The best external risk data feeds for GRC platforms

Published by Polecat. Polecat is one of the providers compared here. Competitor details are drawn from each company's own published materials as at October 2026, and we say plainly where another provider is the better fit.

The short answer

The best external risk data for GRC platforms depends on the risk you need in the register. Polecat suits enterprise strategic risk: scored, taxonomy-mapped events with an evidence trail and 20 years of history. RepRisk suits business conduct and ESG incidents. Dataminr suits real-time operational incidents. Interos and Prewave suit supplier risk. Signal AI suits register-led news monitoring. Factiva supplies licensed news content.

Why external risk data belongs in the GRC platform

External risk data belongs in the GRC platform because that is where risk owners, controls and board reporting already live. A risk register is good at recording risks once they are named and tracking the controls around them. It is weaker at the stage before that, when a development is still forming in regulators' consultations, NGO campaigns, enforcement against a peer or a supplier's region.

Most external data never reaches the register. It sits in a separate dashboard or an analyst's inbox, and someone has to translate it by hand into the organisation's risk categories, slowly, inconsistently and rarely with an audit trail. A data feed should remove that step, but feeds differ: some deliver raw articles, some incident alerts, some scores on a fixed vendor taxonomy.

How we assessed them

We assessed each provider on the five properties that make external data register-ready, plus scope.

1. Mapping to your taxonomy. Can the data be calibrated to the organisation's own risk categories, definitions and thresholds, or does it arrive on the vendor's fixed taxonomy?
2. Consistent scores. Is each item scored the same way every time, on a published scale, so that two numbers can be compared?
3. An evidence trail. Does every score or flag link back to its sources, so that an auditor or board member can see why it moved?
4. Long, comparable history. How far back does consistently scored data run? Trend analysis and peer comparison depend on it.
5. Delivery by API. Is there a documented API or data feed, and what does it carry: content, alerts or scores?
6. Scope. Which part of the risk universe does it cover: strategic, conduct and ESG, operational, supplier or research?

External risk data feeds at a glance

The table summarises how each provider compares.

Polecat

Polecat delivers Strategic External Intelligence: measured, comparable evidence on the outside world, weighted to one organisation's strategy and delivered by API into GRC and integrated risk management platforms. It is built for chief risk officers and enterprise risk teams who want external risk in the register, not beside it.

Why it matters. External data only earns a place in the register if it speaks the register's language. Polecat's Customer Intelligence Model calibrates to each client's own risk taxonomy, definitions and thresholds, so scores drop straight into the categories the team already uses. The same event can be a risk to one company and an opportunity to another, and the weighting reflects that.

How it works. Polecat monitors news, regulators and policy bodies, NGOs, academics and think tanks, earnings calls and AGMs, filings and enforcement, and investor and union sources across 195 countries and more than 1.4 million premium sources, and merges coverage into single material events. Each event is scored on severity, velocity, sentiment, authority, reach and history, benchmarked against 20 years of comparable events, and updates the client's Risk Index, out of 100. The full method is on our page explaining how Polecat scores events.

What you get. A consistent score per event and per risk category, with every score traced back to its source evidence for audit trails and board reporting. Each risk is projected 3 to 6 months ahead, with base, best and worst case scenarios and a probability for each. A horizon scan classifies themes as chronic, recurring, emerging, dormant, contained or fizzled, and peer benchmarking compares exposure like for like. The same method extends to recall, reputational and supply chain risk.

Where it lives. An API feeds scored events into GRC and integrated risk management platforms; MCP makes the same data available in AI assistants; daily alerts, dashboards and board reports serve everyone else. The entry point is a fixed-scope Risk Intelligence Audit at a published £25K.

Best for: chief risk officers who want strategic external risk scored on their own taxonomy, with an evidence trail and comparable history, flowing into the GRC platform.

RepRisk

RepRisk is a Swiss data provider that screens public news, regulatory and stakeholder sources for reported incidents of corporate misconduct and business conduct risk. It packages them as company and project risk metrics, chiefly for financial institutions, with corporates also among its listed clients.

