Security & Compliance
Security is not a feature we added.
It is the architecture.
Every design decision in AskSLM -- from hardware-bound encryption to model provenance tracking -- exists because regulated industries demand it. Compliance is not a checkbox. It is the reason we exist.
Architecture
Security architecture overview.
AskSLM processes everything locally. Your data never crosses a network boundary you don't control. There is no cloud component, no external API dependency, and no mode in which sensitive data leaves your infrastructure.
Local-only data flow
Every query, every response, and every training job runs within your infrastructure perimeter. There is no "hybrid cloud" fallback. The architecture is physically incapable of sending data externally during inference.
Hardware-bound encryption
Trusted Execution Environments (TEEs) provide hardware-level encryption. Even if someone physically accesses a server, models and data remain cryptographically locked to the authorized hardware.
Network isolation by design
The inference engine requires no outbound network connections during operation. Air-gapped deployment is fully supported for the most sensitive environments.
What Stays Local
Data Protection
Multilayered protection.
Every byte accounted for. Every access controlled.
Zero cloud usage
No data is sent to third-party clouds during inference, training, or any other operation. This is not a setting you enable -- it is a structural impossibility.
On-site processing
All inference, training, and data retrieval occurs within your hardware or SLM appliance. Your data paths are fully auditable and physically contained.
Encryption at rest and in transit
Data encrypted at rest with hardware-bound keys. All inter-component communication uses TLS. Trusted Execution Environments provide an additional hardware encryption layer.
Role-based access control
Granular RBAC ensures only authorized users and systems interact with specific models and data. Define roles by department, clearance level, or use case.
Segregated storage
Model weights and user data are stored in separate, isolated environments. Cross-environment leakage is architecturally prevented at the storage layer.
Policy enforcement
Automated policy enforcement blocks unauthorized data flows and access patterns. Policies are defined centrally and applied consistently across the platform.
Compliance
Built for the frameworks that govern your industry.
HIPAA
Architecture alignedHealthcare
SOC 2
In progressEnterprise
FISMA
Architecture alignedGovernment
ISO 27001
RoadmapInternational
Compliance status is presented honestly. "Architecture aligned" means the technical architecture supports the framework's requirements. Formal certification timelines available upon request.
Model Integrity
Provenance you can verify.
Every model running on your infrastructure is verified, versioned, and traceable. You know exactly what trained it, who built it, and when it changed.
Cryptographic signing
Every model build is cryptographically signed. The inference engine verifies signatures before execution, ensuring only authorized, unmodified models run on your hardware.
Version tracking and lineage
Complete version history for every model. Track every update, every dataset change, and every configuration modification with full lineage documentation.
Training data provenance
Transparent documentation of training sources for every model. Know exactly what data informed the model's behavior -- critical for regulatory audits and liability management.
Integrity checks before execution
Models undergo integrity verification before they process any data. Tampered or unverified models are rejected automatically at the engine level.
Model Lifecycle Security
Build
Model trained on verified, documented data sources by authorized vendor
Sign
Cryptographic signature applied to model build artifact
Verify
Integrity check validates signature and provenance before deployment
Deploy
Model deployed to your engine via encrypted pipeline
Monitor
Continuous version tracking, access logging, and anomaly detection
Audit
Full trail available for compliance review at any time
Governance
Audit & governance.
Complete visibility into every AI interaction. The audit trail your compliance team requires.
Audit trails
Every model interaction logged with timestamp, user, query hash, model version, and response metadata. Exportable for external compliance review.
Logging & monitoring
Real-time monitoring of system health, model performance, and access patterns. Alerts on anomalous behavior or policy violations.
Policy enforcement
Define and enforce data handling policies centrally. Automated checks ensure workloads align with internal and regulatory requirements.
Incident readiness
Documented incident response procedures. Threat detection and anomaly monitoring. Vulnerability scanning and environment hardening.
Talk to Us
Have security
questions?
We'll walk through our security architecture in detail, answer your compliance questions, and discuss how AskSLM meets your specific regulatory requirements.
No commitment. No data shared. We're happy to sign an NDA before the call.