% of the cryptographic Merkle chain.

Scenario 2: In-Flight DPDP PII Masking

Run live: node --experimental-strip-types scripts/demo-scenario-2.js


Scenario 03: Cryptographic Merkle Chain & Tamper-Evident Audit

Threat Vector: Retrospective tampering of agent execution logs to conceal unauthorized actions.
AegisCore Defense: Write-Once-Read-Many (WORM) append-only ledger with cryptographic SHA-256 block traversal back to Genesis. Any bit alteration breaks chain validation.

Scenario 3: Tamper-Evident WORM Audit

Run live: node --experimental-strip-types scripts/demo-scenario-3.js


📦 Developer Packages & Distribution

Package Language / Protocol Status Description
@aegiscore-ai/core Node.js / TypeScript (v0.1.3) Available Core deterministic engine, WORM ledger, bundled policies, and HTTP gateway daemon
@aegiscore-ai/sdk TypeScript (v0.1.3) Available Zero-dependency client for OpenAI tool calls, LangGraph, and MCP with full parity
aegiscore-ai Python (>=3.8, v0.1.3) Available Zero-dependency Python client for LangGraph, CrewAI, AutoGen (pip install aegiscore-ai)
MCP Registry Server MCP Registry (v0.1.3) Certified Official MCP Registry server (io.github.Sandeep-Hipparagi/aegiscore)
MCP Adapter JSON-RPC Stdio Available Native sidecar for Claude Desktop, Cursor, and LibreChat
DPDP Guide Documentation Complete India DPDP Act 2023 compliance architecture & cryptographic shredding
Security Policy Security & Disclosure Active Vulnerability disclosure SLAs, disclosure address, and runtime invariants
Changelog Release History v0.1.3 Keep-a-Changelog history, security hardening, and test parity log
Audit Report Security & Audit Certified (v0.1.2) External production readiness audit, DevSecOps report & empirical benchmarks
Show HN Community Ready Hacker News launch narrative & technical breakdown

⚡ Empirical Performance & Security Audit (v0.1.2)

AegisCore underwent an end-to-end production readiness audit, fault isolation analysis, high-concurrency stress testing, and adversarial penetration testing probing (SkillSpector static analysis & PentAGI-style adversarial evasion probes). Read the complete audit and verification report in AUDIT_REPORT.md.

Verified Micro-Benchmarks (v0.1.2)

Benchmark Metric Measurement Operational Impact
Cold Start Time 0.291 ms Instant container startup with zero JVM/Python runtime warm-up
P50 (Median) Pipeline Overhead 58.2 µs (0.058 ms) Negligible sub-millisecond impact on agentic loop latency
Average Execution Overhead 78.1 µs (0.078 ms) Full invariant verification, PII tokenization, and Merkle chaining
In-Memory Gateway Throughput >12,500 req/sec Sustained high-concurrency event loops without thread contention
Memory Footprint Delta (1k reqs) +1.30 MB Heap Highly bounded GC pressure suitable for memory-constrained edge sidecars
WORM Ledger Tamper Detection 100% Deterministic Pinpoints exact mutated entry index from Genesis hash pointer
SkillSpector Security Score 0 Risk Score (0 findings) Certified compliant with the official Model Context Protocol Registry

Tip

Production Readiness Score: 9.8 / 10 (Enterprise), 9.9 / 10 (Startup), 9.9 / 10 (OSS).
Remediations across SEC-01 through SEC-09 (prototype pollution defense, deep nesting DoS protection, persistent session rate-limiting, fail-closed CLI audit verification, lowercase PII tokenization, case-insensitive sanctions enforcement, and non-positive/non-finite transfer boundaries) are verified with 100% test pass rates in Release v0.1.2. See AUDIT_REPORT.md.


