A unified European platform for AI governance, runtime security, and agentic control. Ensure your LLMs are compliant, secure, and observable – whether you use APIs or self-hosted models.
Manage quality and risk end-to-end. Standardize pre-deployment with evaluation and quality assurance. In production, ensure runtime security and use live evidence to drive continuous, data-based improvements to your setup.
Proxy and Evaluation handle safety, observability, and reliability – so your team focuses on the product, not the infrastructure.
Klassische Firewalls verstehen keine Sprache. Wir schützen Ihre produktiven AI-Systeme proaktiv vor Prompt-Injection, Datenlecks und „Jailbreaks“, indem wir Absichten analysieren – nicht nur Keywords.
You cannot secure what you cannot see. We integrate deeply into your cloud stack to provide full observability of every interaction – between users, LLMs, agents, and tools.
Don’t wait for an attack to find a vulnerability. Our platform continuously probes your applications with thousands of adversarial scenarios, finding weak spots before hackers do.
Align automatically with the EU AI Act and GDPR. sequiSAS generates verifiable, auditable records that prove you are actively testing and enforcing security controls.
We act as a judgment layer that sits between your model and the world. The system actively monitors live traffic for anomalies and adapts your security posture in real-time to counter new attack vectors as they emerge.
Go beyond simple content filters. Define and automatically enforce custom, context-aware rules. Whether it’s preventing a chatbot from promising discounts or stopping an agent from deleting files, you define the boundaries.
Connect all your models – OpenAI, Mistral, Azure, local LLMs, custom models – through one secure endpoint. Centralize keys, routing, policies, logging, and cost controls.
Get a single pane of glass for all business-critical metrics – from token usage and costs to individual compliance scores. Drill down into specific incidents or generate one-click reports for internal stakeholders.
For self-hosted models, we unlock a deeper layer of insight by correlating application logic with its underlying operational footprint. This allows us to detect performance bottlenecks and security threats that API-wrappers simply can’t see.
Do you have questions or want to learn how sequiSAS can support your AI operations?
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