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Enterprises with established Identity Access Management and Privileged Access Management must extend governance to non-human identities to protect APIs, services, automation and agentic AI. Effective evaluation of NHI security software hinges on risk-driven prioritization, integration fidelity and measurable outcomes. CIOs, CISOs and IT leaders should align the identity strategy with enterprise...

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Topics: Cybersecurity, NIST, IT & Technologies, Agentic AI, PAM, IAM, Zero Trust, Identity, Non-Human Identity, NHI, Machine Identity


Enterprises are accelerating digital initiatives powered by APIs, services, IoT and agentic artificial intelligence (AI), expanding non-human identity (NHI) risk faster than legacy Identity Access Management (IAM) and Privileged Access Management (PAM) can govern. CIOs, CISOs and IT leaders need an identity strategy that treats NHIs as first-class identities, integrates with IAM/PAM and advances...

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Topics: Cybersecurity, NIST, IT & Technologies, Agentic AI, PAM, IAM, Zero Trust, Identity, Non-Human Identity, NHI, Machine Identity


I am struck by the blizzard of software announcements this year describing new features for CX tools that are “agentic,” meaning autonomous tools take actions without (much) human intervention. Industry conversation about agentic AI has proceeded ahead of clarifying definitions and a sense of how it fits on a continuum of rapid AI development.

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Topics: Analytics, Contact Center, Personalization, Customer Experience Management, Generative AI, Customers and CX - Business & Technologies, Agentic AI, Transformation, Disruption


I have written several times recently about the importance of data in supporting artificial intelligence (AI), including generative AI (GenAI) and agentic AI. From a data platforms perspective, this is most evident in the role that analytic data platforms play in supporting the training and fine-tuning of AI models. Operational data platforms also have a role to play in supporting enterprise AI...

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Topics: AI, Data Platforms, AI & Technologies, Agentic AI


The need for effective cybersecurity strategies remains a priority as enterprises face ever-increasing complex cyber threats. Nonetheless, the conventional approach in which IT departments, especially Chief Information Officers (CIOs) and Chief Information Security Officers (CISOs), exclusively manage the procurement of cybersecurity software, is showing its limitations. A crucial shift is...

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Topics: Collaboration, Cybersecurity, Security Posture, Generative AI, IT & Technologies, Agentic AI, Data Backup and Recover, EDR


The annual RSAC Conference took place in late April in San Francisco, where over 40,000 professionals from the cybersecurity industry converged at the Moscone Center to discuss the latest trends, products and services aimed at threat identification and organizational security.

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Topics: Cybersecurity, GenAI, IT & Technologies, Agentic AI, EDR, XDR, PAM, SIEM, IAM, Quantum, Threat Intelligence, SOAR, Data Recovery, Data Resilience, ZTNA


I have previously explained how increased enterprise focus on artificial intelligence (AI) and agentic AI is a forcing function for enterprises to take long-overdue steps to improve data management and data governance. Data is integral to AI: large volumes of data are required to train models, while data freshness is important for inferencing in interactive applications and data quality is...

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Topics: Governance, Data Management, Generative AI, AI & Technologies, Agentic AI


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