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TrustShare

TrustShare is a security questionnaire automation tool combined with a dynamic trust portal. It uses AI to pre-fill responses, leveraging an organization's GRC program and documentation, which I find critical for efficient SOC2 compliance and sales enablement.

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Questions & Answers

What is TrustShare?
TrustShare is a dynamic trust portal and AI-powered platform designed to automate the completion of security questionnaires. It helps organizations streamline security reviews and accelerate sales by providing accurate and up-to-date security posture information.
Who is TrustShare designed for?
TrustShare is designed for GRC and sales teams within organizations, particularly those in complex enterprises with multiple products or business units, who frequently deal with security questionnaires and reviews. It benefits companies aiming to prove their security ROI and accelerate sales processes.
How does TrustShare differ from traditional security questionnaire management tools or answer libraries?
TrustShare distinguishes itself by syncing information in real-time directly from an organization's security and privacy programs, rather than relying on static, potentially outdated answer libraries. Its GraphAI model provides hallucination-resistant, context-aware answers by training on specific controls, policies, and knowledge bases.
When should an organization consider implementing TrustShare?
An organization should consider TrustShare when it needs to significantly reduce the time and resources spent on security questionnaires and reviews, especially to achieve compliance certifications like SOC2 or accelerate sales cycles by transparently demonstrating their security posture to prospects.
What data sources does TrustShare's AI use to answer security questionnaires?
TrustShare's GraphAI utilizes a blend of ML and generative AI that trains on an organization's specific controls, policies, documents, and knowledge base. It also incorporates a deep GRC lexicon and is trained on security questionnaires to provide accurate, context-aware responses.