AI-Driven Vendor Risk Management for Manufacturers
The Importance of Vendor Risk Management in Manufacturing
Manufacturers must effectively manage vendor risk as they are dealing with increasingly complex vendor networks. A single disruption can have significant ripple effects, impacting productivity, profits, and reputation. Recent global events have underscored the importance of a resilient supply chain, making vendor risk management indispensable. Effective vendor risk management is about more than fulfilling compliance requirements – it’s a strategic imperative.
ProcessBolt is transforming the vendor risk management process by integrating attack surface management with AI-driven assessment automation. The fully-integrated, AI-driven platform leverages attack surface management data, vendor evidentiary documentation, and assessment data to complete vendor risk assessments, removing an enormous amount of friction that plagues the current vendor risk management process.
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ProcessBolt AI All-In-One Integrated Platform
Collect and Verify Vendor Documentation
Instead of sending out long and detailed risk assessments to begin the process, vendors put all the requested policy documents and audits into the ProcessBolt platform. ProcessBolt AI then reviews all documentation using the latest generative AI technology and populates responses to assessment questions, adding citations from the documentation to each question so that the vendor and enterprise can verify assessment responses.
Simultaneously Correlate Attack Surface Data
ProcessBolt’s ThreatScape actively correlates attack surface data with assessment responses, ensuring the alignment and consistency between the two. By simultaneously analyzing the vendor’s internet-facing attack surfaces and assessment responses, ThreatScape validates the accuracy of the assessment by verifying its correspondence with real-world attack surface data.
Seamless Assessment Review
ProcessBolt then shares the assessment answers with the vendor. All the vendor has to do is review and confirm the veracity of the AI-generated responses and answer any questions that could not be answered by company documentation or attack surface data. The fully completed assessment is returned to the organization and they can quickly verify the accuracy of the answers by leveraging citations from policy documents and attack surface data.