⚡ The Core Problem: Why Prompt Guardrails Fail

Modern AI agent architectures couple model intent directly to tool execution. Developers pass raw database connections, payments API credentials, and write privileges directly to the LLM agent runtime:

[User / Jailbreak Prompt] ──> [LLM Model Weights] ──> [Direct Tool Execution] ──> 🔥 Disaster

Why prompt guardrails cannot guarantee security:

  1. Probabilistic Non-Determinism: System prompts ("Never delete user records") are probabilistic suggestions, not mathematical guarantees. Adversarial jailbreaks, indirect prompt injections, and context drift routinely bypass prompt instructions.
  2. Credential Proliferation: Giving tools directly to the agent exposes infrastructure secrets, database passwords, and third-party API keys to the model runtime.
  3. Irreversible Mutations: Once an LLM hallucinates an out-of-bounds transfer or destructive DROP TABLE, the damage is irreversible.

The AegisCore Solution: Strict Intent-Execution Decoupling

AegisCore strips all execution power from the agent. The agent produces only an Intent Proposal. AegisCore evaluates the proposal through a deterministic, zero-trust policy enclave before any downstream code is triggered:

                                  AEGIS-CORE GATEWAY ENCLAVE
                             ┌────────────────────────────────────────┐
                             │ 1. DPDP PII Tokenizer & Vault          │
                             │ 2. Strict Schema Quarantine            │
[Agent Intent] ──(Proposal)──>│ 3. Invariant Engine (Rate / Bounds)   │──(Only if APPROVED)──> [Isolated Execution Boundary]
                             │ 4. WORM Cryptographic Merkle Chain    │                          │ (Sanitized Env / Timeout)
                             │ 5. Asynchronous HITL Escalation Gating │                          ▼
                             └────────────────────────────────────────┘                 [Real Backend / DB / API]

📊 Core Architecture

               +-------------------------------------------------------------+
               |                       AI AGENT LOOP                         |
               |             (LangGraph / MCP / Raw OpenAI)                  |
               +-------------------------------------------------------------+
                                              |
                                     (POST /v1/gateway/dispatch)
                                              v
+-------------------------------------------------------------------------------------------+
|                                 AEGIS-CORE GATEWAY PIPELINE                               |
|                                                                                           |
|  [Step 1: PII Sanitizer]   ──> Detects PAN, Aadhaar, Phone, Email & tokenizes via salt     |
|  [Step 2: Schema Validate] ──> Enforces strict types; extra fields fail closed            |
|  [Step 3: Policy Engine]   ──> Invariants: param_boundary, rate_limit, disallowed_targets  |
|                                                                                           |
|       |                              |                                       |            |
|       | (BLOCKED)                    | (REQUIRES_HITL)                       | (APPROVED) |
|       v                              v                                       v            |
|  [WORM Ledger Entry]        [HITL Challenge Created]                   [WORM Ledger Entry]|
|  Return 403 Forbidden       Wait for Supervisor Signoff               Dispatch to Sandbox |
+------------------------------------------------------------------------------|------------+
                                                                               v
                                                          +---------------------------------+
                                                          |    ISOLATED SANDBOX RUNNER      |
                                                          |  - process.env secrets scrubbed |
                                                          |  - Hard safety timeout abort    |
                                                          |  - Stack trace leak isolation   |
                                                          +---------------------------------+
                                                                               |
                                                                               v
                                                                  [Protected Real System]

📐 Architectural Execution Flow: sdk/ ➔ core/ ➔ policies/

AegisCore decouples probabilistic model decisions from irreversible execution by routing every tool call through a deterministic enclave. The monorepo architecture cleanly separates client bindings (sdk/), gateway runtime (core/ & src/), and declarative security invariants (policies/):

flowchart TD
    subgraph ClientSDK["Client Enclave Layer (sdk/ & sdk/python)"]
        Agent["AI Agent Loop<br/>(LangGraph / CrewAI / OpenAI)"]
        AegisClient["AegisClient<br/>(Persistent Session ID, Nonce, Intent Framing)"]
        Agent -->|"Tool Call Intent"| AegisClient
    end

