FiboRisk Model Monitoring
fiborisk.ai
What it is
FiboRisk Model Monitoring is web software for monitoring model performance, drift, bias, latency, overrides, and realized outcomes against an accepted model and policy version. Listed capabilities include performance monitoring, drift detection, bias and segment review, and alert management. Evidence objects connect datasets, models, policies, decisions, reviewers, and release states. Evidence records can version dataset and feature details, model and policy versions, acceptance status, reviewer role, and decision timestamps; records are attributable and exportable within the agreed delivery scope. The product is aimed at validation or audit teams and defines roles for validation, approval, operation, and audit. Delivery uses a dedicated tenant or agreed private deployment. Production access follows model and environment acceptance, with named-user invitations managed by customer administrators. Security, privacy, data, retention, transfer, encryption, export, and deletion controls are defined for each deployment boundary. Integrations and costs are confirmed in the statement of work.
Spec sheet
- Purpose
- Monitors model performance, drift, bias, latency, overrides, and realized outcomes against the accepted model and policy version.Read 4 Oct 2026 · fiborisk.ai
- Intended users
- The product retains evidence for validation or audit teams and defines explicit roles for validation, approval, operation, and audit.Read 4 Oct 2026 · fiborisk.ai
- Integrations
- Approved integrations are scoped as part of the platform environment, while the pricing page says integrations and related costs are confirmed in the SOW.Read 4 Oct 2026 · fiborisk.ai
- Company
- The maker identifies itself as FiboRisk and describes its approach as combining quantitative structure with decision context, human authority, private delivery, and retained evidence.Read 4 Oct 2026 · fiborisk.ai
- Access and deployment
- The product is delivered in a dedicated tenant or agreed private deployment, with production access after model and environment acceptance and named-user invitations managed by customer administrators.Read 4 Oct 2026 · fiborisk.ai
- Commercial process
- The stated path is diagnostic, statement of work, deployment, and model acceptance; the pricing calculator says it is not a quote or offer.Read 4 Oct 2026 · fiborisk.ai
- Compliance claims
- The public security page says FiboRisk does not claim controls or certifications that have not been contractually defined and independently established.Read 4 Oct 2026 · fiborisk.ai
- Data controls
- Approved customer data, access, transfer, encryption, retention, export, and deletion requirements are defined for the agreed deployment boundary.Read 4 Oct 2026 · fiborisk.ai
- Evidence records
- Dataset and feature version, model and policy version, acceptance status, reviewer role, and decision timestamp are versioned, attributable, and exportable according to the agreed delivery scope.Read 4 Oct 2026 · fiborisk.ai
- Evidence trail
- Evidence objects connect the applicable dataset, model, policy, decision, reviewer, and release state.Read 4 Oct 2026 · fiborisk.ai
- Monitoring capabilities
- The listed capabilities are performance monitoring, drift detection, bias and segment review, and alert management.Read 4 Oct 2026 · fiborisk.ai
- Security scope
- FiboRisk says applicable security, privacy, validation, risk, business, and operational controls are confirmed for each customer environment, and the executed SOW controls that environment.Read 4 Oct 2026 · fiborisk.ai
Plans and prices
Strong points and limits
Strong points
- Monitors performance, drift, and bias
- Links evidence across model decisions
- Exports versioned evidence records
- Supports private deployment options
- Defines validation and audit roles
Limits
- No free plan or free trial
- Pricing requires diagnostic and statement of work
- Final integrations and controls are deployment-specific
- Production access follows model acceptance
Who it suits
It suits validation and audit teams that need retained, attributable evidence around model decisions and releases. Organizations requiring private deployment and customer-defined controls can scope those requirements through a statement of work.
Verdict
FiboRisk Model Monitoring emphasizes governed evidence and monitoring rather than an off-the-shelf fixed configuration. Buyers should expect a diagnostic, agreed SOW, deployment, and acceptance process before production use.
Where Specifiction places it
- Machine Learning Model Monitoring Software#16 of 206.9