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I-314 / AI Defense
AI Defense

AI Defense

Products and services to identify, prevent and document security risks in AI systems, including language models, autonomous agents and their integrations.

Context

Security risks in AI systems

Conventional security controls inspect network traffic and known signatures. Attacks on AI systems are delivered through content, such as instructions, documents, tool outputs or web pages processed by the model, and require specific testing and protection.

Agents with execution capabilities

Tool calls, MCP servers, browser automation and code execution allow an error or manipulation of a model to result in actions on real systems.

Context manipulation

Retrieval corpora, memory and messages between agents can be manipulated without direct access to the organization’s infrastructure.

Regulatory requirements

The EU AI Act, DORA and NIS2 require technical evidence of testing and of incident reporting.

Methodology

From testing to protection

AI-Egis uses the same knowledge base for offensive testing and for runtime protection. Each alert is linked to the specific test, CVE and framework technique involved.

Test

Automated agents run adversarial campaigns against LLM applications, agents and MCP servers.

Document

Findings are scored, mapped to MITRE ATLAS and OWASP, and can be reproduced exactly.

Protect

An inline monitoring component observes, blocks and filters production traffic.

Govern

Results support governance through maturity assessments, EU AI Act mapping and incident reporting timelines.

Product
AI Exploitation & Governance Intelligence Suite

AI-Egis

Automated red teaming and runtime protection for AI systems, with nine specialized agents, a model-based evaluator calibrated to minimize false positives, and reproducible results. Self-hosted, with an air-gapped deployment option.

AI-Egis
  • Coverage998 tests · 21 domains · 10,216 payloads
  • FrameworksOWASP LLM Top 10 · OWASP Agentic Top 10 · MITRE ATLAS
  • TargetsLLM applications · agents · MCP servers · RAG · vision · browser agents
  • RuntimeInline monitoring: observation, blocking and output filtering
  • DeploymentDocker · Helm · air-gapped installation
Consulting

Related services

AI red team & assurance

Expert-led security assessments of AI systems, combining AI-Egis automation with analysis of business logic and misuse scenarios.

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AI governance & compliance

Governance committees, model approval processes and control frameworks for the adoption of AI in regulated organizations.

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Sovereign deployment

Installation of AI-Egis and its supporting models within the client’s infrastructure, including air-gapped environments.

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Contact

AI security assessment

I-314 can define the scope of an assessment of your LLM applications and agents, from threat modeling to reproducible findings.