DataAI Security Talks: A Complete Series for Security Leaders

Beyond the hype: Accelerating Enterprise AI with Secure Data

AI success isn’t built on hype. It’s built on a foundation of secure, resilient data. Leading analysts and Veeam experts show security leaders how to build the security layer that accelerates safe enterprise AI at scale.

Securiti DataAI Command Platform

The business is deploying AI Everywhere. Regulators want evidence of continuous control. Security teams must scale efforts quickly to meet these competing demands.

This webinar series is built for that reality. Grounded in independent analyst research, lessons from real deployments, and featuring live product demonstrations tied to each session. Clear, practical strategies you can act on now.

Featured Voices

Analysts and Leaders Shaping the Conversation

AI security is moving so fast it’s hard to separate signal from noise, and too fast for any single vantage point. This series brings together the people with the clearest view of what the technology can actually do, why the market is moving the way it is, how it plays out in real deployments, and what’s next.

Paul Stringfellow

Paul Stringfellow

Analyst, GigaOm

The analyst behind the 2026 GigaOm DSPM Radar. Paul is a deeply technical evaluator with 25+ years of hands-on experience and a sharp perspective on how data security technologies actually deliver value.

Jennifer Glenn

Jennifer Glenn

Research Director, IDC

Leads IDC’s information and data security practice, with a deep read on where this market is heading and the forces driving it.

Todd Thiemann

Todd Thiemann

Principal Analyst, Omdia

Data security and identity analyst with two decades in the industry at Trend Micro, Vormetric, and Arctic Wolf. Todd’s research is grounded in how security actually operates in practice.

Rehan Jalil

Rehan Jalil

President, Products & Technology, Veeam

The founder of Securiti.ai and current President of Products & Technology at Veeam. Rehan is the visionary product leader behind the DataAI Command Graph.

The Sessions

A Complete Series

Four conversations with industry leaders, each paired with a democast that puts DataAI security concepts in real-world scenarios. First hear where the DataAI Security market is going from the people with their finger on the pulse. Then, watch those ideas come to life with a real-world scenario, shown live in the product.

Attend all four democasts to earn the series certificate*
Webinar Session
OCT 15
Register

Finding Toxic Combinations of Data, AI, Identity and Access Risks

See a toxic combination of data, identity, and AI use that disparate tools cannot see be identified by graph technology — and watch as it is resolved before data is exposed.

Webinar Session
Nov 05
—
11 AM PST2 PM EST
Register

The Missing Piece in AI Security: Omdia Research on Why DSPM Needs Data Resilience

Omdia research makes the case for integrated security and resilience — why proactively remediating data risks and recovering data from agentic threats and mistakes when something goes wrong are two halves of one strategic capability.

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Every agent, copilot, and model in your enterprise interacts with one shared resource: your data — the input, the output, and the thing at stake when something goes wrong. Securing it across its entire lifecycle, from discovery and classification through AI consumption to recovery, is the basis of Data & AI trust. That means data security and data resilience can no longer live as separate programs: integrated, they are what lets an organization trust its data — and its AI — at scale.

Hosted by Todd Vancil, VP Systems Engineering, and Chris Joynt, Director of Product Marketing for AI Security Solutions at Veeam, Todd Thiemann of Omdia Research presents new findings on where organizations struggle to bridge Data & AI trust gaps — and, drawing on real deployments, what an integrated approach looks like in practice: accelerating AI with data that is secure, compliant, and recoverable.

Join this session to learn

  • Where real-world deployments struggle to bridge Data & AI trust gaps — and how leaders close them
  • Why data is the one resource every agent shares — and why lifecycle security is the basis of Data & AI trust
  • How integrating data security and data resilience turns two programs into one strategic capability
  • What a unified, lifecycle approach looks like in practice, and how to build it
Todd Thiemann, Principal Analyst, Omdia
DEMOCAST | NOV 19 Register

Detect, Protect & Undo AI Data Risks

Follow one end-to-end AI data security workflow — from risk detection to remediation to recovery — with security and resilience operating as a unified AI data protection layer.

Series Finale
Dec 15
—
11 AM PST2 PM EST
Register

2027 DataAI Security Predictions: What’s Next in the Agentic Era

Veeam’s Rehan Jalil on where DataAI security is headed in 2027, and the moves to make now to stay ahead of it.

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The data and AI security landscape is moving faster than any planning cycle. Agent capabilities that didn’t exist a year ago are now in production. Regulations are being drafted around technology still taking shape. The vendor market is consolidating quarter by quarter. For security leaders, the challenge isn’t reacting to each change — it’s seeing far enough ahead to plan for what’s coming.

