Hyperproof has officially launched its AI-native Third-Party Risk Management (TPRM) platform, marking a significant shift in how organizations manage vendor risk. The company designed the platform to eliminate the inefficiencies of manual, questionnaire-driven processes. Instead, it introduces a modern approach built on evidence-based risk intelligence. Notably, this launch builds on Hyperproof’s earlier investments, including the 2025 rollout of Hyperproof AI and the strategic acquisition of a leading AI-native vendor management solution. As a result, the company has expanded its capabilities beyond compliance automation into a comprehensive, AI-driven Governance, Risk, and Compliance (GRC) ecosystem.

As vendor ecosystems continue to expand globally, organizations are facing increasing regulatory scrutiny. Consequently, traditional TPRM methods such as spreadsheets, static questionnaires, and disconnected tools are becoming obsolete. These outdated approaches not only slow down vendor onboarding but also create operational bottlenecks and reduce visibility into enterprise-wide risk exposure. Therefore, businesses are actively seeking more dynamic and scalable solutions.

“Third-party risk has outgrown the previous generation of tools,” said Craig Unger, CEO and Founder of Hyperproof. “In an era where transparency and real-time oversight define the modern enterprise, organizations can no longer afford to rely on point-in-time assessments that create operational bottlenecks. We are moving our customers toward a future of smarter answers, fewer questions, and continuous confidence across the vendor lifecycle.”

In response to these challenges, Hyperproof’s AI-native TPRM platform introduces a new operating model. Specifically, it analyzes real vendor evidence, automates complex workflows, and directly aligns third-party risk with broader enterprise risk strategies. At its core, the platform leverages an advanced AI engine capable of ingesting and analyzing vendor artifacts such as SOC 2® reports, penetration test results, and security policies. This enables organizations to generate structured, defensible risk assessments with clear and traceable justifications.

Moreover, instead of relying solely on vendor-submitted responses, organizations can now validate risk using actual evidence. This shift allows for standardized scoring and continuous monitoring across major compliance frameworks, including ISO 27001, NIST, HIPAA, PCI DSS, CAIQ, and VSAQ. Additionally, the AI engine continuously tracks external signals across legal, financial, security, and reputational domains. As a result, it provides real-time insights into any meaningful changes in a vendor’s risk posture, replacing outdated, point-in-time assessments with a lifecycle-based approach.

Furthermore, Hyperproof has designed the platform to support organizations at every stage of maturity. Whether a company is just beginning to build vendor risk visibility or is ready to deploy advanced AI-driven insights, the modular TPRM platform scales accordingly. It supports the full vendor lifecycle from onboarding and risk identification to continuous monitoring and compliance management without requiring costly platform migrations.

Another key advantage is its integration within the broader GRC ecosystem. Unlike standalone tools, Hyperproof connects third-party risk data with internal controls, policies, audit evidence, and risk registers. This unified framework eliminates data silos and delivers a comprehensive, real-time view of risk across both internal and external environments.

Ultimately, organizations adopting Hyperproof’s TPRM platform benefit from faster vendor reviews, streamlined onboarding, and consistent, audit-ready risk scoring. By transitioning from manual processes to automated, evidence-driven insights, businesses can transform third-party risk management into a more efficient, reliable, and strategic function.

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