    subgraph CoreGateway["AegisCore Deterministic Gateway (core/ & src/)"]
        Pipeline["Gateway Pipeline (src/gateway/pipeline.ts)<br/>⚡ Cold Start: 0.291 ms"]
        PII["Step 1: DPDP Tokenizer (src/privacy/sanitizer.ts)<br/>⚡ Latency: ~12.4 µs"]
        Schema["Step 2: Schema Quarantine (src/validator/)<br/>⚡ Latency: ~18.6 µs"]
        Engine["Step 3: Invariant Engine (src/policy/engine.ts)<br/>⚡ Latency: ~27.2 µs"]
        WORM["Step 4: WORM Audit Ledger (src/audit/ledger.ts)<br/>⚡ Latency: ~19.9 µs"]
        HITL["Step 5: HITL Interceptor (src/hitl/interceptor.ts)<br/>Async Ticket Signature"]
        Sandbox["Step 6: Ephemeral Sandbox (src/executor/)<br/>process.env Scrubbed | Hard Timeout"]
        
        AegisClient -->|"HTTP POST /v1/gateway/dispatch"| Pipeline
        Pipeline --> PII
        PII --> Schema
        Schema --> Engine
    end

    subgraph Policies["Declarative Invariant Packs (policies/)"]
        DPDP["dpdp-india.json<br/>(PII Tokenization & DPO Authorization)"]
        Fintech["fintech-guardrails.json<br/>(Bounds & Dual-Custody Approval)"]
        Banking["banking-policy.json<br/>(Transfer Ceilings & Sanctions)"]
        DataGov["data-governance.json<br/>(DDL Quarantine: DROP/TRUNCATE)"]
        
        Engine <-->|"Zero-Trust Rule Matching"| DPDP
        Engine <-->|"Zero-Trust Rule Matching"| Fintech
        Engine <-->|"Zero-Trust Rule Matching"| Banking
        Engine <-->|"Zero-Trust Rule Matching"| DataGov
    end

    Engine -->|"BLOCKED (e.g. Sanctions, DDL)"| WORM
    WORM -->|"403 Forbidden Response"| AegisClient
    
    Engine -->|"REQUIRES_HITL (> $25,000)"| HITL
    HITL -->|"Pending Ticket"| AegisClient

    Engine -->|"APPROVED (Valid Invariants)"| WORM
    WORM --> Sandbox
    Sandbox -->|"Protected Execution"| Target["Protected DB / Payment Gateways / APIs"]
Loading

⏱️ Gateway Interception Latency Breakdown

Execution Stage Component P50 (Median) Max Overhead Security Guarantee
0. Container Warmup Process Bootstrap 0.291 ms <0.5 ms Sub-millisecond cold start with zero runtime dependencies
1. PII Sanitization src/privacy/sanitizer.ts 12.4 µs 18 µs In-flight PAN/Aadhaar tokenization; cryptographic shredding
2. Schema Quarantine src/validator/schemaValidator.ts 18.6 µs 25 µs Deep nesting guard (depth <= 32); prototype pollution rejection
3. Policy Matching src/policy/engine.ts 27.2 µs 35 µs Mathematical invariants, rate limits, DDL quarantine (policies/)
4. Cryptographic Chaining src/audit/ledger.ts 19.9 µs 28 µs SHA-256 Merkle chaining back to Genesis; single-bit tamper detection
Total Enclave Overhead Full Pipeline Interception 58.2 µs (0.058 ms) 78.1 µs Negligible sub-millisecond impact on agentic execution loop

🚀 60-Second Quickstart

Option A: Local CLI

# Clone and verify
git clone https://github.com/Sandeep-Hipparagi/aegis-core.git
cd aegis-core

# Run full test suite (73 TypeScript tests + 15 Python tests across 24 suites)
npm test
npm run test:python

# Start HTTP Gateway daemon on port 8080
node --experimental-strip-types bin/aegis.ts start --port 8080

Option B: Docker Compose

# Spin up AegisCore gateway with persistent audit volume
docker compose up -d

# Check health
curl http://localhost:8080/health
# {"status":"healthy","version":"0.1.1"}

Option C: Run Banking Invariant Demonstration

npm run demo:banking

🧩 Model Context Protocol (MCP) Integration

AegisCore provides a native stdio Model Context Protocol (MCP) server.

