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4 Best Practices for Managing Generative AI Risk

How can you manage AI risk? Learn best practices for managing generative AI risk, including transparency, data privacy and security measures.
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Risk Control Matrix (RCM): Quick Guide to Building Business Resilience

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Learn how a risk control matrix strengthens internal controls, mitigates material weaknesses, and supports effective risk management.
A gauge with a needle pointing to the green section labeled Risk Low, indicating a low level of risk in line with a strong vendor risk management policy. Yellow and red sections represent higher risk levels.

Creating Your Vendor Management Policy

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Learn how to create a vendor management policy that supports compliance, ongoing monitoring and better decisions across your vendor risk management program.
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The Leaders of 2025 Info-Tech Data Quadrant: Who’s Shaping the Future of GRC Software

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Onspring leads the 2025 Info-Tech Data Quadrant for GRC platforms with top scores in usability, customization and customer satisfaction.
A shadow of a person wearing a cap is cast on gravel-covered ground in sunlight, subtly echoing the presence of Shadow AI risks lurking unnoticed.

Shadow AI Risks: Why Your Employees Are Putting Your Company at Risk

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Shadow AI introduces compliance risks and data exposure. Learn how AI governance and secure controls can help protect sensitive information.
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Why User-Validated Rankings Matter In GRC Software Selection

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See how verified user feedback and customer reviews in the Info-Tech Data Quadrant guide smarter GRC software selection.
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AI Deepfakes and Phishing: How To Upgrade Your Employee Training for AI and GRC

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AI and GRC teams must grow to fight deepfakes and phishing. See how training and strong controls protect employees from today’s cyber risks.
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The Dream Team: How Humans and AI Work Best Together in GRC

Explore human-AI collaboration in GRC. Learn where technology excels, where people are essential, and how to build lasting trust in AI.
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What to Look for in a GRC Platform: Lessons from the Info-Tech Data Quadrant

Explore the Info-Tech Data Quadrant for GRC platforms and discover how real users rate their performance in crucial areas.
A hand holding a magnifying glass points at a laptop screen displaying a risk meter, with the needle indicating a moderate level—highlighting the need to automate third-party risk management for greater efficiency and insight.

5 Reasons Your Company Should Automate Third-Party Risk Management

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Automate third-party risk management to cut manual work, reduce cyber risk, and stay compliant with evolving regulations.
A glowing red padlock with a white medical cross symbol appears on a digital circuit board background, representing cybersecurity and data protection as ai algorithms in healthcare advance.

Building an Ethical AI Framework for Healthcare: A Governance Checklist for Leaders

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Discover how AI in healthcare enhances cybersecurity, manages compliance risks, and protects patient data.
A blue sign with the word TRAIL and a white arrow pointing right stands beside a wooded path, reminiscent of following an audit trail through leaves and twigs.

What is an Audit Trail?

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Learn how audit trails boost data security, ensure compliance, and prevent fraud with automated logs and real-time monitoring.
The image shows a large, illuminated domed government building at night, reminiscent of those tied to compliance standards like FedRAMP. Columns and stairs lead up to the entrance, while trees frame the scene beneath a dark sky.

What Is FedRAMP Authorization?

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Discover what FedRAMP authorization is, why it matters for CSPs, and how the 2025 agency-only path impacts compliance.
Two people in face masks and glasses work together in a kitchen, focusing on food preparation. Shelves with dishes and utensils are visible, along with a menu posted on the wall—showcasing attention to cleanliness, like strong healthcare GRC practices.

Your Roadmap to Future-Ready Healthcare GRC: Balancing Innovation and Security

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Discover how AI transforms healthcare GRC. Learn strategies to streamline compliance, strengthen risk management, and protect patient data.
A doctor in a white coat holding a clipboard discusses AI transparency in healthcare with a woman sitting up in a hospital bed, dressed in a pink gown, with white curtains in the background.

The “Black Box” Challenge: Demystifying AI Algorithms for Trusted Patient Care

Learn what compliance risk management in healthcare means and how AI transparency builds patient trust, reduces risks, and ensures regulatory compliance.