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Beyond Check the Box: Choosing a Security Framework Built for AI Risk, Quantum Threat, Regulatory, and Your Organization's Reality

Philip D. Harris, CISSP, CCSK — Mon, 27 Jul 2026 04:00:00 GMT

This IDC Perspective updates IDC's foundational guidance on framework selection to reflect a materially changed landscape: NIST CSF 2.0 expanded scope and added a Govern function in 2024; DORA became applicable to approximately 22,000 EU financial entities in January 2025; and PCI DSS v4.0 retired the legacy standard in March 2024. Security framework selection is a risk management decision, not a technical checklist. Organizations that have not revisited their framework strategy since 2022 are likely operating against outdated assumptions about both the available options and the regulatory obligations that may constrain — or drive — their choice.

Two criteria that did not exist as first-order considerations in 2022 now demand explicit attention. AI adoption has introduced new attack surfaces — model poisoning, prompt injection, and agentic system risks — for which NIST published a draft Cyber AI Profile in December 2025. Post-quantum cryptography (PQC) has moved from theoretical concern to operational imperative, with NIST finalizing three PQC standards in August 2024 and regulators establishing migration deadlines. Organizations that embed both considerations into their framework selection process now will be substantially better positioned than those that treat them as future-state concerns.

"The right security framework is a critical factor in adequately managing security risks not only present today but also risks that could appear in the future," says Phil Harris, research director, Cybersecurity GRC Solutions at IDC. "The 2026 landscape demands that organizations evaluate AI governance and post-quantum cryptography readiness as first-order criteria, not future-state considerations. Organizations that apply a structured, criteria-driven approach, supported by capable GRC technology, will make framework choices that are the right fit today and resilient enough to evolve as the threat and regulatory landscape continues to change."

Cinven's Acquisition of Salsify: A Bet on a Retail Network Marketed as a Bet on Bots

Heather Hershey — Mon, 27 Jul 2026 04:00:00 GMT

Hewlett Packard Enterprise Advances Simulation and AI Infrastructure Across Supercomputing and Enterprise Environments

Madhumitha Sathish, Peter Rutten — Mon, 27 Jul 2026 04:00:00 GMT

Hewlett Packard Enterprise’s (HPE) announcements at ISC 2026 and HPE Discover 2026 highlight an approach centered on bringing together modeling, simulation, and AI capabilities within integrated infrastructure environments delivered through hybrid and private cloud models. Across its portfolio, which includes supercomputing systems, AI Factory solutions, and GreenLake, HPE demonstrates how accelerated computing, networking, and software can be combined to support simulation workflows alongside AI-driven data processing and analysis. Enterprise deployments, cloud-scale environments with partners such as Vultr, and continued advancements in HPE Cray supercomputing platforms reflect how these capabilities are being applied to address a range of data-intensive use cases. Overall, HPE’s announcements emphasize the role of unified infrastructure in enabling organizations to run complex workloads while maintaining performance, control, and scalability.

IDC views this direction as representative of how organizations are increasingly applying simulation and AI capabilities together to support engineering, research, and operational objectives. As these workloads continue to grow in complexity and scale, integrated environments that combine high-performance compute, networking, and software are expected to play an important role. Hybrid deployment models, along with consumption-based approaches, provide flexibility for organizations to deploy these capabilities while maintaining governance and operational oversight.

“Across HPE’s portfolio, including supercomputing with HPE Cray, AI Factory solutions, networking, and hybrid cloud, modeling, simulation, and AI capabilities are increasingly brought together, building on the company’s long-standing HPC expertise to support performance-intensive workloads across the energy, manufacturing, healthcare and life sciences, financial services, and public sector industries,” says Madhumitha Sathish, research manager, IDC.

IDC Directions Tokyo 2026：成長を導くAIインフラ－次の10年の競争力を左右するインフラ戦略とソブリンAI

Yukihisa Hode, Shinya Kato — Mon, 27 Jul 2026 04:00:00 GMT

本Conference Proceeding: Tech BuyerはIDC Japan、AI and Automationのシニアリサーチマネージャーである加藤慎也と同社Infrastructure, Imaging & Devicesのリサーチマーネジャーである宝出幸久による講演の内容をプレゼンテーションスライドと音声ファイルによって提供するものである。

IDC Survey Spotlight: Do AI and Edge Interconnects Gain Ground as Investment Drivers Shift?

Ajeet Das — Mon, 27 Jul 2026 04:00:00 GMT

This IDC Survey Spotlight presents the shift in investment drivers to support the evolving use cases for AI and edge interconnect. It contains data from IDC's Worldwide Telco DX Network Infrastructure and Cloud Survey, April 2026, based on the response from 318 communications service providers worldwide.

