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AI Under Siege: Jailbreaks, Poisoning, and Other Security Threats

Kathy Lange — Tue, 14 Apr 2026 04:00:00 GMT

This IDC Tech Buyer Presentation examines the evolving AI threat landscape, highlighting how vulnerabilities across data, models, and autonomous systems introduce new security, governance, and trust risks for enterprises. It provides a framework for understanding these risks and outlines strategies for securing AI systems across their life cycle.

IDC MarketScape: Worldwide Communications Engagement Platforms 2026 Vendor Assessment

Courtney Munroe, Denise Lund — Tue, 14 Apr 2026 04:00:00 GMT

This IDC study provides a comprehensive assessment of select communications engagement platform (CEP) vendors, highlighting their strengths, challenges, and strategic direction to guide technology buyers in making informed decisions.

"We are witnessing a pivotal shift in the customer engagement market, as AI-powered orchestration and frictionless integration across platforms fundamentally reshape enterprise interactions with both customers and employees. Organizations should focus on solutions that deliver demonstrable innovation, adaptability, and a strategic approach to context-rich, omni-channel engagement," says Denise Lund, research vice president, Worldwide Telecom and UC, IDC.

IDC Survey: PLM for Process Manufacturers

John Snow — Tue, 14 Apr 2026 04:00:00 GMT

This IDC Survey presents the findings of IDC’s 2025 Product Innovation and Aftermarket Services Global Survey, from the perspective of 112 product life-cycle management (PLM) decision-makers in process manufacturing industries. The survey results highlight business drivers, application areas, and investment trends of process manufacturers. Companies included in this research had more than 500 employees. All respondents were either the primary decision-maker or part of a team that makes decisions related to PLM in the North America, EMEA, and APAC regions.

Nutanix .NEXT 2026: Enabling Customer Choice in Compute and Deployment Architectures

Matthew Flug — Tue, 14 Apr 2026 04:00:00 GMT

The announcements Nutanix made its annual event .NEXT center on creating a "dual native" platform that enables customers to operate virtual machines, containers, and AI workloads through a unified operational model across hybrid and multi-tenant environments. The updates reflect broader market trends regarding increased popularity of multi-cloud and hybrid cloud strategies, platform consolidation and AI and agentic AI enablement.

Nutanix at .NEXT 2026: The Dual Native Bet, Bare Metal Kubernetes Simplicity, and Expanding Storage Optionality

Shahin Hashim — Tue, 14 Apr 2026 04:00:00 GMT

At .NEXT 2026 in Chicago, Nutanix announced a "dual native architecture," the assertion that virtual machines and containers are first-class citizens on the Nutanix Cloud Platform sharing unified data services, lifecycle management, and provisioning across on-premises, hyperscaler, sovereign, and service-provider-delivered environments. Supporting announcements include NKP Metal for bare metal Kubernetes (Early Access, GA H2 2026), a strategic alliance with NetApp integrating ONTAP with NCP and AHV, SP Central for multi-tenant service provider enablement (Early Access, GA H2 2026), and on-premises availability of Data Lens 2.0 and Nutanix Cloud Manager 2.0 (both GA now).

IDC sees three takeaways. First, the infrastructure platform market is differentiating along an architectural fault line: vendors that pick a native compute model and accommodate the other versus vendors claiming compute-model neutrality. This is not a feature comparison. It is a platform identity decision that will shape competitive outcomes over the next three years. Second, bare metal Kubernetes remains an unsolved simplicity problem at HCI-grade operational standards. NKP Metal is an early attempt to apply HCI-era design principles, including integrated installer, integrated storage, and unified lifecycle management, to container infrastructure. Third, Nutanix's evolution from an HCI vendor toward an infrastructure software platform on heterogeneous infrastructure has been underway for several releases, through compute-only nodes, NC2 on hyperscalers, and Dell PowerFlex support. The NetApp strategic alliance and additional Dell PowerStore support at .NEXT 2026 signal that this trajectory is accelerating and may be approaching the point where Nutanix is evaluated primarily as a software platform rather than an HCI vendor.

