SECURITY & COMPLIANCE
HIPAA, SOC 2, GDPR, CCPA - we've built for all of them. Not by adding compliance wrappers after the fact, but by treating each standard as an engineering requirement from day one. Your data stays in your infrastructure. Your audit trail is complete. Your team stays in control.
Request Security Architecture Review01 - SECURITY STANDARDS
Not "compliant by coincidence." Every standard below is an explicit design constraint in our architecture.
We are a HIPAA Business Associate. BAA provided with every healthcare deployment. PHI isolation architecture. Technical, Administrative, and Physical safeguards implemented.
View HIPAA details →System designs align with SOC 2 Trust Service Criteria: Security, Availability, Confidentiality, Processing Integrity, and Privacy. Audit trail architecture supports SOC 2 reporting.
View SOC 2 details →Never trust, always verify. Role-based access to every workflow component. Principle of least privilege applied to every agent. No implicit trust between workflow steps.
View Zero Trust details →Right-to-delete workflows. Consent management integration. Data residency controls (EU/US). DPA templates provided. PII minimization in all AI calls.
Payment card data never processed or stored by AI agents. Agents redirect to PCI-DSS compliant payment processors (Stripe Level 1). No cardholder data in LLM prompts.
Quality management audit trails for manufacturing deployments. Full inspection record traceability for IATF 16949 automotive requirements. Change control documentation.
For healthcare clients: how we protect PHI at every layer of our agent architecture.
Raw PHI is tokenized before any LLM call. The token map lives in encrypted HIPAA-eligible storage (AWS HealthLake or equivalent). The LLM never sees the actual patient name, DOB, SSN, or MRN - only anonymized references that resolve in our secure layer after AI processing. This is our default pattern for all healthcare deployments.
We are a HIPAA Business Associate and execute a BAA with every healthcare client before any engagement begins. For AI providers (OpenAI, Anthropic, AWS), we only use HIPAA BAA-covered service tiers when PHI flows through. If a provider does not offer a HIPAA BAA, PHI does not go to that provider - end of story.
Every PHI access event is logged: who accessed it, when, what data field, which workflow step, and what action was taken. Logs are immutable, timestamped, and exportable on demand for HHS OCR audit requests. Retention: minimum 6 years per HIPAA requirements, automated.
For clients who require data to never leave their facility: we support fully on-premise deployments. The AI inference runs on local servers (NVIDIA hardware or equivalent). No data leaves your network perimeter. Available for Clinical Documentation Agent and PHI De-identification Agent.
HIPAA grants patients rights to access, amend, and request deletion of their PHI. Our systems include pre-built workflows for: access requests (deliver within 30 days), amendment requests (update across all data stores), and restriction requests (flag records from specific disclosures).
Our system designs map to the five SOC 2 Trust Service Criteria.
Logical access controls. MFA enforced for all admin interfaces. Encryption at rest (AES-256) and in transit (TLS 1.3). Vulnerability scanning on deployed components. Signed webhooks to prevent replay attacks.
Uptime monitoring on all production workflows. Automatic retry with exponential backoff. Dead letter queues for failed jobs - nothing is silently dropped. Alerting within 5 minutes of availability degradation.
Confidential data classified and handled per defined policy. Role-based access: agents only access data required for their specific function. No cross-agent data sharing without explicit permission grant in the workflow design.
Idempotency enforced on all workflows - duplicate runs produce the same result without side effects. State tracking prevents half-runs. Every workflow step is logged with input, output, and timestamp for reconciliation.
Personal information collected only with appropriate notice and consent. Used only for stated purpose. Retained only as long as necessary. Right-to-delete workflows included. Data sharing with third-party AI providers governed by DPA. Cross-border transfer controls for GDPR/international deployments.
Never trust, always verify - applied to every component in our AI agent architecture.
Every AI agent has exactly the permissions it needs - no more. The Invoice Processor can read invoices and create payment records. It cannot delete records, access HR data, or call external APIs outside its defined scope. Permissions are granted at workflow design time and audited at deployment.
Each step in a multi-agent workflow verifies the integrity of data from the previous step before processing. Agent A's output is validated and sanitized before Agent B receives it. This prevents prompt injection attacks where malicious content in one data source could manipulate downstream agents.
Credentials are stored in encrypted secret managers (AWS Secrets Manager, HashiCorp Vault, or equivalent). Never in code, environment files, or workflow configurations in plain text. Credentials rotated on schedule. Access to credential stores requires MFA and is logged.
All inbound webhooks are signature-verified before processing. Replay attacks prevented via timestamp validation and nonce checking. Rate limiting applied at the ingestion layer to prevent flood attacks. All webhook payloads validated against expected schema before any agent action.
Every high-consequence action - approvals above financial thresholds, data deletions, external communications - requires human confirmation. Kill switches allow any workflow to be paused mid-execution without data loss. Manual override paths exist for every automated decision that affects production data.
AES-256 encryption for all stored data. Database-level and field-level encryption for sensitive attributes. Encrypted backups with separate key management.
TLS 1.3 minimum for all API communications. Certificate pinning for high-sensitivity endpoints. No unencrypted HTTP in production environments.
HSM-backed key management via AWS KMS or equivalent. Customer-managed keys (CMK) option for enterprise deployments. Key rotation schedules enforced programmatically.
Your data stays where you need it to stay.
We build in your infrastructure. You own the environment. Your data never flows through Devverse Labs servers - we are a builder, not a data processor in your chain.
EU clients can require all data to stay in EU AWS/Azure regions. US healthcare clients can use HIPAA-eligible US regions only. No cross-border transfer without explicit configuration and legal review.
We work with the AI providers your compliance requires. OpenAI (HIPAA BAA available), Anthropic Claude (enterprise), AWS Bedrock (within your VPC), or open-source models on your own hardware. You choose based on your regulatory requirements.
Automated data retention policies. Data expires on schedule without manual intervention. Legal hold workflows pause deletion for records under investigation. Deletion is verifiable and auditable.
02 - FAQ
No. We build in your environment, in your infrastructure. We may see data during the build phase in staging environments, which are governed by NDA. Once deployed, production data does not flow through any Devverse Labs systems.
Our architecture minimizes exposure. PHI and PII are tokenized before LLM calls - a breach of the LLM provider exposes only anonymized tokens, not your actual data. We also support on-premise LLM deployments where no data leaves your network.
Multi-layer defense: input sanitization at ingestion, schema validation before processing, output validation before action, and sandboxed execution environments. Agent permissions limit damage even if injection succeeds. We treat all external data as untrusted.
Yes. We offer a standalone Security Architecture Review engagement where we document the proposed system's security controls, threat model, and compliance mapping - before any build starts. Pricing on request.
We design for security and can coordinate penetration testing via licensed third-party firms. For enterprise deployments, we recommend a third-party pen test before production go-live and can provide the system documentation required for testers.
Our Maintain plan clients get a defined incident response SLA. On detection: immediate notification, automated containment (workflow pause), root cause analysis within 24 hours, and documented remediation. All incidents logged for compliance reporting. Kill switches are part of every production deployment.
- NEXT STEP
ITAR, FedRAMP, HITRUST, ISO 27001 - if you have specific requirements, tell us what they are. We'll tell you exactly how we'd architect around them, or be honest with you if your requirement is outside our current scope.
