Security, Governance & Architecture
Autonomous AI agents operating inside your existing security perimeter. Designed from day one with zero public model training, rigorous access control, and complete code ownership.
Security Controls at a Glance
Summary of data protection policies and infrastructural standards across all client engagements.
| Control | What it means for your organization |
|---|---|
| Confidentiality | Mutual NDA executed before discovery. Client data is never used to train public or foundational models. |
| Ownership | 100% source code, system prompts, schemas, and API integration glue transfer to your organization at delivery. |
| Deployment | Customer-owned VPC (AWS, GCP, Azure), dedicated container instances, or self-hosted open-weights models. |
| Encryption | TLS 1.3 for all in-flight requests and AES-256 at rest for any persistent state or operational databases. |
| Access control | Least-privilege role-based access control (RBAC) enforced at agent, tool, and database boundaries. |
| Auditability | Structured JSON audit logs for every model inference, prompt template, tool invocation, and decision threshold. |
| Compliance | We operate as an engineering partner inside your existing SOC 2 / ISO 27001 perimeter rather than a multi-tenant SaaS vendor. |
Infrastructural Safeguards
Zero Model Training
Your business secrets, internal documents, and client conversations are never passed to public training sets. We exclusively leverage enterprise APIs with zero data retention policies or self-hosted models.
Your Infrastructure
Run autonomous agents directly inside your cloud perimeter (AWS ECS/EKS, GCP Cloud Run, Azure Container Apps) or behind your corporate firewall to satisfy data residency rules.
Human-in-the-Loop Thresholds
Every destructive or customer-facing action can be gated behind human approval. Define confidence score thresholds, batch sizes, and manual review queues in Slack or email.
Isolated Credential Management
We never store long-lived production secrets. Integrations connect via your secrets manager (AWS Secrets Manager, HashiCorp Vault, Doppler) using scoped service accounts.
Frequently Answered Security Questions
Where does our business data flow during agent operations?
Workflows execute in the cloud environment of your choice. Agent orchestrators query your data sources (CRM, database, email) in real-time, execute the scoped transformation, and write results back to your systems. Data is never cached on our personal or internal agency servers.
Do third-party LLM providers retain our data?
We only use Enterprise API agreements (such as OpenAI Enterprise, Anthropic Commercial, or Azure OpenAI Service) where the provider contractually agrees to zero data retention and prohibits model training on client API inputs. If required, we deploy fully air-gapped open-source models (Llama 3, Mistral) on your private hardware.
What happens to the code and infrastructure after delivery?
You retain full intellectual property. All repositories, Docker containers, orchestration scripts, and prompt libraries are transferred to your GitHub or GitLab organization upon completion.
How do you handle penetration tests and vendor security reviews?
We provide complete architecture diagrams, data flow maps, and threat models to your security team during the Design phase. We readily collaborate with your internal compliance officers to pass vendor onboarding.
Need a custom vendor security review?
We routinely complete client security questionnaires, configure air-gapped deployments, and sign mutual NDAs prior to technical scoping.