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Armor Accelerates AI Adoption With Data Governance Offering

Arshi Khan by Arshi Khan
August 6, 2024
Armor

Armor, a managed detection & response (MDR) and compliant cloud solutions company, today unveils a transformative service to fast-track AI readiness and the adoption of technologies like Microsoft Copilot.

Armor’s AI Readiness Accelerator directly responds to the increasing demand for secure enterprise AI adoption, which relies on comprehensive data risk governance, data loss prevention, and risk management as its core elements.

Data governance supercharges the adoption of leading-edge AI tools by assessing a business’s readiness, crafting an effective data security strategy, and ensuring continuous compliance with evolving governance and security standards.

With this solution, Armor, a Microsoft Security Solutions Partner and member of the Microsoft Intelligent Security Association (MISA), leverages its partnership with Microsoft to accelerate the utilization of Microsoft Purview, ensuring that enterprises gain greater control over their data estates.

With enhanced data loss prevention, insider risk detection and management, and adherence to regulatory compliance best practices, this offering gives enterprises the confidence to securely adopt AI and Microsoft Copilot while maximizing their investments in Microsoft technologies.

Chris Drake, founder and CEO of Armor, said, “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.”

“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,” said Nancy Free, Armor’s Head of Risk.

The Armor platform allows you to use sensitive data for better governance and compliance, which is essential to democratizing data responsibly for AI readiness.

Deploying DLP policies helps safeguard sensitive and business-critical data from exfiltration across applications, services, and devices.

Also Read: Microsoft to handle legal risks if Copilot AI users get sued: Brad Smith

Arshi Khan

Arshi Khan

A research-focused journalist covering enterprise technology, AI, and cybersecurity. Reporting combines market data, expert interviews, and on-ground industry inputs to produce accurate, context-driven stories for business decision-makers. She can be reached at [email protected]

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