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Sovereign AI Infrastructure.

Unmastered data leaving your premises is a leak.

Abstraction layers come with severe security risks. You cannot build sovereign intelligence on an unmastered technical stack.

Designed for any organization where trade secrets, client identity, and intellectual property are sacred assets. Sovereignty is not a single action: it is a multi-layered defense. Codernic guarantees absolute data privacy and deterministic compliance by mastering execution on your servers and enforcing cryptographically sealed boundaries on cloud connections.

Enterprise Security & Compliance Frameworks

Security & Trust
SOC 2 Ready
ISO 27001 Aligned
FIDO2 / WebAuthn SSO
NIST CSF Compliant
Regulations
GDPR Compliant
DORA Architecture
HIPAA Compatible
BSI IT-Grundschutz
Governance & Ops
ITIL v3 Aligned
Prince2 Project Governance
AI Benchmarks
MITRE ATLAS™ Aligned
OWASP LLM Top 10
Common Criteria Ready
FIPS 140-3 Cryptography
Explore all 21 Regulatory & ISO Standards

Enterprise AI Engineering Challenges

Adopting generative AI requires robust infrastructure for privacy, reliability, and access control.

Data Privacy & Egress Control

Sending proprietary codebases to public cloud endpoints risks unintended disclosures and intellectual property leakage.

Code Quality & Verification

Autonomous code generation requires automated syntax, type, and AST checks before patches touch production repositories.

Multi-Agent Governance

Without coordinated file claim locks and execution graphs, concurrent agents risk creating conflicting file changes and merge drift.

Regulatory & Legal Compliance

Architectural alignment with international data protection and financial regulations.

Security & SIEM Integration

Interoperable telemetry for enterprise SIEM, SOC, and compliance auditing workflows.

SIEM & SOC Collectors

Real-time structured JSON event streams forwarded to your SIEM collector over TLS.

Dual-Pass AST Redaction

Regex patterns and Abstract Syntax Tree (AST) token parsing redact PII, API tokens, and credentials with low latency.

WORM Audit Logs

Append-only cryptographic logging provides forensic traceability for all AI interactions.

Deployment Options

Deploy Codernic where your workflows require: On-Premise, Air-Gapped, or Dedicated Private Cloud.

On-Premise Infrastructure

Direct deployment on your dedicated servers using Vulkan, CUDA, Metal, or CPU compute.

Air-Gapped Environments

Operates fully disconnected from the public internet using local model weights.

Dedicated Private Cloud

Deployable across European infrastructure providers under private enterprise agreements.

The 5 Pillars of Defense-in-Depth Architecture.

A modular, layered approach to secure execution, context retrieval, multi-agent orchestration, token optimization, and data protection.

01

01. Execution

Core Compute Runtime
Local GPU & CPU Inference Engine

Ultra-low latency local inference and compact footprint without massive prompt injection. Native execution across Vulkan, Metal, CUDA, and CPU.

02

02. Memory

Semantic Context Index
Vector Memory & AST Codebase Indexing

Surgical epistemic tree indexing with zero-copy shared memory streaming powering the runtime without context stuffing.

03

03. Governance

Multi-Agent DAG Arbitrator
File Claim Arbitration & Step Verification

Manages execution order and file lock claims across multi-agent workflows using a Directed Acyclic Graph (DAG) to prevent race conditions and conflicting edits.

04

04. Optimization

Prompt Optimization Gateway
Token Compressor & Payload Reducer

Context compression that optimizes prompt payload sizes while preserving semantic meaning, lowering inference costs and token usage.

05

05. Security

AST Inspection & DLP Gateway
Data Loss Prevention & PII Redaction

Data loss prevention proxy that inspects prompts and code patches to redact sensitive credentials, PII, and API keys before payload transmission.

Frequently Asked Questions

Technical answers for engineering leaders and security architects.

How does Codernic differ from public cloud AI assistants?

Standard cloud assistants transmit code and prompts to external cloud endpoints. Codernic runs its core inference, vector indexing, and AST validation locally on your own infrastructure.

What happens if an AI agent generates invalid code?

Codernic's Pirsig engine executes Tree-sitter AST validation and compilation checks before changes are committed. Syntax errors and broken imports are caught and rejected prior to filesystem writes.

Can multiple AI agents work concurrently on the same codebase?

Yes. The Galileus DAG arbitrator manages explicit file claims (Read, Write, Exclusive) to coordinate parallel agent tasks and avoid file collision.

How can teams evaluate the DLP and security features?

You can test the interactive sandbox at https://swg.codernic.dev without installing local dependencies.

Ready to evaluate Codernic?

Schedule a technical deep-dive or request access to the enterprise pilot program.

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