Knowledge Hub / Georgy Ovanesyan

Partner Spotlight

Georgy Ovanesyan
Chief Executive Officer
Axidian

Partner Spotlight

The Service Account Did It – Three Questions Your AI Agent Must Answer

An AI agent updates a supplier’s payment details. Later, someone asks what happened. The business application has one answer: a service account made the change.

That is not an answer. It does not say who requested it, which agent interpreted the instruction, or whether the action stayed inside its approved authority.

Most organizations cannot say how many AI agents have access to their systems. Every one of them can act.

Saudi Arabia has already set out what good looks like. In July 2026 the National Cybersecurity Authority opened its draft AI Cybersecurity Guidelines (AICG-1:2026) for public consultation — four domains, fifteen subdomains and forty-two guidelines covering generative and agentic AI. They are recommended practice rather than mandatory controls, but NCA advises every entity adopting AI to apply them.

Preparing does not require a new compliance programme. Three questions cover most of it.

Who is acting?
Every agent needs an identifiable owner and a defined purpose, and its actions must connect back to the person or approved process that initiated them. AICG asks for an inventory of all AI system components with defined owners and lifecycle status (2-1-1, 2-1-2), and for agent actions to be classified by impact, likelihood and reversibility (1-1-2).

What is it allowed to do?
An agent reaches corporate systems through service accounts, API tokens or other machine credentials. AICG asks for role-based permissions defined explicitly for human users, service accounts and AI agents alike, under least privilege and segregation of duties (2-2-1), and for periodic review of the identities, access rights, tokens and service accounts those systems use (2-2-2).

What did it do?
The organization must be able to reconstruct which systems, data and tools the agent reached, what it did and what resulted. AICG asks for logging of authentication and access events, privileged actions, data access, prompt configuration changes and tool invocations (2-8-1), and of AI-initiated actions affecting confidentiality, integrity or availability (2-8-2).

Together these create a traceable chain connecting identity, permission and action — and make graduated autonomy under continuous human oversight (1-2-7) enforceable rather than aspirational.

Start now. Take one high-impact agent and trace a single action from instruction to outcome.

Can you name the initiator, the agent, the credential, the permissions it used and the result it produced?

If the only answer is a service account, the work starts there.

By Invitation

8 Dec 2026 9:00 – 15:30 | Mövenpick Hotel and Residences Riyadh

By Invitation

On-Device AI and Apple at Work

Executive Tech Summit. Presented by Apple and IDC.

8 Dec 2026 9:00 – 15:30 | Mövenpick Hotel and Residences Riyadh

The shift

AI is moving from the cloud to the device. According to IDC, 83% of enterprises are already running or planning AI workloads at the edge. By 2027, two-thirds of enterprise applications will carry on-device generative AI features. This isn’t a trend to watch. It’s a transition already underway.

 

What’s at stake

Most organizations were built for a different era: centralized infrastructure, cloud-first security, browser-based workflows. On-device AI changes the equation across the board, from infrastructure to endpoints to policies. This is not a hardware refresh. It’s about whether your entire technology foundation is ready for what comes next or whether you’ll spend the next decade catching up.

 

This forum brings together IDC analysts, Apple technology leaders, and enterprises who’ve already made that transition to share real-world frameworks, not theory.

 

Join the leaders who are already ahead.

What you’ll take away

Apple at Work

What services Apple and its partners offer to make deployment, management, and support of Apple products easy at scale.

On-device AI: What it means for your fleet.

Why the future of enterprise AI is hybrid, and how Apple products are engineered for that shift today.

The real cost of a platform decision.

Why TCO is not just a hardware conversation, and how infrastructure, support, and lifecycle costs reshape IT budgets.

Security and governance at scale.

How zero-touch deployment and built-in security change what fleet IT can manage without growing the team.

Employee choice as a business strategy.

How leading enterprises are turning device choice from an employee perk into a measurable productivity gain.