SiFive closes $400 million financing round: Eyes datacenter expansion

Jim Hines, Jeff Janukowicz, Ashish Nadkarni, Phil Solis, Nina Turner — Tue, 14 Apr 2026 04:00:00 GMT

On April 9^th, 2026, SiFive, a RISC-V processor vendor, announced it has raised $400 million in an oversubscribed Series G financing to accelerate its high-performance datacenter roadmap. The equity funding round was led by Atreides Management with other noteworthy investors including Apollo Global Management, NVIDIA, Point72 Turion, and T. Rowe Price Investment Management and others. This financing round values the company at $3.65 billion and is meant to accelerate SiFive’s RISC-V processor (CPU) and AI IP solutions for the datacenter market. IDC estimates the overall datacenter market will surpass $3T in 2028.

SiFive is one of few startups that is seeking to commercialize RISC-V, which is noteworthy for being a free and open-standard instruction set architecture based on a RISC (reduced instruction set computer) design. Unlike proprietary ISAs such as x86 and Arm, RISC-V specifications are released under free and open licenses and can be implemented without paying royalties.

According to SiFive, the firm has sought to develop intellectual property that provides the blueprint for high-performance, customizable, and energy-efficient processors across the entire computing spectrum, from the intelligent edge to the most advanced AI datacenters. SiFive claims that it saw record growth in 2025 and its IP is featured in more than five hundred designs, with over ten billion cores shipped to date. With this funding round, SiFive is doubling down on the datacenter using the proceeds to "accelerate the development of its next generation datacenter solutions and expand its global engineering teams to meet the needs of agentic AI workloads", specifically to,

Expand the roadmap of high-performance scalar, vector and matrix RISC-V CPU, accelerator, and system IP.
Accelerate data center software development on the SiFive platform, building on existing ports of CUDA, RedHat and Ubuntu.
Collaborate closely with customers and industry leaders to streamline their path to deployment, such as with NVIDIA NVLink Fusion.

The datacenter processor landscape is poised to become more complex given the announcement by SiFive to enter the market. This comes on the heels of Arm entering the merchant silicon market with the launch of its own datacenter CPU. Vendors are eyeing the lucrative AI inferencing and agentic AI markets in which there appears to be a propensity to evaluate non-x86 processors to supplement GPUs and other accelerators.

CPUs are critical in agentic AI systems because they are efficient at orchestrating complex system level coordination tasks. Similarly, they can also handle inferencing workloads more efficiently, especially inferencing workloads that are embedded into business applications. As AI evolves toward more complex agentic models and inference workflows, efficient CPU performance is critical to expanding computing capacity within existing power envelopes, especially in datacenters where power and cooling is a limited resource. Processor vendors are seeking to cement a place in this transition by replacing complex, power-hungry legacy architectures with modern CPUs that are optimized for power efficiency. SiFive and Arm are seeking a berth with their own unique RISC-based IP that challenges the x86 dominance from Intel and AMD. For example, SiFive claims that "RISC-V integrates scalar, vector, and matrix computing into a single, standards-based interface that helps customers scale rapidly, significantly accelerating hardware development to match the speed of AI innovation".

