Security by default.
Every agent we build runs in isolated infrastructure with network policies, secrets management, and full audit trails. Security isn't an add-on—it's the foundation.
Review supported connectors and security-sensitive integrations in our integrations catalog.
VPS & VM Isolation
Every agent deployment runs in its own isolated virtual private server or virtual machine. No shared tenancy, no cross-contamination. Your workloads are sandboxed from other clients at the infrastructure level.
Secrets & IAM
API keys, tokens, and credentials are stored in encrypted vaults—never in code, never in logs. Role-based access controls ensure only authorized personnel and processes can interact with agent systems.
Audit & Compliance
Every agent action is logged with full traceability—what happened, when, why, and what data was accessed. Audit trails are immutable and exportable for SOC 2, HIPAA, and internal compliance reviews.
Network security
Agent infrastructure is deployed behind strict network policies. Ingress and egress rules are configured per-agent, so each system only communicates with the APIs and services it needs—nothing more. All traffic is encrypted in transit with TLS 1.3, and internal service communication uses mutual TLS where applicable.
Data handling
We follow a zero-trust data model. Agent memory and context are scoped to the session or task. Sensitive data is never persisted beyond what's required for the workflow. When data must be stored, it's encrypted at rest with AES-256 and access is governed by IAM policies you control.
For data-in-motion, all agent interactions with external APIs, databases, and tools are logged and auditable. You can route logs to your own data warehouse—BigQuery, Snowflake, S3—so you maintain full ownership.
LLM security
We take prompt injection and model misuse seriously. Every agent includes:
- Input validation — structured guardrails that reject malformed or adversarial inputs before they reach the model
- Output filtering — post-processing checks that catch hallucinations, PII leakage, and out-of-scope responses
- Sandboxed tool calling — agents can only invoke pre-approved tools with parameterized inputs; no arbitrary code execution
- Human-in-the-loop gates — configurable review checkpoints for high-stakes actions like sending emails, modifying records, or triggering payments
Incident response
All managed deployments include monitoring and alerting. If an agent behaves unexpectedly—elevated error rates, unusual API calls, or cost anomalies—our team is notified immediately. For Enterprise clients, we provide 24/7 incident response with defined SLAs and post-incident reports.
"Security review was smooth—infra isolation was exactly what we needed. Our compliance team signed off without a single concern."
— Samir Patel, Security Lead, Pathway Health
Your data. Your models. Your control.
For organizations that require complete data sovereignty, we offer on-premise deployment on dedicated infrastructure.
Learn more about on-premise ->The problem with closed LLMs
Most cloud-hosted LLM providers process your data on shared infrastructure. Some use your inputs for model training. For regulated industries—finance, healthcare, legal, government—this is a non-starter.
Our solution
We deploy agents on dedicated Apple Silicon infrastructure—M2 Ultra and M3 Max systems with up to 192GB unified memory. Models run locally, data never leaves your network, and you maintain full control over the compute stack.
All processing happens on hardware you control. No cloud round-trips, no third-party data processing.
Meet HIPAA, SOC 2, PCI-DSS, and internal governance requirements with infrastructure you audit directly.
For maximum security, agents can run fully air-gapped with no external network access whatsoever.
M2 Ultra & M3 Max with up to 192GB unified memory for high-performance local inference.
Security across the stack
Network policies
Per-agent ingress/egress rules. Agents only communicate with pre-approved endpoints.
Encrypted at rest
AES-256 encryption for all stored data, credentials, and agent memory.
Immutable audit logs
Every action traced end-to-end. Exportable to your SIEM or compliance tooling.
Prompt guardrails
Input validation and output filtering to prevent injection attacks and data leakage.
Cost anomaly detection
Real-time alerts on unusual token usage, API call spikes, or runaway agent loops.
Human-in-the-loop
Configurable approval gates for high-stakes actions before agents execute them.
Ready to agentify your org chart?
Let's discuss how we can build custom AI agents that automate your workflows, reduce costs, and scale your operations.