Venue

Mövenpick Hotel and Residences Riyadh

Jade Ballroom

District, 3478 North Ring Road Exit 4 Al Ghadeer, Riyadh

In Association with

Be Part Of It!

Register Now

IDC & Zoho Roundtable

IDC & Zoho Roundtable

Beyond the Pilot – How CIOs Are Turning AI Experiments Into Enterprise Reality

Sponsored by

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The UAE has set a deadline on agentic AI. The federal government plans to run half of its operations through autonomous agents within two years, and its private sector is following suit. IDC’s research shows many organizations aren’t ready to prove their investment is paying off: 43% of UAE organizations don’t yet consider themselves able to capture full value from AI, and the top reason is that they cannot show a clear return once an agent moves from a pilot into daily operations.

 

IDC and Zoho are bringing together CIOs and IT leaders from across the UAE for a closed-door roundtable in Dubai to work through how to turn the mandate into an early, provable return on agentic AI.

 

The session covers how CIOs are proving agentic AI ROI in practice: what to measure, who owns the number, and how to defend it once budgets are on the line.

Agenda

IDC & Zoho Roundtable

Mon, Oct 12

12:30

Registration, Welcome Lunch & Networking

13:30

Welcome Address

13:35

IDC Keynote: The Agentic Countdown: What UAE CIOs Must Prove in Two Years

Melih Murat

Melih Murat

Associate Research Director, Artificial Intelligence (META), IDC

13:55

Scaling from Single Workflow to Enterprise-wide Agent Deployment

Premanand Velumani

Premanand Velumani

Associate Director – Strategic Growth, MEA, Zoho

14:15

Open Discussion: What UAE CIOs are Actually Measuring to Prove ROI

Vinodh Murahari Muralidharan

Vinodh Murahari Muralidharan

Head of Enterprise Solutions & Services, Zoho MEA

15:00

Summary & Close

15:10

Networking

Partner

Venue

Sushi Samba

Samba Room
Level 51, The St. Regis Dubai
The Palm Jumeirah

Be Part Of It!

Register Now

IDC and Schneider Electric Roundtable

IDC and Schneider Electric Roundtable

Beyond the Hype: Understanding Africa's AI Readiness Through the Lens of Enterprise Infrastructure

Sponsored by

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Overview

Everyone is talking about AI, but what does it actually take to make AI work in a real business environment?

 

According to IDC, 68% of South African organizations now have concrete AI use cases running across multiple departments. Many are learning that success depends on the right foundations: data, compute capacity, resilient infrastructure, and operational readiness. This roundtable moves past the buzzwords to look at what enterprises actually face as they prepare for an AI-powered future.

 

Participants will share where they stand in their AI journey, the infrastructure challenges they’ve run into, and the investments they see as most important over the next few years. The goal is an honest read on Africa’s readiness for AI, and a clear view of the opportunities and gaps that will shape adoption at scale.

Agenda

IDC and Schneider Electric Roundtable

Tue, Oct 13

8:30AM

Registration & Networking

9:30AM

Welcome Address

Jonathan Tullett

Jonathan Tullett

Associate Research Director, IDC

9:35AM

Welcome by Schneider Electric

Steve Santini

Steve Santini

Secure Power & Data Centers Vice President, Sub‑Saharan Africa, Schneider Electric

9:40AM

IDC keynote: Africa’s AI Infrastructure Reality Check

This session provides a candid assessment of Africa’s readiness to support large-scale AI adoption. We will examine the current state of digital infrastructure—including datacenter capacity, connectivity, and power reliability—while addressing key challenges such as limited sovereign cloud options, skills shortages, and regulatory hurdles. The discussion will also highlight emerging opportunities, regional innovation hubs, and strategies for bridging infrastructure gaps to unlock the continent’s AI potential.

