Press Release
October 10, 2023
Anonos Recognized in Gartner® 2023 Hype Cycle™ Report for Generative AI

Anonos Recognized in Gartner® 2023 Hype Cycle™ Report for Generative AI

NEW YORK CITY and BERLIN – October 11, 2023 – Anonos, a global innovator in data privacy, security, and enablement, has been named in the 2023 Gartner® Hype Cycle™ for Generative AI for its synthetic data capabilities. This inclusion aligns with Gartner's emphasis on generative AI as an emerging focus for the C-suite.

Gartner's strategic planning assumption projects that “By 2026, more than 80% of enterprises will have used generative AI APIs or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.”

The Role of Synthetic Data
Gartner notes, “GenAI models and APIs are increasingly embedded into many enterprise applications (generative AI-enabled applications) and organizations in many domains are using them successfully.” Yet, “the massive growth in GenAI use cases and applications is forcing organizations to rethink AI trust, risk and security management (AI TRiSM) for GenAI.”
Synthetic data has an inherent advantage: it can be generated without personally identifiable information (PII) or protected health information (PHI). For instance, it allows for the training of machine learning (ML) models without resorting to PII, either through synthetic variants of the original data or by replacing certain parts of it, making it a “valuable technology for privacy preservation.”

Gartner also emphasizes synthetic data's potential to remedy a major challenge in AI development: the cumbersome process of acquiring and labeling real-world data. This often costly and time-intensive task can be bypassed with synthetic data.

In summary, Gartner anticipates a considerable uptick in synthetic data adoption due to its advantages, which include expediting ML development by reducing costs and duration, amplifying ML performance due to access to more training data, unlocking opportunities in areas with limited real data, and tackling fairness issues in ML models.

Anonos’ Solutions to Improve Data Privacy in Generative AI

Being recognized as a Sample Vendor in the Hype Cycle for Generative AI for its synthetic data capabilities, Anonos remains at the forefront of addressing enterprise data privacy concerns in generative AI. The company recently introduced the Prompt Protector, a tool that detects and shields data within prompts, ensuring the non-disclosure of sensitive data to or from the generative AI while allowing for full utility of the output through controlled re-linking.

Anonos has been recognized in over twenty Gartner publications. Gartner designated Anonos as a Cool Vendor in both Privacy Management (2018) and Privacy Preservation in Analytics (2019). Additionally, Anonos was acknowledged in the 2023 Market Guide for AI Trust, Risk, and Security Management and featured in eighteen Gartner Hype Cycle™ reports from 2018 to 2023. Statice GmbH, acquired by Anonos in Q4 2022, was highlighted in Gartner's 2022 “Emerging Tech: Top Use Cases for Tabular Synthetic Data” and was featured in sixteen Gartner resources.


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Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be constructed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.


Resources:

Hype Cycle for Generative AI, Arun Chandrasekaran, Leinar Ramos, 2023

About Anonos

Anonos® is a data privacy and security innovator, providing enterprise software that mitigates risk and maximizes data utility and value. Its globally patented, award-winning Data Embassy® platform uses a unique combination of state-of-the-art data privacy tools to transform sensitive assets into Variant Twins®: non-identifiable, up to 100% accurate variations of source data engineered for specific use cases to support the desired business outcomes. Because precise technical controls are embedded within them and continuously enforced, Variant Twins can travel anywhere – across departments, outside the enterprise, and around the globe. With Data Embassy, organizations have full-spectrum, universal data protection to increase cloud utilization, improve cybersecurity, and power lawful analytics, artificial intelligence, machine learning, and data sharing initiatives for faster speed to insights. Anonos. Data without the drama. Learn more by visiting anonos.com or follow us on LinkedIn.