Security
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Data-centric security for shadow AI: protect sensitive data wherever it goes
You can’t block employee access to every AI tool. You can make sure your sensitive data stays protected when it…
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Shadow data: why zombie files are waking up in the age of AI
Forgotten files were relatively harmless while nobody could find them. AI finds them fast. Here's how to find your shadow…
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How continuous data access governance reduces AI risk (part 3 of 3)
Learn how continuous governance reduces AI risk, automates remediation, and keeps access controls aligned as data grows.
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Shadow AI: the risk isn’t the tool, it’s the data
Blocking unsanctioned AI tools won't stop data exposure. Governing the sensitive data people share with them will.
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Determining data access risks using the data access governance (DAG) maturity model (part 2 of 3)
Learn how organizations progress from visibility to enforcement and certified governance in the DAG maturity model.
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Determining data access risks using the DAG Maturity Model (part 1 of 3)
Learn how the first two stages of the DAG Maturity Model help organizations identify data access risks, improve visibility, and…
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AI is finding vulnerabilities faster. Can your patch management keep up?
As vulnerabilities increase so should your Patch Management practice.
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Agentic AppSec: Securing code that agents help write
As agents take action, AppSec controls must follow.
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The AppSec bottleneck isn’t detection. It’s remediation
Why triage and remediation now set the pace
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The AppSec ROI reckoning: Moving from AI hype to measurable value
As AI spending faces greater scrutiny, AppSec leaders must prove measurable results and governance.
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