Deploy an enterprise reverse proxy security shield between LLM APIs (Claude, Gemini, OpenAI) and internal databases. Block destructive SQL, prompt injections, and container escapes with 0ms physical overhead and tamper-proof compliance logging.
MCP Tool Call Request
0ms AST + Air-Gapped SLM
Protected Enterprise Core
Connecting autonomous AI Agents to corporate databases creates immediate attack vectors. Click a pain point below to inspect real-world vulnerability payloads vs. AIGis physical circuit-breaker defense responses.
Code-level physical hard blocking of destructive DDL statements (DROP/TRUNCATE) executing in 0.1ms, combined with an air-gapped local intelligence engine evaluating semantic intent & prompt injection attempts.
In 2026, 87% of enterprises using autonomous AI Agents report unverified tool execution, indirect prompt injections, or unauthorized database mutation attempts.
Transmitting un-sanitized customer PII, internal IP addresses, or database credentials to public cloud LLM APIs poses severe legal and financial penalties. AIGis automatically scrubs passwords, IPs, and phone numbers in-memory.
High-frequency queries bypass LLM evaluation and hit sub-millisecond decision cache, delivering 100K+ TPS throughput with 0 impact on enterprise API latency.
Secures developers using Cursor, Claude Desktop, or IDE Agents connected to internal MySQL/Postgres databases, preventing accidental DDL deletion (`DROP TABLE`) and source code leakage to cloud LLMs.
Prohibits public SaaS gateways. Deploys 100% on-premises to intercept privilege escalations, mask customer PII, and generate DuckDB-queryable Parquet compliance ledgers.
Automatically redacts patient names, phone numbers, real IPs, and medical records before AI analysis, ensuring strict HIPAA & patient data privacy compliance.
Employs SandboxGuard OS syscall firewall to prevent container escape attempts (`os.system`, `subprocess`) with RSA 2048 hardware machine locking.
Execute real-time vector attack simulations or type custom payloads below. Inspect multi-layer AST tokenization, Pydantic contracts, and Parquet audit ledger entries live.
// Layer 1 Abstract Syntax Tree (AST) & Lexer output will appear here...
// Layer 2 Pydantic Structured Safety Evaluation Contract will appear here...
Ideal for developers, PoC testing, and individual open-source MCP setups.
Designed for mid-sized tech companies and internal AI Assistant deployments.
Tailored for banks, defense units, healthcare, and large Kubernetes clusters.
AIGis never transmits any data to the public internet. Gateway logic, evaluation engine, and audit ledgers are deployed 100% inside your enterprise private LAN, meeting the strictest security compliance standards.