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Do Mythos and AI-Driven Vulnerability Discovery Create a Revival of Deception Technologies?

Frank Dickson, Christopher Kissel — Wed, 06 May 2026 04:00:00 GMT

AI-driven vulnerability discovery is transforming cybersecurity, shifting the bottleneck from finding flaws to remediating them. As vulnerabilities are uncovered at unprecedented speed, organizations face persistent exposure and compressed response timelines. Deception technology, with its high-fidelity detection and operational efficiency, is poised for renewed relevance. It offers a pragmatic, integrated approach to identifying real attacker activity inside networks, complementing existing controls and aligning with an assumed breach mindset in today's accelerated threat landscape.

"As AI turns vulnerability discovery into a flood, will deception become our most reliable defense in a world where attackers move faster than we can patch?" says Frank Dickson, group vice president, Security and Trust, IDC.

Google CloudNext 2026: Observability and AIOps Announcements Expand the Operation Scope of the Platform

Shannon Kalvar — Wed, 06 May 2026 04:00:00 GMT

IDC PeerScape: Customer Experience — Best Practices to Mitigate the Customer Energy Affordability Crisis

Gaia Gallotti, Jean-François Segalotto — Wed, 06 May 2026 04:00:00 GMT

This IDC PeerScape looks into practices that help mitigate the customer energy affordability crisis.

"Energy affordability is becoming a defining issue for utilities as electrification accelerates and infrastructure investments increase," said Gaia Gallotti, research director, IDC Energy Insights. "Customer experience is moving upstream within the electricity value chain, influencing not only billing and service interactions but also grid operations and planning, while advances in data analytics, AI, and connected devices enable utilities to identify affordability risks earlier and optimize energy consumption across the system."

Microsoft Customer Insights and Agent 365: An Emerging Architecture for Agentic Mesh for CX

Gerry Murray — Wed, 06 May 2026 04:00:00 GMT

Microsoft moved Conversational Journeys from public preview to general availability (GA) with SMS support on April 27, 2026. Then on May 1, 2026, it brought Microsoft Agent 365 to general availability as the enterprise control plane for observing, governing, and securing all AI agents across an organization. Together, these two releases move Microsoft's agent strategy from "build and deploy" to "build, deploy, and manage at scale."

Oracle Applications Analyst Summit 2026: Hitting it of the Park with Agentic Applications

Mickey North Rizza — Wed, 06 May 2026 04:00:00 GMT

Oracle held its Applications Analyst Summit 2026 April 28^th at Oracle Park in San Fracisco. While the San Francisco Giants were away, the technology analysts took over learning more about Agentic Applications. Oracle unveiled its next step in its AI in Fusion Applications moving from hundreds of Oracle-built AI agents, the AI Agents Studio for customer and partner-built AI agents, AI workflows and the AI Agent Marketplace with pre-built AI Agents to Agentic Applications.

Oracle’s movement to Agentic Applications is the natural next step for Oracle beyond embedding AI in the standard workflows. The AI Agents are driven by outcomes but based on specific business objectives such as close the books faster or reduce attrition that have dynamic workflows that can adjust to changing conditions to solve problems and achieve objectives. The Agentic Applications are built for enterprise execution within data governance, security, and approval frameworks, along with full auditability. The Agentic Applications are powered by teams of specialized agents that continuously advance work based on the organization’s objectives, such as ledger agent and consolidation agent that work towards accounting model objectives.

These new forward-looking Agentic Applications bring about a continuous review, an ability for the employee to review what is going on and look at areas that may need additional help, changes, or updates. Employees can quickly drill in, review and update as needed right then or make changes later on as it relates to their organizational standard operating procedures and policies. Oracle just recently introduced 22 new Fusion Agentic Applications, a part of Fusion Applications, including a few that captured my attention around Maintenance Operations Workspace, Design-to-Source Workspace, and Workforce Operations Command Center, that bring more business information across more functions while also bringing in more workflows beyond just task-based Agents.

While these new Agentic Applications are critical for creating faster decisions and more economic value, they are also creating the pathway towards the autonomous organization. The organization can use the Agentic Applications as little or as much as possible, which creates less autonomy with humans in the loop where the agent assists in tasks and workflows while the human decides. For organizations that need to understand AI better and build trust it does so with low risk. While the human in the loop brings out much it also has immediate productivity gains. The middle of the road towards autonomous is more about the human in the lead with Agents handling routine work and the human handling the exceptions while scaling operations quickly. As organizations gain trust and want to adopt more with the Agent driving the processes with the human owning the outcome, they move towards autonomous execution. Autonomous execution leads to end-to-end execution with policy, human only for true exceptions, continuous real-time optimization and maximum capacity and speed which is really about business transformation.

Oracle’s customers in attendance had much to say about the Agentic Applications though all was under NDA. The great news is everyone is working on AI and finding value in Oracle’s approach overall. And many are finding new methods of working, how to prioritize the use cases for adoption, and how to calculate their ROI (throughput, productivity, efficiency, etc.)

