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Artificial Intelligence

  • The Future of SecOps in an AI-driven World

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    Dave Gruber

    Security operations (SecOps) is a mainstay of modern security programs. Once focused on reactive, alert-driven activities, today’s security operations have expanded to a risk mitigation function, inclusive of both proactive and reactive strategies like threat detection, response, and recovery. With such a broad scope of responsibility, it’s no surprise that the number and complexity of systems and technologies involved continue to grow, heavily influenced by the more recent explosion of generative AI (GenAI) adoption. TechTarget’s Enterprise Strategy Group recently surveyed IT and cybersecurity professionals to gain insights into these trends.

    To learn more, download the free infographic, The Future of SecOps in an AI-driven World.

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  • The Future of SecOps in an AI-driven World

    ·

    Dave Gruber

    SecOps is a mainstay of modern security programs. Once focused on reactive, alert-driven activities, today’s SecOps has expanded to a risk mitigation function, inclusive of both proactive and reactive strategies like security posture management, core security controls optimization and tuning, detection and response, and recovery in the event of a harmful cyberattack. This expanded agenda has also increased collaboration with other functions, including risk management, IT, OT, software development and engineering, supply chain management, and more. With such a broad scope of responsibility, it’s no surprise that the number and complexity of systems and technologies involved continue to grow, heavily influenced by the more recent explosion of GenAI adoption.

    Despite all of this, for the first time in the past five years, this research indicates that the scales are tipping, as more organizations reported this year that SecOps is getting easier. This improvement is fueled by three industry mega-trends: tool consolidation, the application of GenAI within SecOps, and the effectiveness of XDR solutions.

    To gain further insights into these mega-trends and other developments in the security operations space, Enterprise Strategy Group surveyed 366 IT and cybersecurity professionals at large midmarket and enterprise organizations in North America (U.S. and Canada) involved with security operations technology and processes.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us. 

  • The Future of SecOps in an AI-driven World

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    Dave Gruber

    This Complete Survey Results presentation focuses on current security operations programs and posture, including security operations centers, and how automation and generative AI (GenAI) technologies are helping to augment and optimize these environments.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us. 

  • Transforming Observability and Monitoring Through AI

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    Torsten Volk

    AI increasingly enables organizations to understand their limitations and then optimally allocate their technology spending, maximizing efficiency and driving superior business outcomes. Organizations that harness AI-driven observability, visibility, and monitoring platforms can receive data-driven, actionable insights that transform the economics of application development and platform engineering. But technology leaders and platform teams are faced with a key challenge: Identifying and deploying AI tools that are ideal for their environment, expertise, and culture. TechTarget’s Enterprise Strategy Group recently surveyed application developers and IT professionals to gain insights into these trends.

    To learn more, download the free infographic, Transforming Observability and Monitoring Through AI.

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  • Transforming Observability and Monitoring Through AI

    ·

    Torsten Volk

    AI increasingly enables organizations to understand their limitations and then optimally allocate their technology spending, maximizing efficiency and driving superior business outcomes. Organizations that harness AI-driven observability, visibility, and monitoring platforms can receive data-driven, actionable insights that transform the economics of application development and platform engineering.

    But technology leaders and platform teams are faced with a key challenge: identifying and deploying AI-driven observability tools that fit their environment, expertise, and culture. Only then can they seamlessly enhance system reliability and performance through transparent and actionable insights. Organizations must prioritize explainability for stakeholders to understand the reasoning behind AI decisions to foster trust and refine AI’s decision-making processes and criteria.

    To gain further insight into these trends, Enterprise Strategy Group surveyed 377 application developers and IT professionals at organizations in North America (U.S. and Canada) involved with observability and monitoring technology and processes at their organization.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us. 

  • Transforming Observability and Monitoring Through AI

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    Torsten Volk

    This Complete Survey Results presentation focuses on observability environments and teams, full-stack observability capabilities, observability-related tasks, AI recommendation practices, GenAI copilots, AI observability benefits and challenges, observability effectiveness, and spending preferences.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us. 

