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AI and Agentic AI in FSIs: From Experimentation to Enterprise Value — Insights from Wave 1 of IDC’s FERS Survey

Dr. Chris Marshall, Maria Adele Di Comite — Mon, 29 Jun 2026 04:00:00 GMT

This IDC Tech Buyer Presentation examines how financial services institutions (FSIs) are moving AI and agentic AI from experimentation into enterprise-scale execution. Drawing from wave 1 of IDC’s Future Enterprise Resiliency and Spending (FERS) Survey in March 2026, the analysis shows that FSIs have crossed the agentic AI production threshold and are now focused on scaling AI responsibly, with governance, measurable outcomes, and cost control at the center of the agenda. The market has moved decisively beyond pilots. The competitive question is no longer whether to adopt AI agents, but how fast firms can scale them with the governance, integration, and accountability frameworks required to do so safely.

This presentation also provides directional guidance and insights for financial services decision-makers on:

Scaling agentic AI beyond pilots into governed, enterprisewide deployment across credit, fraud, compliance, and servicing across business lines
Protecting and justifying AI investment even under recession concerns, by tying initiatives to measurable business outcomes such as cost to serve, productivity, and fraud reduction
Operationalizing AI governance as a strategic enabler by embedding explainability, auditability, and accountability into workflows before expanding autonomous capabilities
Building AI-ready data foundations through automation, modernization, and governance to sustain AI at scale
Selecting platforms and partners that combine cost transparency, cross-agent management, and governance by design for enterprise control, coupled with partners’ trustworthiness and compliance

Beyond the Data Dump: A Cybersecurity Metrics Framework Built for Boards, Executives, and Security Leaders for the AI Era

Philip D. Harris, CISSP, CCSK, Frank Dickson — Mon, 29 Jun 2026 04:00:00 GMT

This IDC Perspective details a framework for cybersecurity metrics that enables effective data-driven leadership. Cybersecurity has matured as a discipline. Once the dominion of hoodie-wearing basement dwellers, the topic has elevated to the C-suite and beyond. In essence, cyber-risk equals business risk. Just as revenue and expense information is shared at all levels of the organization, there is a need to share information on the effectiveness and efficiency of cybersecurity with operations, management, and corporate governance.

Cybersecurity metrics are extremely misunderstood. This confusion has much to do with how cybersecurity has evolved and matured over the past 40 years. What is needed are metrics derived from a consolidated intelligence repository in the form of language that communicates risk likelihood versus impact to the business, whether financial or otherwise. Today’s environment calls for a capability to collect rich contextual information that provides not only metrics and statistics but additional risk and compliance insights and themes across the cybersecurity program to aid in both strategic and tactical management, known as data-driven metrics. The emergence of AI has introduced a new and urgent dimension to this challenge — reshaping the threat landscape while creating a new class of ungoverned internal risk from organizations’ own AI deployments — requiring metrics frameworks that measure both dimensions with equal rigor.

GRC platforms can provide data-driven metrics leveraging a rich consolidated repository of internal and external business, IT, and cybersecurity contextual intelligence. Through automation, machine learning (ML), and AI, GRC platforms today can utilize and enhance findings through an integrated repository of internal and external contextual business, IT, and cybersecurity intelligence fabric.

“The age of AI demands a fundamental rethink of how organizations measure cybersecurity risk. Reporting firewall blocks to boards while AI systems operate without governance or accountability is no longer acceptable. Data-driven metrics — built on a consolidated intelligence platform and extended to capture AI-specific risk at every audience level — are not just the best practice. They are a business imperative,” says Philip Harris, research director, Governance, Risk, and Compliance Services, IDC.

CMO's Guide to Know Your Agent

Gerry Murray — Mon, 29 Jun 2026 04:00:00 GMT

This IDC Perspective provides guidance on applying and complying with know your agent (KYA), a governance and verification framework for managing interactions with agentic buyers. KYA implementation is a critical step on the path to agentic commerce readiness.

"Brands require new frameworks to manage agentic identity, trust, and accountability. Know your agent is an emerging standard for marketing organizations, and they should embrace KYA if they want to lead as agentic commerce scales. Learn from the share losses that unprepared brands suffered when webstores and mobile commerce scaled after deceptively slow starts." — Gerry Murray, research director, Enterprise Marketing Apps and Agents at IDC

DASH 2026 Signals Datadog Is Serious About Security

Katie Norton, Michelle Abraham, Grace Trinidad — Mon, 29 Jun 2026 04:00:00 GMT

Datadog's DASH 2026 announcements included a set of security releases extending AI-assisted detection, investigation, and remediation across code, cloud, and the SOC. The releases matter less for any individual capability than for the wager beneath them: that the live record of how systems behave in production is the data layer security tooling in the AI era will run on.

From Data Governance to AI Governance in the Middle East and Africa

Melih Murat — Mon, 29 Jun 2026 04:00:00 GMT

"As organizations in the Middle East and Africa accelerate toward AI-driven futures, the critical question is shifting — not just whether data is accurate, but whether AI decisions are defensible, explainable, and governed at the speed of autonomy. In the era of agentic AI, governance is no longer a compliance checkbox: It is the foundation for trust, scale, and competitive advantage," says Melih Murat, Associate Research Director, Artificial Intelligence, IDC.