2026年国内AIテクノロジー利用動向調査

Takuya Uemura — Mon, 13 Apr 2026 04:00:00 GMT

本調査レポートは、国内企業におけるAI（Artificial Intelligence）活用に向けたテクノロジーの利用状況や将来計画などについて、IDCが2026年2月に実施した企業ユーザー調査の結果を基に分析を行ったものである。AIテクノロジー投資の変化や、アプリケーションからインフラに至るテクノロジースタックにおけるAIの実装アプローチや取り組み状況、自律型AIエージェントへの対応などについて、同スタックを縦断的に把握することを目的として実施している。

国内企業におけるAI投資は転換点を迎えており、個人の生産性向上を目的としたSaaS（Software as a Service）利用の「第1フェーズ」から、ビジネス機能（業務プロセス）への深い組み込みや自律型AIエージェントを前提とする「第2フェーズ」への移行が進みつつある。このユースケースの高度化に伴い、AI投資はアプリケーション層に留まらず、ハイブリッドなインフラストラクチャやデータ統合基盤へと広範に分散する傾向が本調査から明らかになっている。「企業が高度なビジネス機能をAIで実現するためには、フロントエンドのアプリケーションの適応に留まらず、バックエンドのデータ基盤の統合やハイブリッドなインフラストラクチャを含めた、フルスタックアーキテクチャの再構築が不可欠となっている」とIDC Japan、AI and Automationのシニアリサーチマネージャーである植村卓弥は述べている。

2026年国内ソフトウェア開発・運用におけるAI活用ユーザー動向調査

Shinichi Kimura — Mon, 13 Apr 2026 04:00:00 GMT

本調査レポートは、IDCが2026年2月に実施した企業ユーザー調査の結果を基に、国内企業のソフトウェア開発・IT運用領域におけるAI（Artificial Intelligence）の利用実態と課題、将来的な活用方針などについて整理および分析したものである。AI技術が急速に進化、高度化する中で、国内企業の開発・運用業務における生成AIおよびAIエージェントの適用領域、導入効果、組織的／技術的な制約、投資計画などを包括的に把握し、AIが従来のソフトウェア開発・運用業務にもたらしている影響の実態を明らかにすることを目的としている。

国内企業のソフトウェア開発・運用業務におけるAI活用は、すでに導入に向けた議論や試験的な利用の段階を超え、その効果の最大化に向けた業務プロセスへの統合や組織の再設計、スキル高度化などに焦点が移っている。一方で、AIへの過度な依存や基礎スキルの低下、AI生成コードにおけるセキュリティリスクなど、AI実用化の進展に伴う課題が顕在化している。

IDC Japan、Software, Services, and IT Spendingのリサーチマネージャーである木村伸一は、「AIは、国内企業のソフトウェア開発・運用業務に急速に浸透し、業務プロセスや組織の在り方に構造的な変革をもたらしつつある。AI活用の巧拙が競争力を左右する時代において、国内企業は、技術の導入に留まらず、既存のプロセス、組織体制、人材・スキルを統合的に再設計することが求められる。急速に進化するAI技術をいち早く取り込み、活用の検証と改善を継続的に重ねることで組織に人とAIの協働モデルを確立することが、AI時代の競争優位を築く上で重要な鍵となるであろう」と述べている。

Anthropic Changes Vulnerability Discovery in Code: Is Project Glasswing Friend or Foe?

Frank Dickson, Philip Bues, Katie Norton, Grace Trinidad, Craig Robinson — Mon, 13 Apr 2026 04:00:00 GMT

The last time the world was shocked by vulnerability discovery was Log4Shell; Project Glasswing signals the end of that era, as Anthropic's Mythos model now finds critical flaws faster than any human team. For the first time, defenders must adapt to a reality where AI, not human ingenuity, sets the pace of discovery. The real challenge shifts from finding vulnerabilities to managing and remediating them at unprecedented speed.

IDC Survey Spotlight: 全球、亚太与中国渠道伙伴的业务增长重点有何不同？

Cindy Xin — Mon, 13 Apr 2026 04:00:00 GMT

此IDC调查显示，中国生态伙伴正处在从”卖产品”向”卖能力、卖方案”快速转型的关键期，全球渠道伙伴注重经常性收入与盈利能力，扩大客户规模；亚太伙伴强调地域扩张和专业化，抓住新兴市场机会；中国伙伴聚焦经常性收入、专业化和新厂商合作，重塑生态关系，提升差异化竞争力。