News Tag: Press Release
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Bringing AI Governance and Data Protection Into the Developer Workflow
DEVOPSdigest highlights Protegrity AI Developer Edition for bringing sensitive data discovery, policy validation, and protection into the AI development workflow before applications reach production.
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Protegrity Discusses Securing Retail AI and Agentic Workflows on PodMagic
Protegrity’s Clyde Williamson and Jessica Hammond join StorMagic’s PodMagic to discuss how retailers can protect sensitive data, govern AI agents, and build secure foundations for increasingly autonomous AI workflows.
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Quantum Computing Meets AI: Where the Opportunity Is—and Isn’t
See where quantum computing could support AI, the limitations that remain, and why CIOs should take a measured, evidence-based approach to quantum AI.
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Insider Risk After Access Is Granted: Reducing Sensitive Data Exposure
Insider risk does not end at authentication. Protegrity examines how employees, applications, and AI agents can expose sensitive data after access is granted—and why reducing data visibility matters.
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Enterprise AI Governance: CData Cites Protegrity Research
As enterprises connect AI agents to more operational systems and sensitive data, determining what those systems can access — and under whose permissions — is becoming an important part of moving AI into production. A recent CData article, What to Look for in a Context Layer, explores the infrastructure needed to give AI applications accurate,…
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Protegrity Shares Perspective on Preparing for Post-Quantum Security Risks
Protegrity shares how enterprises can prepare for post-quantum security risks by building quantum literacy, assessing exposure, and prioritizing sensitive data before Q-Day.
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Protegrity Research Reveals the Hidden “AI Friction Tax” Holding Back Enterprise AI
Independent EMA research finds more than four in five organizations have delayed AI deployments—or launched them with reduced capabilities—because of security and governance challenges MENLO PARK, Calif. – July 30, 2026 – Protegrity, a global leader in data and knowledge security, today released The State of AI Friction: Why Enterprise AI Deployment Is Slower, Costlier,…
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Protegrity on Why AI Trust Depends on Data Governance
As AI becomes embedded in enterprise workflows, trust increasingly depends on how well organizations understand, govern, and protect the data moving through those systems. Protegrity’s Jessica Hammond explains why secure-by-design AI requires visibility and control across prompts, logs, retrieval pipelines, tools, and outputs.
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AI Agent Security Requires Data Protection | Protegrity
As AI agents gain access to business applications, shared drives, code repositories, databases, and internal knowledge, organizations face a new question: who is responsible for making sure those agents only reach the data and systems they are meant to use? A recent HostingAdvice article examines how this challenge could expand the role of managed hosting…
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Responsible AI Adoption Starts With Protected Data
A recent Disaster Recovery Journal article marking AI Appreciation Day 2026 explores how AI adoption is evolving across the enterprise. The piece brings together perspectives from technology, security, commerce, manufacturing, and data protection leaders on how organizations can move from AI enthusiasm to more disciplined, governed, and trusted use. The article includes perspective from Jessica…