Insight

  • Entrust announced the sale of its certificate authority business to Sectigo in January 2025, an event that will cause many enterprises to reevaluate their certificate lifecycle management strategy. Recent research by Informa TechTarget’s Enterprise Strategy Group into non-human identities (NHIs) revealed that digital certificates were of concern to enterprises,1 and the Entrust-Sectigo transaction reinforces the need for enterprises to maintain crypto agility to adapt to and recover from changes in cryptographic infrastructure. Enterprises should focus on gaining visibility into their expanding digital certificate estate in preparation for upcoming changes posed by shortening certificate validity periods and impending changes needed to prepare for post-quantum cryptography (PQC).

    To learn more, download the free brief, Entrust Selling Certificate Business Underscores Need for Enterprise Crypto Agility.

  • False Confidence Around API Security Persists

    APIs are crucial parts of modern application architectures, facilitating critical functionality, communication, and data movement. Unfortunately, each API could be an entry point for a cyberattack if a bad actor finds a vulnerability. Recent research by Informa TechTarget’s Enterprise Strategy Group investigated the state of API security programs and whether the teams behind their operation have a handle on the risk associated with this attack vector.

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  • The Transition Toward API-specific Security Tools

    APIs act as critical connections between applications and data within myriad IT processes today, and as such, they make for strong targets for cyberattackers looking to gain access to organizations’ systems. Due to several unique facets of APIs, securing them against cyberthreats requires specialized technologies. Recent research by Informa TechTarget’s Enterprise Strategy Group found that many organizations may not be using purpose-built API security tools to the extent they should, which is to their detriment.

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  • Digital transformation (DX) initiatives are continuing, but they are beginning to take on a new shape with the arrival of widespread AI deployments. Recent research by Informa TechTarget’s Enterprise Strategy Group uncovered some of the key practices of organizations with mature DX initiatives, which those in the earlier stages of digital transformation can learn from to understand where IT pioneers are headed.

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  • Cloud Business Resilience With Commvault Cloud Rewind

    In 2025, strengthening cyber resilience and improving cyber recovery dominate nearly every IT priority list, typically surpassing even artificial intelligence in importance. In an era defined by distributed application and data environments along with increasingly sophisticated cyberthreats, traditional protection and recovery techniques have become too bulky to keep pace.

    To learn more, download the free brief, Cloud Business Resilience With Commvault Cloud Rewind.

  • The evolving cybersecurity landscape; requirements to incorporate emerging technologies, such as AI, high data volumes, and digital transformation initiatives; and a variety of other factors weigh down IT operations with complexity at many organizations today. Recent research by Informa TechTarget’s Enterprise Strategy Group investigated how organizations battling the worst of IT complexity are planning their spending in 2025 to combat the problem.

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  • As organizations across industries work to modernize their environments with the help of AI, internal shortages of necessary skills are becoming apparent for many. These circumstances are arising alongside long-time skill shortages in cybersecurity that have yet to be resolved. Recent research by Informa TechTarget’s Enterprise Strategy Group investigated the links between the most critical skill gaps organizations face today and firmographic features, such as operating region and cloud policies.

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  • Architecting the Network for an AI-powered World

    This Complete Survey Results presentation focuses on the impact of AI and generative AI (GenAI) on networks and network projects, challenges with GenAI cluster networks, monitoring and management of GenAI cluster networks, stakeholders involved, and future spending plans for these initiatives.

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  • Architecting the Network for an AI-powered World

    Enterprise IT stands on the threshold of one of the greatest evolutionary changes in decades with the arrival and expansion of AI and its fast-growing variant, generative AI. These technologies hold the potential to revolutionize applications and services, taking the businesses they support to new levels of efficiency and profitability.

    But to reach the AI promised land, many organizations must invest in significant new compute infrastructure and ensure their networks are ready to play their essential role in supporting AI initiatives. AI-driven network upgrades must deliver increased speed, high throughput, and low latency, both within GenAI computing clusters and across the entire enterprise so that AI inferencing can be distributed as far out to the edges as necessary.

    To gain further insight into these trends, Enterprise Strategy Group surveyed 370 network professionals at organizations in North America (US and Canada), Western Europe, and the Asia Pacific involved with building and managing network technology and processes.

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  • Rethinking Database Requirements in the Age of AI

    The growing use of GenAI is changing how businesses manage operations and make decisions. Databases are becoming the core infrastructure of AI-based projects, providing the foundation for use cases that require efficiency and accuracy. It’s now a necessity to use cutting-edge tools such as vector and RAG for processing AI data, and organizations are seeking databases designed to get the most out of their data. However, organizations innately proceed into this realm with different internal capabilities and maturity levels for their database strategies, which prompts variation in priorities and processes.

    To gain further insight into these trends, TechTarget’s Enterprise Strategy Group surveyed 358 IT professionals at organizations in North America (US and Canada) involved with or responsible for the database technologies, processes, and programs used to manage their organization’s data.

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  • Enterprises Tap GenAI Partners as Challenges Mount

    Enterprises (1,000+ employees) are turning to generative AI (GenAI) for wide-ranging strategic benefits, but they’re far more likely to encounter certain challenges than large midmarket (500 to 999 employees) in these endeavors, according to research by Informa TechTarget’s Enterprise Strategy Group. A recent study found that although both large and smaller organizations engage with partners regularly to overcome GenAI project challenges, enterprise-size firms tend to need vendors’ support in specific crucial areas in their pursuit of large-scale transformation.

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  • All major industry verticals are moving forward with generative AI (GenAI) deployments to capture competitive differentiation from cutting-edge technology. Since skill sets and resources for development vary widely from industry to industry, and even organization to organization, many firms are active in partnering with outside vendors and service providers for technology deployment, strategy guidance, and other expertise pertaining to GenAI. Recent research by Informa TechTarget’s Enterprise Strategy Group revealed some interesting findings when it comes to how different industries tackle GenAI initiatives and subsequent third-party engagements in support of those projects.

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