Platform and Professional Services Revenue Models Are Changing in the Agentic AI Era: Implications for Government IT Buyers

Massimiliano Claps — Wed, 06 May 2026 04:00:00 GMT

This IDC Perspective analyzes how professional services and platform vendors are embedding agents into their offerings, how they build bundles, and how they transition toward hybrid, outcome-based pricing.

"Agents are not features; they are work-performing actors embedded in business processes, customer journeys, strategic planning decisions, and IT and business operations. Government IT buyers need to update their acquisition and contract management practices to harness the value and control the costs over the life cycle of AI agents," says Massimiliano Claps, research director, IDC Government Insights.

Sustainable IT Infrastructure Strategies in Europe for Digitally Responsible Enterprises

Cristiano Quattrini, Margot Juros — Wed, 06 May 2026 04:00:00 GMT

This IDC Perspective examines how European enterprises are redefining IT infrastructure strategies to align digital transformation with sustainability objectives. As regulatory pressure, energy constraints, and AI-driven demand increase, retailers must integrate energy efficiency, decarbonization, and circularity into infrastructure design. Sustainable IT is emerging as a critical enabler of resilience, compliance, and long-term business value.

"Sustainable IT infrastructure is no longer a technical optimization but a strategic imperative in Europe, where regulatory pressure, energy constraints, and AI-driven demand are converging. Retailers that embed sustainability into infrastructure design today will be better positioned to balance performance, cost, and environmental responsibility while maintaining long-term competitiveness." — Cristiano Quattrini, senior associate advisor, IDC Retail Insights

The Enterprise Reality Check for AI Adoption: Moving Beyond Experimentation to Sustainable Scale

Jennifer Thomson — Wed, 06 May 2026 04:00:00 GMT

This IDC Perspective draws on insights from in-depth conversations with CIOs, CTOs, and senior technology and business leaders across Europe. These discussions took place during IDC executive dinners and industry events in 2Q26, spanning a diverse range of sectors from financial services, manufacturing, and utilities to automotive, retail, and technology services. These conversations uncovered what is genuinely holding organizations back: data readiness, legacy systems, governance friction, and the human dimension of change. It also offers a practical framework for evaluating professional services partners as organizations look to move from pilot to production.

“Technology is no longer the barrier. Enterprise leaders across Europe highlight that AI ambition is high, but data foundations, governance structures, and organizational alignment have not kept pace. That gap is holding most organizations back, and closing it requires a very different kind of focus than most AI programs currently have,” said Jennifer Thomson, AVP, IDC Global Services Insights

AI's Impact on Discovery, Advertising, and Brand

Roger Beharry Lall — Tue, 05 May 2026 04:00:00 GMT

This IDC Tech Buyer Presentation, delivered at IDC Directions 2026, provides buyers with insights regarding the impact of AI on discovery, advertising, and brand.

A tectonic shift is underway in how brands are discovered, evaluated, and chosen, as generative AI reshapes the rules of marketing and commerce. Traditional search is giving way to AI-generated answers, zero-click journeys, and agent-driven buying, where both consumers and B2B buyers increasingly rely on AI to research, compare, and even make decisions on their behalf. This transformation is redefining visibility, forcing brands to move beyond SEO toward becoming machine-readable, contextually relevant, and continuously optimized across a fragmented content and technology landscape.

In addition, new advertising models are emerging within AI environments, creating both disruption and opportunity. In this new era, success will depend on how well brands align content, data, and systems to influence AI-driven discovery — and ultimately earn a place in the decisions machines make on behalf of customers.

Defining AI Bill of Materials: Structure, Scope, and Role in AI Trust Services

Sakshi Grover, Grace Trinidad — Tue, 05 May 2026 04:00:00 GMT

This IDC Perspective examines the emergence of the AI bill of materials (AI BOM) as a foundational framework to manage the growing complexity of AI systems. As enterprises transition toward agentic, distributed, and continuously evolving AI architectures, traditional governance and security models are proving insufficient. The document outlines the structure, scope, and operationalization of AI BOM, highlighting its role in enabling system-level visibility, traceability, and control across models, data, pipelines, and runtime environments. It also explores enterprise adoption drivers, regulatory influences, and vendor approaches, positioning AI BOM as a critical control layer for managing risk, cost, and compliance in modern AI ecosystems.

"AI systems are evolving into distributed, stateful execution environments composed of models, data pipelines, prompt orchestration layers, APIs, and autonomous agents operating across dynamic runtime contexts. AI BOM functions as the control plane for this architecture, capturing dependency graphs, lineage, identity propagation, and runtime telemetry in a machine-readable form. Without this, enterprises cannot correlate system behavior with underlying components, resulting in blind spots across governance, security, and operational integrity as AI systems scale," says Sakshi Grover, senior research manager, Cybersecurity Products and Services, IDC.