AI security assessment – from validation to enterprise-proof AI solution
- Clear risk assessment of your AI stack (model, system, pipeline)
- Identified weaknesses incl. prioritization according to impact and effort
- Concrete mitigation measures and quick wins for rapid impact
- Roadmap to enterprise-proof scaling - compatible with compliance and governance
What the AI Security Assessment can do for you
Our AI Security Assessment offers you clear benefits and practical results – beyond buzzwords and hype:
- Holistic approach: AI security is not isolated, but integrated into your IT security, data governance and management processes - with consistent controls and responsibilities.
- Open source instead of lock-in: We rely on proven open source tools and frameworks, reduce dependencies and keep an eye on costs and flexibility.
- Practical tests: Validation against OWASP LLM Top 10, Threat Modeling, Penetration Testing and Adversarial Checks - tailored to your systems and models.
- Audit-ready: documentation, policies and evidence that withstand compliance audits (e.g. ISO 27001, GDPR, internal guidelines).
Services of our AI Security Assessment
- Security scan of your AI components (models, APIs, pipelines)
- AI Penetration Testing against OWASP LLM Top 10
- Check for prompt injection, data outflow, model manipulation
- Alignment with compliance, governance and management requirements
- Concrete result: Initial security report with risk assessment, quick wins and prioritized measures
Pillar 1 – Validation & review of existing solutions
- Inventory: models, RAG workflows, data flows, integrations, system and model boundaries
- Threat modeling: attack surfaces and threat scenarios, prioritization according to risk/impact
- Compliance check: mapping to ISO 27001 principles, GDPR, internal policies
- Result: Transparent risk and compliance situation incl. decision template for management and security boards
Pillar 2 – Safeguarding existing components
- Content Safety & Moderation: Protection against toxic content, PII leaks, abuse
- Prompt injection protection: preprocessing filters, policy enforcement, API gateways
- RAG-Hardening: document validation, source whitelists, output checks
- API Security: AuthN/Z, Key Management, Rate Limiting, Monitoring
- Logging & Security Oversight: Audit Trails, Alerting, Incident Response
- Result: Implemented multi-layer controls, seamlessly integrated into your IT security controls and operations
Pillar 3 – Test & validation in retrospect
- Penetration tests and red teaming against model and system-side attacks
- Stress tests/jailbreak resistance and regression checks after changes
- Continuous validation: KPIs, metrics, recurring security tests
- Result: demonstrably effective controls, resilient operational reliability and continuous security improvement
Concrete results – what you get after the assessment
- Security Assessment Report: Comprehensive analysis of your AI security with risk assessment, prioritization and clear measures
- Implemented security pipeline (optional): Multi-layer protection from input validation to output filtering
- Technical documentation: architecture, configuration, policies, operating manual – with assignment to existing IT security processes
- Audit readiness: verifiable evidence for compliance and governance
- Scaling and roadmap recommendation: next steps, roles, timelines, KPIs
About Ventum
With over 20 years of consulting experience, we combine in-depth expertise in the introduction of digital innovations such as artificial intelligence with tried-and-tested methods.
Industry and size expertise
We know SMEs and enterprises - from lean pilots to structured implementation across several areas.
End-to-end instead of isolated solutions
We seamlessly integrate AI security into IT security, data governance and management processes - for consistent controls and responsibilities.
Strategy connection
Role model fits your organization, governance and roadmap.
Designed to be scalable
We plan data, processes and systems from the outset so that solutions are viable from pilot to rollout.
Over 20 years of experience
Digital projects, data-driven decisions and effective change - best practices that have proven their worth.
Support until success
On request, we provide support with review, implementation, scaled introduction and sustainable optimization.
Competence in AI Security Assessment - Your expert
Our references and projects in AI and data
Request a non-binding appointment now
- Field-tested expertise: Over 20 years of experience in digital innovation, security engineering and governance - enterprise-proven, suitable for SMEs
- Individual assessments: Content, depth and tools tailored precisely to your AI use cases, systems and compliance goals
- Experienced security engineers: tests and implementations by people who secure AI models and systems in production environments
- Immediately effective measures: Quick wins, clear roadmap, documented controls - for measurable security from day one
TISAX and ISO certification for the Munich office only
Your message
FAQ - Frequently asked questions about the AI Security Assessment
You receive a prioritized action plan with a clear risk assessment (model risk, system risk), evidence from tests/scans, quick wins and medium to long-term controls. Optionally, we implement multi-layer controls (content safety, prompt injection protection, RAG hardening, API security), set up logging/audit trails and train relevant roles. All results are documented, auditable and can be integrated into your management and governance processes.
Quick wins can often be implemented within a few days to weeks (e.g. preprocessing filters, API policies, basic logging). Larger measures such as end-to-end Guardrails setups, secure MLOps or governance adjustments require more time. We provide a roadmap with roles, timelines, KPIs and a system testing plan so that progress and risk can be managed transparently.
For an assessment of the current situation, yes: it identifies key risks, quick wins and strategic fields of action. For sustainable security, we recommend implementing prioritized controls and establishing a continuous validation and monitoring process (e.g. recurring penetration tests, threat model updates, regression checks) to cover new threats and changes to models/systems.