Oracle Exadata

AI is changing the rules of cybersecurity. Can yesterday's security strategies keep up with machine-speed threats? In this report, RonWestfallDX explains why securing data at the source, accelerating response, and building resilience are becoming essential for enterprise AI. Read the analysis: social.ora.cl/6010BDvmd2

For years, enterprise security has focused on protecting applications. But what happens when AI agents go straight to the data? In this post, IDC’s Devin Pratt explains why the database is becoming the new control point for AI security—and what that means for the future of enterprise AI. Read his perspective: social.ora.cl/6019BDvW2d

Most AI security strategies start with the application layer. But what if that's the wrong place to begin? In this report, @MattKimball_MIS of Moor Insights & Strategy explains why protecting enterprise data is the real foundation for enterprise agentic AI—and what organizations should do differently. Read the report: social.ora.cl/6017BDvZAc

Does your Agentic AI have the availability your business needs? Watch theCUBE video with Wei Hu, SVP Oracle High Availability Technologies to learn how Oracle AI Database helps you scale AI workloads and deliver high availability. social.ora.cl/6011BDuomR

What if the biggest challenge in AI security isn't protecting the perimeter—but rethinking where governance belongs? In this report, @krista_lee of theCUBE Research explores why enterprise security must shift from securing applications to governing data, identity, and authority at the database level. Read the analysis: social.ora.cl/6019BDvZ3b

What happens when AI agents bypass your application-level security and connect directly to your data? @brad_shimmin believes it's time to rethink enterprise security—and that database-level enforcement may be the only place where governance truly holds in the age of agentic AI. Read his perspective: social.ora.cl/6017BDvXwf

Want distributed AI on real-time data across diverse data and systems? Check out theCUBE video with Jagdev Dhillon, SVP Oracle GoldenGate Development to understand why using trusted, real-time data is imperative. social.ora.cl/6017BDOvjB

Can AI be secured if the data behind it isn't? In this Forbes analysis, @sr_mcdowell explores why Oracle is taking a database-first approach to AI security—and why protecting data at its source may be the key to building enterprise AI at scale. Read the article: social.ora.cl/6016BDvn2E

Spend less time managing databases and more time driving innovation. Join us and Amazon Web Services (AWS) to learn how the latest Oracle AI Database@AWS announcements can help your team simplify operations, reduce overhead, and confidently plan your next migration or modernization project. social.ora.cl/6019BDd9eN

AI changes security. Oracle helps customers secure data at the source, patch at speed, and build resilience—with free and discounted tools to reduce risk and accelerate AI adoption. Learn more at social.ora.cl/6011BDOf1V

Manual security reviews were built for human-speed systems. AI agents now query, summarize, move, and act on data in seconds. That shifts the security boundary to the data layer: •What can the agent access? •What can it do? •What sensitive data is exposed before it acts? In the agentic AI era, security has to travel with the data. Learn more about Oracle’s approach and limited time free/discounted access to core technology at social.ora.cl/6018BDMahy

Want to use Agentic AI with your business data? Check out theCUBE video with Tirthankar Lahiri, SVP Oracle Mission-Critical Data and AI Engines where he discusses how built-in Oracle AI Database capabilities can provide fast access to trusted data. social.ora.cl/6010BD12jm

Do app-level access controls provide adequate guardrails for Agentic AI? Watch theCUBE video with Juan Loaiza, EVP @Oracle Database Technologies to learn how granular access controls at the data layer Oracle AI Database can help enable strong security. social.ora.cl/6012B87VZg

Want faster failover to standby databases? You got it— Oracle Data Guard role transitions are up to 4X faster with Oracle AI Database 26ai, lowering Recovery Time Objectives (RTO) to reduce potential downtime. Check out the blog social.ora.cl/6012B820Lu

Big stage. Bigger ideas. All the latest in AI. Registration for #AIWorld is now open! social.ora.cl/6019B8F5Pv

Agentic AI needs trusted data, context, and governance. Read @databaseguru analysis of Oracle AI Database innovations, including Unified Memory Core: social.ora.cl/6010B8XNMy

Keep AI agents and data on the same page. Read @TonyBaer at dbInsight’s Quick Take on Oracle AI Database 26ai and data-centric agentic workflows: social.ora.cl/6018B8X2ug

Availability, AI-ready security, and quantum resilience are converging. Read @RonWestfallDX at @HyperFRAME_Res’s analysis of Oracle AI Database 26ai. social.ora.cl/6015B8EPv1

In agentic AI, access control at the data layer becomes the security perimeter. Read @balaganski at @kuppingercole's analysis of why governance must move from the app to the data. social.ora.cl/6012B8EP3e

Agentic AI raises the bar for always-on data. Read TheFuturumGroup’s view on Oracle AI Database 26ai availability, security, and resilience. social.ora.cl/6014B86cto