"AI-related bandwidth growth remains the leading driver of optical network investments today and over the next three years. At the same time, edge datacenter interconnects show the strongest momentum, rising significantly in priority as operators expand AI ecosystems beyond core facilities," Ajeet Das, research director, Telecom Infrastructure at IDC.

IDC Survey Spotlight: How Are Enterprises Upgrading the Edge to Support AI and ML Workloads?

Olga Yashkova — Mon, 27 Jul 2026 04:00:00 GMT

This IDC Survey Spotlight highlights the results of IDC’s 2025 EdgeView Survey. Enterprises know that not all of their edge locations are ready for AI. IDC’s 2025 EdgeView Survey (n = 800) asked enterprise IT leaders what it will take to run AI and ML workloads at the edge, and the answers point to a buildout most organizations are not equipped to handle alone. IDC believes colocation will play an increasingly important role in enabling faster deployment of accelerator-heavy edge AI workloads, while enterprises modernize their distributed infrastructure footprints.

IDC Survey Spotlight: Which AI Type Delivers the Most Value at Each Stage of the ESG Data Life Cycle?

Bjoern Stengel — Mon, 27 Jul 2026 04:00:00 GMT

Success in AI-powered ESG data management hinges on matching the right type of AI to each stage of the ESG data life cycle, rather than betting on a single technology. While predictive AI is the most cited “most beneficial” type overall (32% weighted), it only leads 2 of 6 life cycle stages, with agentic AI winning on strategy and risk, and interpretive AI on regulatory intelligence. Budget commitment has moved well past experimentation, as most organizations already allocate a quarter or more of their AI budget to sustainability-related tasks, and many plan to increase that investment further.

This IDC Survey Spotlight draws on IDC’s 2026 AI and Sustainability Survey (n = 1,570), mapping which AI types deliver the most value at each ESG management stage.

IDC Survey: 2026 Sustainability/ESG Services Survey — Buyer Maturity Is Pushing Providers to Invest

Dan Versace — Mon, 27 Jul 2026 04:00:00 GMT

This IDC Survey examines the global sustainability services market, using data from 600 enterprise organizations across the Americas, EMEA, and Asia/Pacific collected in June 2026. It maps how organizations invest in sustainability consulting, how they select providers, and where vendors fall short.

The findings reveal a market that has moved past the question of whether to invest and is now sharply bifurcating, by engagement scale and by region, in ways that vendors operating a single global model are systematically misreading.

The data surfaces three structural findings. First, the $10 million annual spend threshold is a hard dividing line: below it, buyers need standardized ROI-anchored frameworks; above it, they need program governance and persistent delivery infrastructure. One service model cannot serve both. Second, customizability is a universal critical gap: every region and every seniority level rates it highly in importance but low in satisfaction. Third, regional motivation is structural: APAC buys for operational efficiency, EMEA for compliance and external pressure, Americas for brand value and cost reduction.

Vendors should assess whether their current service architecture, delivery model, and go-to-market motion are built for one market or three.

Key findings:

$10 million–20 million is the modal annual engagement band (38%); 67% of all engagements fall between $2.5 million and $20 million, the zone where the market is won or lost.
APAC's operational efficiency score (90%) as an investment driver is more than 20 points above any other region on any driver, the single most extreme regional divergence in the data.
The CSO owns purchasing in 55.5% of Americas organizations; that drops to 22% in EMEA and 19% in APAC, where authority is fragmented across the CIO, CFO, and chief supply chain officer.
Customizability is the most cited critical gap across all three regions and all buyer seniority levels: vendors are delivering standardized engagements to a market that selected them for flexibility.
EMEA's poor customer service score (20%) is nearly four times the rate of Americas (5%) and APAC (4%), signaling a delivery gap that pricing adjustments alone will not close.
Data security and employee health, safety, and DEI lead ESG service priorities globally, outranking GHG emissions management, a direct challenge to the assumption that sustainability services mean carbon and climate.

IDC Survey: European Contractual Print Dynamics

Gala Spasova, Jacqui Hendriks — Mon, 27 Jul 2026 04:00:00 GMT

This IDC Survey examines how European organizations manage and evolve contractual print relationships across contract duration, provider loyalty, switching behavior, and engagement preferences.

IDC received 2,057 valid responses to its European B2B Print Opportunity Survey completed in April 2026; this excerpt focuses on how organizations are extending, renewing, switching, or exiting print contracts across company sizes and regions.

The survey highlights that switching decisions are increasingly influenced by broader digital and workflow capabilities, including nonprint IT offerings and workflow automation support, rather than print cost considerations alone, particularly among larger and more operationally complex organizations.

In Defense of Open Models: Kimi K3, Distillation, and the Future of Intelligence

Arnal Dayaratna — Mon, 27 Jul 2026 04:00:00 GMT