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Security questionnaires have become a ubiquitous part of the B2B sales cycle, helping technology buyers gain a deep understanding of a vendor’s security posture. Despite the crucial function they aim to fulfill, they are perhaps better known for their drawbacks: working across a multitude of questionnaire platforms; manually searching for responses across databases, drives, and communications channels; and writing and rewriting similar — but different — answers time and again.
While more and more organizations are turning to Trust Centers to streamline the process of sharing security information with buyers, they may still feel the pain of unavoidable security questionnaires. In these cases, artificial intelligence can be a powerful tool to reduce the manual labor involved and significantly reduce the time to completion.
In this webinar, SafeBase head of innovation JJ Metzinger and CEO Al Yang, share some of the critical ways AI can help reduce the burden of security questionnaires, including:
improved search experience
- ML-facilitated generation of net-new responses, and
- streamlined workflows across platforms and databases
- They also share some of the key considerations your organization can begin working on today to set yourself up to optimize the use of AI when it comes to answering security questionnaires.
SafeBase is the leading Trust Center Platform designed for friction-free security reviews. With an enterprise-grade Trust Center, SafeBase automates the security review process and transforms how companies communicate their security and trust posture.
If you want to see how fast-growing companies like LinkedIn, Asana, and Jamf take back the time their teams spend on security questionnaires, create better buying experiences, and position security as the revenue-driver it is, schedule a demo.