Where it is strong: history, method and distribution. Its dataset runs back to January 2007, is updated daily and covers a very large number of companies, most of them non-listed, which suits screening suppliers, counterparties and projects. RepRisk intentionally excludes company self-disclosures, and its metrics are defined in a public methodology: the RepRisk Index (0 to 100, with current, peak and trend values), the RepRisk Rating (AAA to D), UN Global Compact violator flags and, since November 2025, thematic Due Diligence Scores mapped to frameworks such as SASB, SFDR and the German Supply Chain Act. AI screens and tags content, and human analysts review results before publication. Data is delivered through feeds and APIs, and through FactSet, Bloomberg and Snowflake.

What to consider: scope is business conduct and ESG incidents, so wider strategic drivers fall outside it. RepRisk states it does not verify the allegations it records, does not publish a forward-looking forecast, and its metrics are company-centric rather than weighted to the client's own strategy.

Best for: compliance, third-party risk and investment teams that need a long, consistently defined record of conduct and ESG incidents across many companies. For that job, RepRisk's published methodology and history make it the stronger feed. Our Polecat vs RepRisk comparison sets out where the two differ.

Dataminr

Dataminr is a New York-headquartered AI company that detects breaking events, threats and risks in real time from publicly available information, for corporate security, cyber, government and newsroom users. Its acquisition of ThreatConnect, completed by late November 2025, added cyber threat intelligence and risk quantification.

Where it is strong: speed. Its core output is the real-time alert, enriched in Dataminr Advanced for Corporate Security (September 2026) with agentic corroboration, context and forecasts of how an event may develop over the next few hours. Dataminr states that APIs and connectors are available and integrates with security operations tools including Splunk and Palo Alto Networks.

What to consider: the data is organised around incidents affecting assets, locations and people, not the enterprise's strategic risk categories. Dataminr publishes quantified risk for the cyber domain but not a normalised strategic risk index that can be tracked over time or benchmarked against peers. Direct pricing is quote-based.

Best for: feeding operational risk, security and business continuity modules with real-time incident data. For that use, Dataminr is the better choice than Polecat. Our Polecat vs Dataminr comparison explains the difference in horizon.

Factiva

Factiva is the business news and information research platform from Dow Jones, a division of News Corp. It aggregates licensed content from a very large number of publications, including The Wall Street Journal, Barron's and Dow Jones Newswires.

Where it is strong: provenance. Every article traces to a licensed source, content is tagged with a long-established taxonomy, Dow Jones Intelligent Identifiers, and Factiva APIs supply licensed content into customers' own AI applications. For teams building their own risk models, it is a rights-cleared content layer.

What to consider: Factiva's APIs supply content rather than scores. Dow Jones does not describe the Factiva research platform as producing risk scores, a forward view or weighting to a client's strategy, so the work of turning articles into register entries falls to the customer's analysts or downstream tools. Licensing is quote-based.

Best for: organisations that want licensed news as raw material for their own analysis or models. Our Polecat vs Factiva comparison explains how content and measurement fit together.

Signal AI

Signal AI is a London-headquartered company that applies AI to licensed news, broadcast, regulatory, social and other external content, for risk and communications teams.

Where it is strong: licensed content and integration. It names licensing relationships with Dow Jones Factiva, LexisNexis, Moody's NewsEdge, the Financial Times and The Washington Post. Its API suite includes risk endpoints for Risk Events, Risk Entity Scores and Risk Cohort Scores, and in March 2025 it announced a partnership to feed its risk data into a GRC platform's horizon scanning module. Risk Scanner, launched in June 2026, monitors a client's uploaded or suggested risk register against external content and scores escalating risks with an automated matrix. MCP and Microsoft 365 Copilot access followed in June and July 2026.

What to consider: Signal AI scores risks "by frequency and impact" but does not publish its scale, method or weighting, nor a normalised index for comparing companies or one company over time. Its forward view is described as early warning and horizon scanning rather than a stated forecast horizon. Pricing is quote-based.

Best for: risk teams that want licensed news monitored against an existing register, with a documented risk API and a published GRC partnership of its own. Our Polecat vs Signal AI comparison covers scoring and forward view in more detail.

Interos

Interos, which now brands itself interos.ai, is a US supply chain risk intelligence company. It maps multi-tier supplier networks from a large business-relationship knowledge graph and scores suppliers with its i-Score across six domains: finance, cyber, geopolitical, restrictions, catastrophic and ESG.

