Drata Unveils Breakthrough AI Agent to Redefine Vendor Risk Management

Drata, a leader in AI-native Trust Management, has announced the first public preview of its AI Agent for Vendor Risk Management (VRM). This autonomous, context-aware assistant is designed to transform how enterprises evaluate and manage vendor risk. The introduction of this AI Agent marks a significant step in Drata's vision to shift from manual, fragmented governance, risk, and compliance (GRC) tools to autonomous Trust Management powered by AI agents. Trust Management underpins governance, risk, compliance, and assurance (GRC-A), enabling continuous confidence in an organization's security, compliance, and risk posture. Legacy GRC platforms often rely on manual processes scattered across spreadsheets and siloed tools, which can lead to costly errors, failed audits, and incomplete risk visibility. Drata aims to flip this paradigm by transforming GRC and assurance from a cost center into a proactive business accelerator based on four pillars of trust. Drata already leads in AI solutions designed for scale, speed, and clarity, offering products like SOC 2 AI Summaries, Continuous Control Monitoring AI Summaries, and AI Questionnaire Assistance. Recently, Drata launched the Model Context Protocol (MCP), which powers AI workflows with live, actionable context and integrates with tools such as Claude and Integrated Development Environments (IDEs). The company is accelerating towards a fully agentic platform where specialized AI agents autonomously evaluate risks, validate evidence, trigger workflows, and manage trust.

Key Features of the VRM Agent

• Automated Criteria Extraction and Mapping: The VRM Agent ingests vendor questionnaires or custom criteria in formats like PDF, DOCX, and XLSX, establishing a consistent and scalable baseline for risk assessments while eliminating manual setup.
• AI-Powered Document Review and Risk Scoring: Integrated with SafeBase Trust Center, the agent collects vendor artifacts and analyzes them against defined criteria to flag risks, assign scores, and generate clear, structured reports with source-backed findings.
• Dynamic Report Generation and Follow-Up Orchestration: It produces executive summaries, issues follow-up questionnaires for gaps or concerns, and automatically re-assesses vendors as new responses are submitted, providing real-time visibility.

Industry Perspectives

"Drata is pushing the boundaries of what GRC can be with Agentic Trust Management," said Ali Firooz, Security Engineering Manager at Homebase. "Their AI vision goes beyond automation; it's about enabling a future where trust is dynamic, intelligent, and woven into every decision. It's changing how we think about assurance, and we're excited to be on this journey with them." Adam Markowitz, cofounder and CEO of Drata, added, "Vendor Risk Management requires significant oversight, making it one of the most resource-draining and error-prone areas of trust today. Our new AI agent delivers speed, precision, and continuous insight that wasn't possible before. This is a defining chapter for our vision, and with our Trust Management platform powered by agentic AI, enterprises can move faster, gain efficiency, and scale trust across every part of the business." Explore the Drata AI Agent for Vendor Risk Management here or read the Drata blog for more details.

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About Drata

Drata is the trust layer between great companies and those they do business with. Over 8,000 organizations globally, including over a third of the Cloud 100, use Drata to automate governance, risk, compliance, and assurance, resulting in a strong security posture, streamlined security reviews, lower costs, and less time spent preparing for audits. The company is backed by ICONIQ Growth, Notable Capital, Alkeon Capital, Salesforce Ventures, and other leading investors. For more information, visit drata.com.

Media Contact

Email: press@drata.com

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Source: Drata Reveals Breakthrough AI Agent to Redefine Vendor Risk Management (PR Newswire, August 5, 2025)

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Frequently Asked Questions (FAQ)

Vendor Risk Management Automation

Q: What is Drata's AI Agent for Vendor Risk Management (VRM)? A: It's an autonomous, context-aware assistant designed to automate and enhance the process of evaluating and managing vendor risk for enterprises. Q: How does the AI Agent transform traditional VRM processes? A: It moves away from manual, fragmented methods using spreadsheets and siloed tools, towards an autonomous approach powered by AI agents, aiming to reduce errors, improve audit outcomes, and provide better risk visibility. Q: What are the key capabilities of the VRM Agent? A: The agent can automatically extract and map criteria from vendor questionnaires, perform AI-powered document review and risk scoring, and generate dynamic reports with follow-up orchestrations. Q: What file formats can the VRM Agent process? A: The agent can ingest vendor questionnaires or custom criteria in formats such as PDF, DOCX, and XLSX. Q: How does the AI Agent help in risk scoring and reporting? A: It analyzes vendor artifacts against defined criteria, flags risks, assigns scores, and generates structured reports with source-backed findings, often integrating with platforms like SafeBase Trust Center. Q: Can the VRM Agent handle follow-up actions with vendors? A: Yes, it can issue follow-up questionnaires for identified gaps or concerns and automatically reassess vendors as new information is provided.

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Crypto Market AI's Take

The advancement of AI agents in critical business functions like Vendor Risk Management, as demonstrated by Drata's new AI Agent, highlights a significant trend towards automation and enhanced efficiency. This mirrors the growing integration of AI in the financial sector, particularly within cryptocurrency. Our platform, AI Crypto Market, leverages similar AI and machine learning principles to provide cutting-edge AI-powered crypto trading bots and sophisticated market analysis. By automating complex tasks and providing data-driven insights, AI agents are fundamentally changing how businesses operate, from GRC to financial trading. This evolution toward more autonomous systems underscores the need for robust, secure, and intelligent platforms, a principle we embrace in our own AI-driven financial solutions.

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