Jonathan Tullett

Jonathan Tullett

Associate Research Director, IDC

10:00AM

Tea/Coffee Break

10:20AM

Open Discussion: The CIO’s Infrastructure Dilemma, where South African enterprises are placing their Next Bet

Join this open discussion to explore the infrastructure dilemmas facing South African CIOs as they weigh cloud, on-premises, and hybrid strategies in a rapidly evolving landscape. Participants will share experiences and debate how to balance cost, resilience, and innovation—considering hyperscale cloud, local datacenters, and edge deployments. The session invites candid dialogue on investment patterns, risk management, and the CIO’s evolving role in shaping infrastructure decisions for digital transformation and competitive advantage.

Jonathan Tullett

Jonathan Tullett

Associate Research Director, IDC

Steve Santini

Steve Santini

Secure Power & Data Centers Vice President, Sub‑Saharan Africa, Schneider Electric

11:45AM

Summary and Close

12:00PM

Networking Lunch

Speakers

Jonathan Tullett

Jonathan Tullett

Associate Research Director

IDC

Read bio

Steve Santini

Steve Santini

Secure Power & Data Centers Vice President, Sub‑Saharan Africa

Schneider Electric

Read bio

Partners

Proceedings

Proceedings

Venue

One&Only Cape Town
Dock Rd, Victoria & Alfred Waterfront
Cape Town, 8001, South Africa

Proceedings

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Knowledge Hub / Neil Hare-Brown

Analyst Spotlight

Neil Hare-Brown
CEO
STORM Guidance

Analyst Spotlight

AI Risk Is No Longer Theoretical: Governance Before the Incident, Investigation After It

Artificial Intelligence is already embedded within everyday organisational activity. Employees use it to research, analyse, summarise, draft, classify and recommend. More advanced systems can make decisions, communicate with customers, initiate transactions and undertake multi-stage activities with limited human involvement.

The risks are well recognised: inaccurate outputs, hallucination, bias, privacy issues, intellectual property concerns, security vulnerabilities and regulatory breaches. But beneath these risks sits a more fundamental governance question: when AI is used to perform work for an organisation, who is responsible for what it does?

This is not only a question for autonomous AI agents of the future. It exists whenever AI is used in organisational activity today. Even when an employee uses AI to summarise a report or support a recommendation, part of the cognitive work behind the organisation’s eventual advice has been delegated. The employee acts on behalf of the organisation, and AI sits within that same chain of delegated responsibility.

This is the basis of On-Behalf-Of, or OBO, Governance. The governance question is not whether AI is acting on behalf of the organisation. When AI performs organisational activity, it already sits within an OBO chain. The real question is what capability, discretion and authority have been delegated to AI, by whom, and subject to what controls.

Capability can be delegated. Authority can be delegated. Accountability cannot simply disappear into the delegation chain.

Standards such as ISO/IEC 42001, ISO/IEC 23894, ISO/IEC 38507 and the NIST AI Risk Management Framework provide useful foundations for AI governance. However, organisations must also establish clear traceability of responsibility: what AI systems are being used, who is using them, what information they can access, what decisions they can influence, what actions they can perform, and where responsibility ultimately sits.

The same principle applies after something goes wrong. Insurance may transfer some financial consequences of an AI incident, but it cannot establish causation. That requires investigation. AI incidents introduce new investigative challenges because models, prompts, retrieved information, configurations and external services may change, while outputs may be probabilistic.

Governance and investigation are two sides of the same problem. Before an incident, governance should establish who delegated what, to whom or what, for what purpose, within what limits, and subject to what controls. After an incident, investigation works backwards through that same chain to determine what happened, what AI contributed, what authority it had, what controls operated, and where responsibility resides.

AI risk does not need to be eliminated to be manageable. But it does need to be governed, and when it fails, it needs to be investigated properly.

Read the full article here

IDC & Veeam Roundtable

16 Nov 2026 Fairmont Riyadh

IDC & Veeam Roundtable

Be Connected: Building Trust in the Age of Agentic AI

16 Nov 2026 Fairmont Riyadh

In Partnership With

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The Trust Deficit: What Agentic AI Exposes in Enterprise Data

Every enterprise in Saudi Arabia can run AI today. Very few can prove the data behind it deserves to be trusted. Resilience, security, compliance, and governance still live in separate silos. Agentic AI doesn’t wait for them to catch up. According to IDC, 84% of IT decision-makers globally already run generative AI in production. Only12% have moved past the basics to actually measure its value and risk.

