Legacy third party risk management approaches are failing 

As regulatory expectations increase under DORA, NIS2, GDPR, AI Act and sector-specific regulations, TPRM teams face an impossible challenge: 

  • More suppliers to assess 
  • More evidence to review 
  • More regulatory obligations 
  • More scrutiny from auditors and regulators 
  • No corresponding increase in resources 

Most organizations start with screening vendors for sanctions, PEPs, watchlists, and adverse media to generate initial alerts and identify red flags. They then assess the vendors via questionnaires, self-attestations, and evidence reviews. 

However, these assessments are typically static and point-in-time, resulting in slow processes, inconsistent decisions, limited coverage, and rising compliance risk. Even together, alerts and assessments only provide a partial static view. TPRM teams need continuous, connected insight into both external signals and control effectiveness. 

caterpillar to butterfly transformation

Together, CoreStream GRC orchestrates the TPRM workflow, SANNOS assesses vendor evidence and controls, and Xapien adds the outside-in due diligence view.

This gives teams a clearer, faster and more defensible understanding of both what a vendor says about its controls and what external intelligence shows about its risk profile.

“The questionnaire is not dead. But the blanket questionnaire is. The future is targeted, evidence-first, and proportionate to risk.”

Paul Cadwallader Corestream GRC employee

Paul Cadwallader

GRC Strategy Director, CoreStream GRC

City buildings from below

Assess your suppliers once – comply across many frameworks

We evaluate provided policies, certifications, reports, contracts, plans and documents.

 So, a single assessment provides visibility across multiple regulatory obligations simultaneously, as they are automatically evaluated against

  • DORA
  • NIS2
  • ISO 27001
  • SOC 2
  • CMMC
  • NIST
  • AI Governance
  • GDPR
  • Internal control requirements
  • ABAC
  • Financial crime risk
  • Sanctions, watchlists and PEP screening
  • ESG, human rights and reputational risk signals
  • Beneficial ownership and corporate structure visibility

Handy go-to guide on revolutionizing your vendor risk program

A stronger vendor risk management program starts with independent intelligence, assesses the evidence already available, and uses targeted questions where further clarification is genuinely needed.

This helps teams reduce assessment fatigue, shorten onboarding timelines, and apply their judgment to the risks that matter most. 

This new approach benefits both sides, read the full guide to learn more.

FAQ: AI-Powered Vendor Risk Management and Third-Party Risk Management

What is third party risk management (TPRM)?

Third-party risk management, or TPRM, is the process organizations use to identify, assess, monitor and reduce the risks created by suppliers, vendors, outsourcing partners, technology providers and other external parties. A modern TPRM program typically includes vendor inventory, risk tiering, due diligence, evidence review, contract oversight, remediation tracking and continuous monitoring.

Why are legacy vendor risk management processes no longer enough?

Legacy vendor risk management processes often rely on manual questionnaires, self-attestations and point-in-time evidence reviews. These approaches can be slow, inconsistent and difficult to scale as regulations, supplier volumes and risk signals increase. Organizations now need a more continuous, evidence-based approach that combines internal assessment data with external due diligence intelligence.

How does AI improve third-party risk management?

AI improves third-party risk management by helping teams review supplier evidence faster, identify gaps in controls, map requirements to multiple frameworks and prioritize vendors based on risk. Instead of relying only on manual reviews, AI-powered TPRM can support faster onboarding, more consistent assessments and better audit readiness.

What is AI powered vendor risk management?

AI-powered vendor risk management uses automation, machine learning and evidence analysis to assess, monitor and manage supplier risk across the vendor lifecycle. It can help organizations move from static questionnaires to a more evidence-driven model that combines vendor-submitted documentation, external due diligence and ongoing monitoring.

How can organizations reduce vendor questionnaire fatigue?

Organizations can reduce vendor questionnaire fatigue by using a risk-based, evidence-first approach. Rather than sending the same blanket questionnaire to every supplier, teams can reuse existing evidence, tailor questions to the vendor’s risk profile and focus follow-up activity on gaps, exceptions and high-risk areas.

Why is continuous monitoring important in vendor risk management?

Continuous monitoring is important because vendor risk changes after onboarding. A supplier may experience a cyber incident, financial issue, adverse media event, ownership change, sanctions exposure or control failure between periodic reviews. Continuous monitoring helps TPRM teams identify emerging risks earlier and respond before they become material issues.