... security across the data life cycle rather than treating it as an add-on layer •How zero trust principles support a data-centric security approach •High-value use cases for AI-driven adaptive controls •Practical steps to build a more resilient security posture Reactive approaches to data security are proving ...
Analyst(s): Paulo Aresta | Rahul Balakrishnan
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... AI-driven and autonomous workflows are transforming how work gets done but also introducing a raft of new data security challenges. The vendors in this report are driving the evolution of data security by addressing areas where traditional, static security controls are no longer sufficient. Insights ...
Analyst(s): Paulo Aresta | Joerg Fritsch | Niyati Daftary | Andrew Bales | Sarah Almond
... Access Insights Already a Gartner client? Data and analytics leaders require more than simply reacting to change; it demands anticipation and strategic foresight to maintain competitiveness. This quarterly research offers emerging data and analytics trends, enabling proactive and early insights for opportunities ...
... Access Insights Already a Gartner client? Data integration may begin with enterprise architecture, updating integration tech, solving current challenges or meeting new business needs. Using proper tools and templates lowers risk, captures key metadata and maintains institutional knowledge, regardless ...
... state architecture: outcomes, capabilities, delivery, skills, governance, and investments. Heads of EA must align with the CIO to ensure the assessment is able to support the future-state architecture decisions. Insights at a Glance Impact Brief Actions How to Design Future-State Architecture — Assess ...
... Adjust the future-state architecture to respond to dynamic shifts in enterprise direction as the business experiences external change. Heads of EA must build DSAs that are equipped to anticipate and respond to shifts in enterprise direction rather than static architectures built on fixed, long-term horizons ...
Analyst(s): Aishita Shukla | Benjamin Arnberg | Marc Kerremans
... guidance on evolving their existing data management practices to support AI readiness. We summarize some of the leading practices and steps that data management practitioners can take to integrate and extend their existing architecture and data foundation to deliver data management for AI. Insights at a ...
... Enabling Modern DataArchitectures Enabling Less-Technical Data Integration Operational Data Integration Inclusion and Exclusion Criteria Gartner Recommended Reading Critical Capabilities Methodology Gartner Research ...
... Access Insights Already a Gartner client? Emerging paradigms like malleable software and user-driven AI models in agentic AI will soon disrupt rigid, one-size-fits-all software, making users co-creators rather than consumers. Product leaders will need to pivot their software toward malleability and cr ...