 ​

IDC and Veeam are bringing together CIOs and CISOs from across Saudi Arabia’s enterprise landscape, on the sidelines of the IDC Saudi CIO Summit, for a closed-door conversation on what it actually takes to bridge that gap.

​

This interactive peer exchange will focus on lessons from the ground: what’s working, where organizations are facing friction, and how leaders are navigating the complexities of resilience, security, compliance, and governance while continuing to move AI forward.​

Key Learning Outcomes Include

Recovery is part of trust

Data you can’t recover is data you can’t trust, no matter how well it’s governed.

Governance that keeps pace with agentic AI

Only 12% of organizations have moved past basic inventory to measure AI value and risk (IDC, 2026).

Compliance as proof
Boards and regulators want evidence, not a binder.

Know what’s exposed
Security posture means knowing where sensitive data lives and who can reach it.

Agenda

IDC & Veeam Roundtable

Sun, Sep 27

6:30PM

Registration & Networking

7:00PM

Welcome Address

Mena Migally

Mena Migally

Regional Vice President – EMEA East, Veeam Software

7:05PM

IDC Keynote: The Data Control Plane Gap in Saudi Arabia

Saudi organizations are still addressing foundational readiness gaps across data, skill and governance, even as investment increasingly shifts toward generative AI. Drawing on IDC’s latest survey data, this keynote examines the current state of AI readiness in Saudi Arabia and what organizations need to do to scale agentic AI safely and effectively.

Shilpi Handa

Shilpi Handa

Associate Research Director (META), IDC

7:20PM

Data and AI Trust CONVERGE for the Agentic Era

Digging into how data trust and AI trust are merging into a single governance problem as agentic AI moves from pilots into production.

Nina Tebbe

Nina Tebbe

Senior Director Enterprise Sales EMEA, Veeam Software

7:40PM

Coffee & Prayer Break

8:00PM

Veeam: Learning from the Adversary: Real-world Resilience with Veeam

Veeam’s session, framed around resilience — likely covering ransomware/attack scenarios and how backup and recovery strategy needs to evolve to keep data (and by extension AI systems built on it) trustworthy and recoverable.

Andre Troskie

Andre Troskie

EMEA Field CISO, Veeam Software

8:30PM

Summary & Closing Remarks

Jawad Moghnieh

Jawad Moghnieh

Regional Director & General Manager – Saudi Arabia & Bahrain, Veeam Software

8:35PM

Networking Dinner

Speakers

Mena Migally

Mena Migally

Regional Vice President – EMEA East

Veeam Software

Read bio

Andre Troskie

Andre Troskie

EMEA Field CISO

Veeam Software

Read bio

Nina Tebbe

Nina Tebbe

Senior Director Enterprise Sales EMEA

Veeam Software

Read bio

Jawad Moghnieh

Jawad Moghnieh

Regional Director & General Manager – Saudi Arabia & Bahrain

Veeam Software

Read bio

Shilpi Handa

Shilpi Handa

Associate Research Director (META)

IDC

Read bio

Venue

Fairmont Hotel, Riyadh

Mecca Meeting Room

In Partnership With

Join Us for this Exclusive Roundtable

Register Now

Knowledge Hub / Dr Mazen Abduljabbar

Partner Spotlight

Dr. Mazen Abduljabbar
Country Manager – KSA
Commvault

Partner Spotlight

AI is forcing organizations to rethink resilience

Nearly four years into the GenAI revolution, many organizations have decisively moved from experimentation to operational deployment. Another sign of this market maturity is the growing emphasis on governance, ethics, security controls, and regulatory compliance, illustrated by the arrival of formalized rules.

