What we do
Services
We help teams building with LLMs defend against prompt injection at the execution layer — where filtering fails, infrastructure succeeds.
Prompt injection assessment
Adversarial testing of your LLM-integrated application against prompt injection techniques, including indirect vectors your team hasn't considered.
- Injection vectors
- Multi-turn escalation paths
- Tool-calling abuse
- Data exfiltration
Execution layer architecture
Design guidance for infrastructure-level defense: label-based data flow control, privilege separation, sealed credential paths, and policy enforcement beneath the model.
- Data provenance and label design
- Policy-based capability control
- Containment architecture
- Isolation strategy
Advisory retainer
Ongoing access to our research team for threat intelligence, incident response guidance, and architecture consultation as your AI products evolve.
- Dedicated communication channel
- Direct participation in research planning
- Early access to research and tooling
Let's talk about your AI security posture
Reach out to discuss how we can help secure your LLM-powered applications at the infrastructure level.
hello@disreguard.com