Google Says AEO and GEO Are Still Just SEO: Practical Advice on How to Overcome Discovery FUD

Roger Beharry Lall, Heather Hershey, Tiffany McCormick — Mon, 29 Jun 2026 04:00:00 GMT

This IDC Perspective talks about Google’s May 2026 guidance, which dismisses much of the GEO and AEO consulting market. Here’s how to navigate the noise, protect your budget, and prepare your team for what’s actually coming. This document equips technology buyers with the practical actions needed to navigate the SEO landscape of today with confidence and without overcommitting to a single tech vendor’s playbook.

According to Heather Hershey, research director at IDC, “Digital commerce and marketing practitioners are frantically attempting to build a new foundation on quicksand during an earthquake. Separate signal from noise, trim the fat and refine the foundations of your SEO essentials and, above all, keep testing! At this stage, anyone who says they know everything about this topic is a charlatan; even the LLM providers themselves seem to be making things up as they go.”

How to Promote Application Modernization to European Boards

Cyrille Chausson — Mon, 29 Jun 2026 04:00:00 GMT

This IDC Perspective provides European CIOs with the framing, evidence, and arguments needed to win sustained board support for application modernization in 2026. Three structural pressures converge on the European application estate: macroeconomic discipline, the AI mandate, and the weight of the legacy estate itself. Compliance and digital sovereignty have shifted from optional considerations to structural costs that reshape the modernization road map. AI plays two distinct roles: as the forcing function for modernization and as the enabler that makes previously uneconomic modernization feasible. Modernization itself is now best understood as a risk management posture that reduces cyber, regulatory, operational, talent, and geopolitical exposures in parallel.

This IDC Perspective provides modular arguments and a set of CIO practices to translate the modernization case into board approval. “Boards only see a system that still works and not the cost of legacy. But AI is the only technology in twenty years that simultaneously makes application modernization more necessary and more affordable. European CIOs who act on that paradox now will compound the advantage for a decade. Those who wait will pay for both the deferred modernization and the deferred AI return at the same time,” said Cyrille Chausson, research manager, IDC.

IDC MarketScape: Worldwide Life Sciences Track-and-Trace/Serialization Solutions 2026 Vendor Assessment

Nino Giguashvili — Mon, 29 Jun 2026 04:00:00 GMT

This IDC MarketScape evaluates vendors providing track-and-trace (T&T)/serialization solutions to life sciences organizations worldwide. Leveraging the IDC MarketScape evaluation model, this study provides a comprehensive assessment of vendors against essential criteria that life sciences organizations should consider when selecting their T&T/serialization vendors to maximize the value of their compliance-driven investments. This is the inaugural IDC Health Insights document on the topic conducted in collaboration with IDC Manufacturing Insights.

"The track-and-trace/serialization market has reached an inflection point in pharma; regulatory compliance is now a foundational requirement, and the industry is moving from compliance-driven adoption to value maximization. Success will be defined by organizations' ability to unlock the value of traceability data to drive supply chain intelligence, resilience, and value," says Nino Giguashvili, research manager, IDC Health Insights Worldwide Life Sciences Commercial Strategies.

IDC MarketScape: Worldwide Manufacturing Track-and-Trace/Serialization Solutions 2026 Vendor Assessment

Reid Paquin — Mon, 29 Jun 2026 04:00:00 GMT

This IDC MarketScape evaluates vendors providing track-and-trace/serialization solutions to manufacturing organizations worldwide. Leveraging the IDC MarketScape model, this study provides a comprehensive evaluation of essential criteria manufacturing organizations must consider when selecting their T&T/serialization vendors to maximize the business value of their T&T/serialization investments. This is the inaugural IDC Manufacturing Insights document on this topic, conducted in collaboration with IDC Health Insights.

"As manufacturers look for ways to respond more effectively to disruption, the ability to track where a product or component went and trace where it came from is becoming essential. Ultimately, traceability helps manufacturers prevent small problems from becoming larger and more expensive ones. The more nodes, handoffs, geographies, and/or regulations involved in the supply chain, the more a manufacturer is at risk without T&T/serialization," says Reid Paquin, research vice president, Worldwide Industry Ecosystems and Business Networks Strategies.

IDC MarketScape: Worldwide Private and Hybrid Cloud Management with Automation 2026 Vendor Assessment

Jevin Jensen — Mon, 29 Jun 2026 04:00:00 GMT

This IDC study represents a vendor assessment of the private and hybrid cloud management with automation software market through the IDC MarketScape model.

Enterprises are pushing CloudOps and SRE teams to improve resiliency while rapidly deploying GenAI and agentic AI–ready infrastructure. The private cloud continues to be used for both new and existing workloads.

"A platform approach to private cloud management, monitoring, and automation enables IT teams to more efficiently and effectively support these complex AI environments," says Jevin Jensen, research VP, Infrastructure and Operations, IDC. "Standardizing and consolidating multiple IT automation solutions reduce training and maintenance costs while increasing the adoption of automation, which improves resiliency that the business demands."