But as is becoming increasingly clear, implementing AI is one thing; almost anyone can do that. Implementing it correctly, with the proper safeguards in place, is something else entirely, and there are some major risks to address. As was inevitable, more and more stories are emerging about what happens when organizations rely on AI outputs that later prove to be extremely damaging.

The role of ResOps

When it comes to resilience, there is now a very important question: how can organizations committed to AI define and apply a version of resilience that is fit for purpose?

Firstly, it’s important to recognize that resilience models would typically treat security and recovery as separate functions. This approach was (and still is) effective when incidents can be contained, and organizations have the time to investigate what has happened.

Identifying a problem is only part of the challenge. Organizations also need to understand where affected data has traveled and what else depends on it. Visibility into the various AI and data dependencies is becoming as important as recovery itself, because restoring systems is much harder when organizations cannot immediately determine what has been affected, unless significant.

As a result, the nature of resilience needs to change. It’s no longer good enough for it to lean towards the reactive; it needs to operate as a continuous operational discipline. In a nutshell, that is the basis for ResOps (Resilience Operations), in which data security is more closely integrated with recovery to maintain trust in operational environments over time. Recovery remains important, but it becomes part of a broader resilience process that continuously discovers, protects, monitors, and restores trusted data.

Through a ‘Resilient Operations’ approach, teams can quickly determine what has been affected and which AI workloads depend on the compromised data. The objective is not simply to recover systems but to ensure that AI continues to operate on trusted data. Given that, in many ways, AI has changed the nature of risk, resilience must follow suit if we are to avoid a situation where breaches and serious errors are to remain the exception rather than becoming the rule.

IDC, GBM & IBM Conference

IDC, GBM & IBM Conference

The Agentic Enterprise

Closing the Gap Between AI Ambition and AI Operations

Hosted By

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AI has moved from aspiration to essential infrastructure. IDC forecasts AI spending in UAE will reach USD 5.78 billion in 2029, and the enterprises that move first will capture it.

 

This conference brings together senior technology leaders from across the UAE to see what it takes to run it at scale, spanning systems, automation, and agentic AI.

 

Delegates will hear from GBM & IBM’s global leadership and get a first look at what’s next.

 

This is where the region sees AI delivered, not promised.

Discussion Areas

Systems Built to Scale AI

See what separates infrastructure that supports AI workloads from infrastructure that limits them.

Automation that Unlocks AI’s True Potential

Where automation removes the friction blocking deployment at enterprise scale.

Agentic AI, from Pilot to Production

How peer organisations are handling the governance, integration, and skills questions that decide whether it sticks.

UAE's AI Reality Check

Inside Enterprise Adoption on the Ground

Agenda

IDC, GBM & IBM Conference

Wed, Sep 9

9:30AM

Registration & Networking

10:00AM

Welcome Address By GBM

Muralidharan Rajagopalan

Muralidharan Rajagopalan

General Manager, GBM Dubai, GBM

10:10AM

Winning Enterprise AI: Scale, Trust, Sovereignty

AI is rapidly becoming the defining force behind business success. In this session, IBM shares its vision for how enterprises can thrive in the AI era. As technology emerges as the primary driver of competitive advantage, organizations are rethinking how they operate, innovate, and grow.

Shukri Eid

Shukri Eid

VP & General Manager, IBM Gulf Levant and Pakistan, IBM Gulf

10:25AM

IDC Keynote: The Agentic AI Economy in the UAE

The UAE is moving fast, but is enterprise AI keeping pace with ambition? This keynote unpacks where UAE organizations really stand on AI adoption today, the gaps between pilot and production, and what it will take to turn investment into measurable advantage. Navigate what’s next with the evidence to back it.

Melih Murat

Melih Murat

Associate Research Director, Artificial Intelligence (META), IDC

10:45AM

AI Powered Agentic Enterprise

AI has the potential to transform how enterprises operate, but success depends on a trusted foundation that unifies data, and processes across hybrid environments. In this session, discover how IBM’s open, hybrid data and AI platform enables organizations to build solid foundation for AI while leveraging data security, governance, and automation as critical enablers for trust, compliance, and resilience. Learn how enterprises can accelerate innovation, improve productivity, and deliver business outcomes in a secure, governed, and enterprise-ready fashion.

