ProcessUnity TPRM Platform

Profiles each third party at intake, capturing criticality, data sensitivity, service type, geography and regulatory requirements, to determine which risk domains apply to it and to scope the depth and cadence of assessment accordingly.

Scores each third party's inherent and residual risk and measures its potential impact on the business or supply chain to produce an impact estimate, aggregating domain-level results into a composite score that can be rolled up across the portfolio and correlated with enterprise objectives and control performance.

Distributes, collects and scores third-party assessments and security questionnaires from a maintained template library that spans risk domains and standards, with evidence requests, reminders, reviewer collaboration and scoring rules; stronger implementations scope questionnaire depth and cadence dynamically from the third party's risk profile rather than sending one template to every vendor.

Watches third parties between assessments for new risk events, such as security incidents, financial distress, sanctions or adverse-media hits and regulatory actions, and surfaces them through dashboards, reports, alerts, reminders and notifications; stronger implementations re-score the third party and trigger escalation or corrective action when an event crosses a defined threshold instead of only updating a dashboard.

Brings risk-domain data subscriptions into each third party's record, such as outside-in cybersecurity ratings, external attack surface findings, financial health, sanctions and adverse media, and ESG data, whether produced natively or ingested from a ratings or data-aggregator provider, and uses that data in scoring and ongoing monitoring so an indicator crossing a threshold updates the risk score and starts a workflow rather than only refreshing a dashboard.

Turns identified risks into tracked findings and issues with owners, due dates and action plans, routes them through escalation and exception or risk-acceptance approval, recommends or preconfigures the remediation workflow, and reports status until closure.

Maps the relationships between the organization, its third parties and their fourth and Nth parties as a navigable graph, including geographic views by headquarters or facility, so hidden dependencies and shared providers are visible, and reports risk metrics over that map with export of third-party risk data for presentations and regulators.

Assigns each third party to a risk tier from its inherent risk profile and business criticality, with tier definitions and thresholds the customer can change, and uses the tier to set assessment depth, review cadence, approval routing and monitoring intensity so that workflows adjust automatically when a third party's tier changes.

Investigates higher-risk third parties beyond the questionnaire: beneficial ownership and corporate structure, financial health, litigation and regulatory history, reputational signals and interdependencies, natively or through integrated due-diligence providers, and produces a due diligence report that supports the onboarding or renewal decision.

Reads third-party-supplied documents such as SOC 2 reports, ISO certificates, policies and prior questionnaires with AI, extracts the relevant answers and evidence to prepopulate assessment responses, and evaluates submitted responses for gaps or inconsistencies so reviewers work the exceptions rather than reading every document.

Runs a third party from intake to exit as one governed workflow: centralized onboarding requests with approval routing, automated due-diligence steps and live status tracking, and offboarding that is triggered by contract expiry or a risk threshold and deprovisions the third party's access and records across connected enterprise systems, with an audit trail across the whole life cycle.

Keeps evidence and documents collected from a third party in a central library with version and expiry tracking so they can be reused across assessments, engagements and business units instead of being requested again for every review.

Gives third parties their own portal to complete assessments, upload evidence, report issues and keep their documentation current, with customer branding and multilingual support, so much of the assessment workload shifts to the third party rather than the risk team.

Ships maintained content for third-party regulations and regulated industries as prebuilt assessments, workflows, libraries and reports, for example DORA, the German Supply Chain Act, APRA and sanctions and anti-bribery laws, and updates that content as regulations change so the program does not have to build regulatory coverage itself.

Inventories the AI systems and AI-enabled services a third party uses or embeds in what it delivers, and assesses them against the organization's AI governance requirements, such as data use, model transparency and regulatory obligations, as a risk domain within onboarding and ongoing review.

Applies AI across the third-party data set to classify and score risk, flag red flags and emerging risk, recommend responses, and generate summaries and risk reports on demand, including natural-language questions over the third-party repository, rather than relying on analysts to read every record.