Rehan Jalil, Veeam President of Products and Technology, closes the series with a grounded look at where data and AI security is headed in 2027: the shifts that will actually matter, the ones that won’t, and the practical moves forward-thinking leaders can make now to stay ahead of both. He’ll draw the threads of the series together — the data foundation, the agent-era risk model, the integration of security and resilience — into a clear-eyed view of the year ahead.

Join this session to learn

  • Where data and AI security is headed in 2027 — and which of today’s trends will matter most
  • How agentic AI will reshape the security operating model, budgets, and the vendor landscape
  • Where regulation and AI governance are going — and how to get ahead of both
  • The practical moves to make now so your 2027 plan stays ahead of the landscape
Rehan Jalil, President, Products & Technology, Veeam

* Certificates may be eligible for CPE self-reporting with ISACA and ISC2.

Independent Recognition

Recognized by Leading Industry Analysts

Independent analyst assessments of the technology behind the series.

Software Analyst Cyber Research

Software Analyst Cyber Research

Ranked among only five innovators for unified platforms by SACR

Frost & Sullivan

Frost & Sullivan

Named most innovative Data Security Platform leader by Frost & Sullivan

GigaOm

GigaOm

Recognized as a top DSPM vendor three years running in the GigaOm DSPM Radar

Register once. Join all sessions.

Join live to put your questions to the analysts, or catch every session on demand. Either way, you’ll leave with strategies you can put to work the same week.

  • A clear-eyed view of which AI security capabilities drive real value and which are noise.
  • Why secure data is the foundation of every successful AI initiative, and the first moves to build it.
  • How risk actually emerges at the intersection of data, identity, and AI use.
  • Lessons from real deployments on making data security and resilience one capability.
  • The trends and predictions that should shape next year’s planning.

Save your seat for all sessions in one registration.

Sessions to register for:

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Register once. Join all four. Starts Oct 01.

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Videos
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Rehan Jalil, Veeam on Agent Commander : theCUBE + NYSE Wired: Cyber Security Leaders
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Mitigating OWASP Top 10 for LLM Applications 2025
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Top 6 DSPM Use Cases
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Colorado Privacy Act (CPA)
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Securiti for Copilot in SaaS
Accelerate Copilot Adoption Securely & Confidently Organizations are eager to adopt Microsoft 365 Copilot for increased productivity and efficiency. However, security concerns like data...
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Top 10 Considerations for Safely Using Unstructured Data with GenAI
A staggering 90% of an organization's data is unstructured. This data is rapidly being used to fuel GenAI applications like chatbots and AI search....
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Gencore AI: Building Safe, Enterprise-grade AI Systems in Minutes
As enterprises adopt generative AI, data and AI teams face numerous hurdles: securely connecting unstructured and structured data sources, maintaining proper controls and governance,...
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Navigating CPRA: Key Insights for Businesses
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Navigating the Shift: Transitioning to PCI DSS v4.0
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Securing Data+AI : Playbook for Trust, Risk, and Security Management (TRiSM)
AI's growing security risks have 48% of global CISOs alarmed. Join this keynote to learn about a practical playbook for enabling AI Trust, Risk,...

Spotlight Talks

Spotlight 59:11
Data Controls for AI: Findings from the 2026 GigaOm DSPM Research
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Spotlight 1:02:06
Consent by proxy: When AI agents start deciding for us
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Spotlight 1:00:41
Future-Proofing for the Privacy Professional
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Spotlight 50:52
From Data to Deployment: Safeguarding Enterprise AI with Security and Governance
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Spotlight 11:29
Not Hype — Dye & Durham’s Analytics Head Shows What AI at Work Really Looks Like
Not Hype — Dye & Durham’s Analytics Head Shows What AI at Work Really Looks Like
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Spotlight 11:18
Rewiring Real Estate Finance — How Walker & Dunlop Is Giving Its $135B Portfolio a Data-First Refresh
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Spotlight
Choosing the Right DSPM: An Industry Analyst’s Perspective
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Spotlight 13:38
Accelerating Miracles — How Sanofi is Embedding AI to Significantly Reduce Drug Development Timelines
Sanofi Thumbnail
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Spotlight 10:35
There’s Been a Material Shift in the Data Center of Gravity
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Spotlight 14:21
AI Governance Is Much More than Technology Risk Mitigation
AI Governance Is Much More than Technology Risk Mitigation
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The Context Layer for Data+AI Security View More
The Context Layer for Data+AI Security
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The Toxic Combination Problem in DataAI Risks
Discover how siloed security alerts create hidden toxic risk combinations and how correlated context helps reduce alert fatigue and uncover compound risks faster.
The Cloud Storage Bill Nobody Reads View More
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Hidden cloud storage costs add up fast. Learn how redundant, obsolete, and trivial data drives unnecessary spend, expands risk, and why automated data minimization...
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Take the Data Risk Out of AI
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Navigating HITRUST: A Guide to Certification
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