Ken Habson

Ken Habson

Regional Data and AI Business Unit Leader, IBM

11:05AM

Orchestrate, Accelerate, and Govern the Agentic Enterprise

AI is poised to redefine how enterprises operate, but scaling from pilot projects to enterprise-wide adoption remains a challenge. To unlock the full power of Agentic AI, organizations must overcome fragmented systems, streamline complex processes, and establish consistent governance across their technology landscape. With IBM watsonx Orchestrate, organizations can coordinate people, agents, and business systems across the enterprise, accelerating the journey from experimentation to execution. Learn how leading enterprises are using an open, hybrid approach to orchestrate Agentic use-cases, and govern its outcome responsibly, unlocking measurable business value at scale.

Ahmad Jishi

Ahmad Jishi

Data & AI Squad Leader, GBM

11:25AM

Networking Break

11:55AM

Scaling AI Responsibly: Integration, Visibility, and Cost Control

As organizations accelerate their AI initiatives, a strong integration foundation is essential to connect data, applications, and AI services while maintaining security, governance, and compliance. The session will also explore how AI FinOps practices are essential to provide end-to-end visibility and control over AI Infrastructure to enable enterprises to scale AI responsibly.

Ali Baydoun

Ali Baydoun

IBM Automation Portfolio Lead – Gulf, Levant & Pakistan, IBM

Anand Bhuptani

Anand Bhuptani

IBM Automation Platform Seller, IBM

12:15PM

Digital Sovereignty in the AI Era

Digital sovereignty is rapidly becoming a strategic imperative as organizations seek to accelerate AI adoption while maintaining control over their data, technology, and operations. In this session, we will discuss the key dimensions of digital sovereignty, IBM’s approach to helping organizations achieve it, and the portfolio of capabilities that support digital sovereignity. We will also examine the infrastructure options that enable organizations to meet sovereignty requirements without compromising innovation, performance, or resilience.

Ahmad Farrag

Ahmad Farrag

Chief Technology Officer, IBM (Gulf)

Hadeel Abu Ouda

Hadeel Abu Ouda

Hybrid Cloud Technical Sales Leader, IBM

12:35PM

Panel Discussion: What UAE Enterprises Need to Deliver AI at Scale

Moving from AI pilots to AI at scale takes more than technology, it takes the right talent, governance, and organizational buy-in. This panel brings together UAE enterprise leaders to debate what’s really required to scale AI successfully, and the hard trade-offs behind getting there.

Melih Murat

Melih Murat

Associate Research Director, Artificial Intelligence (META), IDC

Mohammad Abubaker

Mohammad Abubaker

UAE Country Leader, Technology Sales, IBM

Dr. Feras Al Jabi

Dr. Feras Al Jabi

General Manager, Technology, GBM

Gyan Srivastava

Gyan Srivastava

Senior Vice President, Group Head One Data & Analytics, Mashreq

1:00PM

Lunch & Networking

Speakers

Muralidharan Rajagopalan

Muralidharan Rajagopalan

General Manager, GBM Dubai

GBM

Read bio

Shukri Eid

Shukri Eid

VP & General Manager, IBM Gulf Levant and Pakistan

IBM Gulf

Read bio

Melih Murat

Melih Murat

Associate Research Director, Artificial Intelligence (META)

IDC

Read bio

Ken Habson

Ken Habson

Regional Data and AI Business Unit Leader

IBM

Read bio

Ahmad Jishi

Ahmad Jishi

Data & AI Squad Leader

GBM

Read bio

Ali Baydoun

Ali Baydoun

IBM Automation Portfolio Lead – Gulf, Levant & Pakistan

IBM

Read bio

Anand Bhuptani

Anand Bhuptani

IBM Automation Platform Seller

IBM

Read bio

Ahmad Farrag

Ahmad Farrag

Chief Technology Officer

IBM (Gulf)