Where it is strong: operational integration. Interos documents a REST API in Standard and High-Volume tiers, read-only bulk access through Snowflake secure data sharing, and workflow connectors, including into procurement platforms such as Coupa and SAP Ariba. The iQ platform, announced in April 2026 in limited release, adds tariff exposure, product-level tracing against bills of materials and an iReputation module.

What to consider: the scores describe suppliers, not the client company's own reputational, regulatory or stakeholder exposure. The six domains are fixed, prioritisation is by supplier criticality, spend and location, and a lookback period and forecasting methodology are not published.

Best for: third-party risk and procurement teams that need supplier scores flowing into procurement and workflow systems.

Prewave

Prewave is a Vienna-based supplier risk management platform that monitors news, social media and other sources for events affecting suppliers across multiple tiers, scores supplier risk and supports supply chain due diligence regulation.

Where it is strong: procurement write-back and regulation. Connectors to procurement platforms such as SAP Ariba and Coupa write scores, metrics and alerts back to vendor records. Dedicated modules cover the German Supply Chain Act, the EU CSDDD, EUDR and forced labour rules, and Quantified Resilience, launched on 7 October 2026, estimates the cost of supplier disruption. AI connectors let assistants and agents query Prewave data.

What to consider: the platform is organised around suppliers and procurement workflows, the materials reviewed do not publish a scoring methodology, and public API documentation and a history start date could not be confirmed.

Best for: procurement, supply chain and compliance teams, particularly those with European due diligence obligations, who want supplier risk written into procurement records.

Which external risk data feed should you choose?

Choose by the part of the register you need to fill, and by who owns it.

Many organisations will run more than one feed, with each mapped to a different module. A useful test before buying is to take three risks already on your register and ask each provider to show, on your own categories, the score, the evidence behind it and how it compares with a year ago. Our guide to what Strategic External Intelligence is sets out ten questions to ask any provider, and our guides to AI risk intelligence tools with API and MCP access and the best risk intelligence platforms for CROs cover the wider field.

Frequently asked questions

What is external risk data for GRC?

External risk data for GRC is information about developments outside the organisation, such as regulatory change, enforcement, NGO campaigns, supplier disruption or misconduct allegations, delivered into a governance, risk and compliance or integrated risk management platform. It is most useful when it arrives scored, mapped to the organisation's own risk categories and linked to its sources, so it can sit beside internal controls in the register.

What makes external risk data register-ready?

Five things. It maps to the organisation's own risk taxonomy rather than the vendor's. It carries a consistent score calculated the same way every time. Each score links back to its source evidence. It has a long, comparable history for trend and peer comparison. And it arrives by API, so it lands in the GRC platform rather than in a separate tool that someone must remember to check.

Which external risk data feed is best for a chief risk officer?

For enterprise-wide strategic risk, Polecat is built for the job: events scored on six factors against 20 years of comparable history, calibrated to the client's own taxonomy, traced to source evidence and projected 3 to 6 months ahead. For business conduct and ESG incident data with a published methodology, RepRisk is the better fit. For supplier risk, Interos or Prewave suit procurement-led programmes.

Can Dataminr feed a GRC platform?

Dataminr states that APIs and connectors are available, lists an Advanced API as upcoming for corporate security, and integrates with security operations tools. Its data is built around real-time alerts on breaking events, which suits incident and resilience workflows. It does not publish a normalised strategic risk index, so it is better placed in operational risk and security modules than in an enterprise strategic risk register.

Does Polecat integrate with GRC platforms?

Polecat delivers scored events by API for feeding GRC and integrated risk management platforms. The Customer Intelligence Model calibrates scoring to the client's own risk taxonomy, definitions and thresholds, so the output maps onto the categories already in the register, and every score carries a link to its source evidence. Polecat also offers dashboards, board reports and MCP access for AI assistants.

About Polecat

Polecat delivers Strategic External Intelligence: 20 years of measured, comparable evidence on the outside world, so risk leaders can see around corners.

The quickest way to judge it is to try the instant demo. Teams that want to see it on their own register can book the fixed-scope Risk Intelligence Audit, priced at £25K, which stands up both layers in three weeks and benchmarks the risks moving fastest against peers.

Related reading: The best AI risk intelligence tools with API and MCP access and The best risk intelligence platforms for CROs in 2026.