Armor launches AI Readiness Accelerator for enterprises

Armor has announced the introduction of its AI Readiness Accelerator, a service designed to expedite enterprise AI adoption by addressing data governance challenges.

The new service by Armor aims to assist businesses in rapidly achieving AI readiness and adopting technologies like Microsoft Copilot. The focus of this offering is to address the key challenges associated with data governance, data loss prevention, and risk management, which are crucial for secure enterprise AI adoption.

Data governance plays a pivotal role in enhancing the adoption of advanced AI tools by evaluating a business's readiness, designing a robust data security strategy, and ensuring compliance with continuously evolving governance and security standards. By creating a stable, production-ready data foundation, enterprises can leverage tools like Microsoft Copilot and prepare for the adoption of future generative AI technologies.

Through its partnership with Microsoft, Armor aims to utilise Microsoft Purview to provide enterprises with an enhanced control over their data estates. This offering is designed to improve data loss prevention and insider risk detection while ensuring adherence to regulatory compliance best practices. This gives companies the confidence to securely adopt AI and Microsoft Copilot, maximising their investment in Microsoft technologies.

Chris Drake, Founder and Chief Executive Officer of Armor, stated, "Our new service is a strategic response to the data governance challenges in AI adoption. It enables businesses to harness AI tools like Microsoft Copilot without compromising on data security."

Nancy Free, Armor's Head of Risk, explained the significance of integrating data governance into business strategy: "As the use of AI models grows globally, concerns about the trustworthiness, security, and quality of this data heightens the risks to enterprises. Integrating data governance into business strategy is essential in managing AI-related risks effectively. There is no room for a trust deficit, as a single security incident can significantly impact consumer trust and opinions."

The AI Readiness Accelerator is designed to deliver key outcomes, including understanding data through a unified platform capable of scanning, classifying, and labelling data automatically, using data connectors for a cohesive data landscape. This understanding of sensitive data is essential for better governance and AI readiness.

To secure data, the service provides ways to safeguard against vulnerabilities, overexposure, and leakage, effectively reducing overall risk. The implementation of Data Loss Prevention (DLP) policies helps protect sensitive and business-critical data from exfiltration across applications, services, and devices.

In terms of managing data risk, the service adopts a comprehensive protection approach to mitigate data leakage and loss risks. Armor's service utilises machine learning to identify potential risks and detect compliance violations, offering businesses the confidence needed to deploy AI solutions like Microsoft Copilot securely and responsibly.

This offering highlights Armor's dedication to ensuring a secure AI journey, leveraging AI for enterprise growth through insights while maintaining data security. The company has established its role in the secure adoption of generative AI technologies through its Managed Detection and Response service alongside a suite of professional services.