How Businesses Can Safely Harness AI Power
Businesses can confidently deploy AI with proper compliance, resilience, and data protection measures in place.
By Lawrence Wong, Chief Executive Officer, Arctera | September 29, 2025 | 5 Min Read
The AI Adoption Challenge
Despite predictions of 2025 being the "golden age of AI," many businesses remain hesitant to fully embrace the technology. Concerns over data security, resilience, and compliance have slowed widespread adoption. Organizations fear that relying on AI could expose sensitive data or create vulnerabilities in their operations.
Key Barriers to AI Implementation
1. The Data Privacy Dilemma
One major concern is what happens to proprietary business information and personally identifiable information (PII) shared with AI systems. Many companies have implemented strict policies restricting AI use, which often leads to underutilization or complete avoidance of the technology.
Related: How AI Will Transform the CIO Role by 2030
Arctera proposes an "AI filter" solution that automatically blocks sensitive data from being uploaded to AI tools, removing human error from compliance efforts.
2. The Resilience Problem
As businesses become more dependent on AI agents, they face new risks from system failures, ransomware attacks, or power outages. Unlike human employees, AI systems cannot improvise workarounds when interrupted.
Related: AI Maturity: How to Turn Early Adoption into ROI
Arctera offers resilience solutions that mirror AI workloads across servers, ensuring continuity during disruptions.
3. Managing AI-Generated Content
Organizations must also consider how to handle, protect, and retain data created by AI systems. Proper classification and protection of this output is crucial for compliance and security.
Related: AI Inferencing Will Outpace AI Training -- Oracle CTO
Leveraging its heritage from Veritas Technologies, Arctera provides data protection solutions tailored for AI-generated content.
The Path Forward
With proper safeguards in place - compliance sentries, resilient architectures, and content protection - businesses can finally unleash AI's full potential. The article argues that 2025 could still become the predicted "golden age of AI" if organizations implement these protective measures.
About the Author
Lawrence Wong is the Chief Executive Officer at Arctera. He led the company's separation from Veritas Technologies and now drives innovation in data management solutions.
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About the Author
Alex Thompson
AI Technology Editor
Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.