Protect Your Data: Security measures to consider before investing in conversational AI

The demand for intelligent virtual assistants to automate key business processes is higher than ever. From handling queries in customer service to providing IT support for employees, enterprises are quickly recognizing the value that conversational AI can deliver to their top and bottom line.

But before jumping on the conversational AI bandwagon, organizations need to address the proverbial elephant in the room: data security. How do you ensure that appropriate measures are being taken to safeguard and protect sensitive information? What compliance standards and regulations should your vendors meet? 

Watch this webinar as Mitch Evans, Risk Consulting Director at Barr Advisory and Madhav Vodnala, VP of Engineering at Avaamo, discuss:

• Why security and compliance matter when evaluating conversational AI vendors
• Industry standards and certifications every cloud-based provider should have
• How to ensure your technology provider meets and exceeds security expectations

Mitch Evans
Director, Risk Consulting
BARR Advisory

As BARR Advisory’s Director of Risk Consulting, Mitch Evans guides the planning and execution of information technology audits, client risk assessments and Governance, Risk and Compliance (GRC) services for our rapidly expanding client portfolio. He specializes in performing assessments over the design and implementation of control requirements based on current industry standards, government regulations and customer requirements. Through his experience and knowledge of best practices, he assists organizations of all sizes in the security of private consumer data and overall business performance efficiency.

Madhav Vodnala
VP of Engineering
Avaamo

As VP of Engineering at Avaamo, Madhav runs the global product, development and support departments. Madhav has more than 15 years of experience in building and managing large scale enterprise products. He is an expert in the field of conversational Artificial Intelligence technology that powers chat and voice assistants. Over the years, Madhav has been granted patents in social computing, chat systems, inference engine, conversational AI and deep learning architectures.