Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Enveil Recognized in 2023 Gartner Market Guide for AI Trust, Risk and Security Management

Enveil, the pioneering Privacy Enhancing Technology company protecting Data in Use, announced it was named a Representative Vendor in the 2023 Gartner Market Guide for AI Trust, Risk and Security Management.

Read More about AiThority InterviewAiThority Interview with Ajay Sathyanath, Chief Technology Officer at Madison Logic

“The ability to leverage machine learning capabilities while protecting business interests, Intellectual Property, and sensitive/regulated data is key to the impact, scalability, and longevity of ML applications,” said Ellison Anne Williams, CEO of Enveil.

This Market Guide is designed to help data and analytics leaders improve model reliability, trustworthiness, fairness, privacy and security. According to the report’s strategic planning assumptions, Gartner expects: “By 2026, organizations that operationalize AI transparency, trust and security will see their AI models achieve a 50% improvement in terms of adoption, business goals and user acceptance.”

“The ability to leverage machine learning capabilities while protecting business interests, Intellectual Property, and sensitive/regulated data is key to the impact, scalability, and longevity of ML applications,” said Ellison Anne Williams, Founder and CEO of Enveil. “We are proud to be included in this Gartner Market Guide for AI TRiSM and we see the recognition as affirmation not only of the relevance of our Privacy Enhancing Technology-powered capabilities, but also an acknowledgement of the continued maturation of the privacy-preserving machine learning landscape.”

Related Posts
1 of 41,052

Enveil’s ZeroReveal® Machine Learning capabilities extend the boundary of trusted compute by enabling encrypted federated learning and the secure usage of disparate, decentralized datasets for machine learning applications. Specializing in Encrypted Training and Encrypted Evaluation, ZeroReveal® ML directly addresses the privacy component of AI TRiSM by overcoming potential compliance issues and expanding an organization’s ability to privately and securely leverage additional data sources through the use of Privacy Enhancing Technologies (PETs), including secure multiparty computation and homomorphic encryption. ZeroReveal can also help mitigate security concerns associated with adversarial ML attacks.

 Latest AiThority Interview Insights : AiThority Interview with at Brian Sathianathan, Co-Founder and CTO at Iterate.ai

Last year, Enveil was recognized in three Gartner® Hype Cycle™ reports (Privacy, Data Security, Digital Banking Transformation) for Homomorphic Encryption.* The company was also previously recognized as a Representative Provider in the Gartner® Innovation Insight for Federated Machine Learning report. **

At its core, Enveil ZeroReveal® is a two-party software system protecting Data in Use by ensuring the contents of the search, analytic, or machine learning model — and its corresponding results — are never exposed. Enveil is deployed and operational at scale today for cross-boundary use cases, proving that PETs are ready to make a substantial market impact for business and mission users.

AiThority Interview Insights: AiThority Interview with Brad Anderson, President of Product and Engineering at Qualtrics

 [To share your insights with us, please write to sghosh@martechseries.com] 

Comments are closed.