Read bio

Hadeel Abu Ouda

Hadeel Abu Ouda

Hybrid Cloud Technical Sales Leader

IBM

Read bio

Mohammad Abubaker

Mohammad Abubaker

UAE Country Leader, Technology Sales

IBM

Read bio

Dr. Feras Al Jabi

Dr. Feras Al Jabi

General Manager, Technology

GBM

Read bio

Gyan Srivastava

Gyan Srivastava

Senior Vice President, Group Head One Data & Analytics

Mashreq

Read bio

Partner

Venue

Jumeirah Mina Al Salam

Majlis Al Salam Ballroom

Be Part of it!

Register Now

IDC & Diligent Webinar

IDC & Diligent Webinar

The Vendor Blind Spot

Third-Party AI Risk in the GCC

Hosted By

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AI risk is expanding beyond the walls of the enterprise and into the vendor ecosystem organizations already depend on. IDC’s GRC survey shows that third-party risk management (TPRM) is the GCC’s largest governance program, named by 51% of Saudi and UAE enterprises ahead of regulatory compliance.

 

But very few organizations run integrated AI guardrails with continuous monitoring. Most still rely on basic, siloed controls, even as AI activity within the same vendor ecosystem continues to expand.

 

IDC and Diligent are hosting an exclusive webinar for senior TPRM, risk and security leaders across the GCC to explore how to close that gap before it widens further. This curated session sets out how organizations are governing their vendors’ use of AI today, and what an AI-ready TPRM model looks like in practice.

Key Takeaways:

The AI exposure that’s growing outside the enterprise 
The fastest-growing AI risk for GCC organizations sits inside vendor and supplier systems, not internal deployments.

live AI behavior that annual reviews cannot see
Static due diligence and contract language cannot track how vendor AI changes, learns, or accesses systems after onboarding.

The sharpest fear is unauthorized autonomy, not abstract ethics.
IDC forecasts more than 1 billion AI agents in active deployment by 2029, executing roughly 217 billion actions a day.

TPRM is the fastest path to AI governance, not a new program.
Explore how to extend the vendor risk program you already run to cover continuous vendor and vendor-AI monitoring.

Agenda

IDC & Diligent Webinar

Tue, Aug 25

11:00AM

Welcome Address

11:05AM

IDC Keynote: Third-party risk is where AI Governance becomes real

Shilpi Handa

Shilpi Handa

Associate Research Director (META), IDC

11:25AM

From static due diligence to continuous vendor oversight

Jelle Groenendaal

Jelle Groenendaal

Senior Director, 3rdRisk, A Diligent Brand

11:40AM

The AI Advantage: Rethinking Third-Party Risk Management

Chlōe Dellow

Chlōe Dellow

Director – Sales, Diligent

11:55AM

Panel Discussion : What TPRM, procurement, CRO, and CISO leaders are seeing on the ground

Shilpi Handa

Shilpi Handa

Associate Research Director (META), IDC

Chlōe Dellow

Chlōe Dellow

Director – Sales, Diligent

Jelle Groenendaal

Jelle Groenendaal

Senior Director, 3rdRisk, A Diligent Brand

Dr. Shaheela Banu Abdul Majeed

Dr. Shaheela Banu Abdul Majeed

Chief Information Security Officer, Kuwait Gulf Oil Company

12:15PM

Open Discussion, Summary & Close

Speakers

Shilpi Handa

Shilpi Handa

Associate Research Director (META)

IDC

Read bio

Chlōe Dellow

Chlōe Dellow

Director – Sales

Diligent

Read bio

Jelle Groenendaal

Jelle Groenendaal

Senior Director

3rdRisk, A Diligent Brand

Read bio

Dr. Shaheela Banu Abdul Majeed

Dr. Shaheela Banu Abdul Majeed

Chief Information Security Officer

Kuwait Gulf Oil Company

Read bio

Partner

Be Part of it!

Proceedings