Skip to content

AI security engineering for production systems

AI security consulting for LLMs, RAG and agents: Bettag Systems reviews your architecture, tests attack paths and helps implement fixes. Franz Bettag works directly with your engineering and operations teams in the Nuremberg region and across Germany. The goal is verifiable controls and workflows your team can maintain.

Engineering secure AI systems

What gets secured

Prompts and context

Prompt injection, indirect instructions, system-prompt leakage and unsafe context boundaries.

RAG and data

Poisoning, manipulated sources, authorization failures, data exfiltration and missing provenance.

Tools and agents

Over-privileged tools, unsafe action chains, missing approvals and uncontrolled side effects.

Operations

Evals, audit logs, monitoring, cost controls, incident response and secure rollouts.

How the work runs

1. Understand the system

Map architecture, data flows, models, retrieval, tools, permissions and human approval points.

2. Test attack paths

Build a threat model and reproducible tests for injection, exfiltration, poisoning and tool misuse.

3. Remove risk

Implement controls or hand over a prioritized backlog with clear ownership.

4. Secure operations

Anchor regression evals, logging, alerts, approvals and runbooks in production.

Deliverables

Threat model

Concrete assets, trust boundaries, attacker goals and traceable attack paths.

Security findings

Reproducible findings with risk, evidence and actionable remediation.

Secure production path

Prioritized architecture and implementation work, including evals and operational controls.

Continuing education and practical work

Course certificates for Claude, MCP and agents

Franz Bettag’s Anthropic course certificates complement his hands-on work on AI systems. The certificate page shows the original documents; the bug bounty case study explains model roles, tools and verification in his own system.

From this work to your project

Which review fits your system?

An LLM security audit examines your AI application, its data access and tools. An external penetration test examines the authorized attack surface of your websites, APIs and services. Platform engineering provides the operational foundation for both. We agree scope and implementation with the teams responsible.

Engineering secure AI systems

Security inquiry

Request a non-binding quote for a pentest package or custom reverse engineering. We agree scope, start date and terms with you personally.

Pentest prices are per month, excluding VAT. All prices are starting prices. The final monthly fee depends on the number and extent of the agreed scopes and may be higher. Your quote confirms the binding price.

Book by 30 September 2026. Save 30% for your contract term. For pentest packages and custom reverse engineering booked on or before 30 September 2026 (Europe/Berlin). The saving applies for the entire agreed contract term. We agree the project start separately. Terms are confirmed in your quote.

Do not send passwords, credentials, confidential vulnerability details or firmware files. We will agree secure exchange and testing authorization personally.

Privacy notice

This inquiry is not a booking and does not secure promotional terms. After submitting, please confirm your email address.