  • Delivering AI-ready Data With Informatica and CLAIRE AI

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    Mike Leone

    Organizations are looking for simplified and scalable platforms that enable faster AI development, improved data quality, and enhanced accessibility to trusted data that feeds AI. Informatica’s latest Intelligent Data Management Cloud (IDMC) updates, including CLAIRE AI, are set to significantly improve data readiness and advance data management for organizations pursuing AI. CLAIRE Copilot and GPT integrations, in particular, hope to solve the data issues organizations continue to face around data integration, data quality, and data governance.

    To learn more, download the free brief, Delivering AI-ready Data With Informatica and CLAIRE AI.

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  • Data Readiness for Impactful Generative AI

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    Stephen Catanzano

    As organizations race to develop generative AI solutions, the importance of data readiness has become increasingly evident. The need to prepare and manage enterprise data effectively for generative AI has placed a sharp focus on data quality, governance, and bias. These factors are now shaping how and when organizations bring their generative AI solutions to life. TechTarget’s Enterprise Strategy Group recently surveyed IT and data professionals to gain insights into these trends.

    To learn more, download the free infographic, Data Readiness for Impactful Generative AI.

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  • Databricks and Anthropic Partner for Enterprise AI Agents

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    Mike Leone

    Databricks and Anthropic’s landmark partnership delivers Anthropic’s cutting-edge Claude models directly into the Databricks Data Intelligence Platform, empowering enterprises to build and deploy secure, high-performing AI agents on their own data. This directly addresses a critical market challenge around security, governance, and integration, accelerating the adoption of enterprise-class AI solutions across numerous industries.

    To learn more, download the free brief, Databricks and Anthropic Partner for Enterprise AI Agents.

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  • AI at the Endpoint: Tracking the Impact of AI on End Users and Endpoints

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    Gabe Knuth

    This Complete Survey Results presentation focuses on plans for PCs with local AI compute capabilities, as well as the use cases and associated benefits and challenges among early adopters of the technology from the perspective of both end users and the IT practitioners supporting these deployments.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us. 

  • AI at the Endpoint: The Impact of AI on End Users and Endpoint Devices

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    Gabe Knuth

    As AI adoption accelerates, organizations are evaluating how AI-driven workloads impact end-user support, digital workspaces, and endpoint strategies. While AI PCs introduce new possibilities for local AI computing capabilities, their integration into enterprise environments is at an early stage, with practical use cases still emerging. Understanding how businesses align these technologies with IT and business objectives is important for establishing a baseline of expectations, driving adoption, and maximizing their potential.

    At the same time, IT and security teams face growing challenges related to “shadow AI”—unsanctioned AI tools used by employees. These tools may enhance individual or team productivity but also introduce security and data governance risks. Organizations must assess the scope of this trend, the potential benefits, and the necessary controls to mitigate risks while supporting innovation.

    Additionally, AI PCs are entering the market amid widespread endpoint refresh cycles, driven by both Windows 11 upgrades and post-pandemic hardware replacement. Enterprises must weigh the urgency of AI adoption against other IT priorities, balancing the need to stay competitive with a cautious approach to emerging AI hardware investments.

    To gain further insights into these trends, Enterprise Strategy Group surveyed 750 business professionals in North America (U.S. and Canada), including 330 IT professionals responsible for their organization’s endpoint computing environment who have insight into how AI is impacting these environments, as well as 420 corporate knowledge workers (i.e., end users) who use or will use AI as part of their daily workflows.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us. 

  • Data Readiness for Impactful Generative AI

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    Stephen Catanzano

    This Complete Survey Results presentation focuses on AI adoption, data quality, data privacy and security, data governance and compliance, purchase decision-making, integration and interoperability, data readiness challenges, and attributes related to data readiness.

    Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.