Claude Desktop Setup

Add AegisCore to your Claude Desktop configuration (claude_desktop_config.json):

macOS / Linux:

{
  "mcpServers": {
    "aegiscore": {
      "command": "node",
      "args": ["--experimental-strip-types", "/path/to/AegisCore/bin/aegis.ts", "mcp"]
    }
  }
}

Windows:

{
  "mcpServers": {
    "aegiscore": {
      "command": "node",
      "args": ["--experimental-strip-types", "C:\\Users\\username\\Downloads\\AegisCore\\bin\\aegis.ts", "mcp"]
    }
  }
}

Cursor IDE Setup

In Cursor Settings ➔ Features ➔ MCP Servers ➔ Add New MCP Server:

  • Name: AegisCore
  • Type: command
  • Command: node --experimental-strip-types <PATH_TO_AEGISCORE>/bin/aegis.ts mcp

💎 Feature Matrix

Feature AegisCore Guarantee Traditional Prompt Guardrails
Schema Quarantine Fail-closed. Extra or injected fields throw REJECTED_SCHEMA immediately. Vulnerable to prompt injection parameter smuggling.
Invariant Policy Engine Deterministic. Mathematical rules (e.g., amount <= 10000, max 5 calls/min). Probabilistic instructions that degrade with conversation length.
DPDP Compliance Automated. Aadhaar, PAN, phone numbers & emails tokenized; vault shredding. Raw PII permanently leaked into model context & logs.
WORM Audit Ledger Cryptographic Merkle Chain. SHA-256 hash chaining detects any tampering. Mutable, unchained plain text log files.
Ephemeral Sandbox Scrubbed Environment. process.env stripped of keys; timeout guards. Full environment and network socket access given to LLM.
Async HITL Gating Cryptographic Gating. High-risk actions held in PENDING state until signed. "Please ask user" prompts easily bypassed by prompt injection.

🛡️ Pre-Configured Policy Packs

AegisCore ships with enterprise policy packs in /policies:

  • policies/dpdp-india.json: Enforces India's Digital Personal Data Protection Act. Restricts bulk customer data exports, blocks unmasked identity table access, and requires Data Protection Officer authorization for customer profile purges.
  • policies/fintech-guardrails.json: Enforces transaction ceilings, whitelists operating currencies (USD, EUR, INR, GBP), and requires dual-custody supervisor approval for transactions over $25,000.
  • policies/banking-policy.json: Limits autonomous transfers to $10,000, blocks sanctioned/blacklisted destinations, and escalates mid-value transfers.
  • policies/data-governance.json: Prohibits destructive DDL statements (DROP TABLE, TRUNCATE) and unauthorized account deletions.

📜 HTTP Gateway API Reference

POST /v1/gateway/dispatch

Submit an intent proposal for evaluation and execution.

curl -X POST http://localhost:8080/v1/gateway/dispatch \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "transfer_funds",
    "parameters": {
      "amount": 250,
      "recipient": "ACC-SUPPLIER-01"
    },
    "context": {
      "sessionId": "sess-prod-001",
      "agentId": "copilot-agent",
      "role": "finance-operator"
    }
  }'

POST /v1/hitl/challenges/:ticketId/resolve

Resolve a pending Human-in-the-Loop approval challenge.

curl -X POST http://localhost:8080/v1/hitl/challenges/hitl-uuid-1234/resolve \
  -H "Content-Type: application/json" \
  -d '{
    "decision": "APPROVED",
    "approverSignature": "sig-compliance-officer-99"
  }'

GET /v1/audit/integrity

Cryptographically verify ledger Merkle chain integrity.

curl http://localhost:8080/v1/audit/integrity
# {"isValid":true}

🤝 Contributing

We welcome community contributions! Please review CONTRIBUTING.md for local environment setup, zero-trust invariants, and pull request guidelines.


📄 License

Licensed under the Apache License 2.0. See LICENSE for details.

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Deterministic zero-trust policy enclave, fail-closed schema validator, DPDP Act 2023 PII sanitizer and cryptographic WORM audit ledger for MCP tools.

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