Fair Balance Detection
Automated detection of fair balance requirements in generated content. Efficacy claims are always accompanied by appropriate safety information.
Every customer gets their own everything. No shared databases, no shared GPUs, no shared namespaces. Your intelligence environment is yours alone.
Deploy where your security posture requires. Every deployment option delivers the same intelligence capabilities.
Deployed inside your existing VPC with your IAM policies, your compliance controls, and your audit infrastructure.
Every request authenticated. Every transmission encrypted. Every session verified. No implicit trust at any layer.
All data encrypted at rest with AES-256. Customer-managed keys available across all deployment options.
All data encrypted in transit with TLS 1.3. No fallback to older protocols. Certificate pinning available for high-security deployments.
Enterprise identity integration. SAML 2.0, OIDC, and direct SSO federation with your existing identity provider. No separate credentials to manage.
Multi-factor authentication enforced at every access point. Role-based access controls with granular permissions down to the module and data-source level.
Audited, certified, and continuously monitored. Not a checkbox exercise — an operating discipline.
Continuous monitoring of security, availability, and confidentiality controls. Audited annually by independent third parties.
Information security management system certified to international standards. Risk-based approach to protecting intelligence assets.
Full HIPAA compliance for protected health information. BAA available. Administrative, physical, and technical safeguards in place.
Intelligence generated for regulated industries must meet regulatory standards. Every output carries provenance, every claim traces to evidence, and every interaction is auditable.
Automated detection of fair balance requirements in generated content. Efficacy claims are always accompanied by appropriate safety information.
Ensures risk information meets prominence requirements. No fine print, no buried caveats — risk disclosures are presented with appropriate weight.
Automatic detection and prevention of off-label promotional content. The system enforces indication boundaries at the intelligence layer, not as an afterthought.
Every AI-generated output is labeled with provenance metadata — what model produced it, what evidence grounded it, and what confidence level it carries.
For device programs, full design controls traceability from design input through verification and validation. Audit-ready at any point in the development lifecycle.
Reach out to commission your custom, evidence-grounded assessment