Name: From Artificial to Intelligent: Securing Data for AI
Start: 2024-07-22T18:00:00Z
End: 2024-07-22T18:00:13.000Z
Location: BrightTALK
Rating: 4

Cyera’s AI-powered data security platform gives companies visibility over their sensitive data, context over the risk it represents, and actionable, prioritized remediation guidance.  As a cloud-native, agentless platform, Cyera provides holistic data security coverage across SaaS, PaaS, IaaS and On-premise environments. 

Most CISOs began their DLP journey with a straightforward goal: understand where data is going and know when something’s wrong.
But over time, the data sprawled. Policies multiplied. Teams burned out. And the one question that should be simple - is our data at risk? -became the hardest to answer.

DLP is now at a critical inflection point. In this session, Francis Odum, Founder of Software Analyst Cyber Research, and Linda Park, Product Marketing Director at Cyera, will discuss how leading teams are consolidating their DLP signals into a single intelligence layer - one that unifies the controls they already own into an orchestrated system that finally works together.

You’ll walk away knowing how to:
- Use AI to reduce the noise and cost of DLP
- Make better decisions with shared data and identity context
- Identify exfiltration earlier across data at rest, in use, and in motion
- Improve the performance and outcomes of your DLP program

Analyst Insights: The New DLP Operating Model for Modern CISOs

La sécurité des données ne peut pas être laissée au hasard.

Les données sont aujourd’hui la surface d’attaque qui croît le plus rapidement, et pourtant, la majorité des organisations manquent de visibilité complète sur les risques qui se cachent dans leur environnement numérique.
Entre menaces internes, ransomwares, erreurs de configuration dans le cloud et vulnérabilités tierces, chaque angle mort peut avoir des conséquences critiques.

Dans ce webinaire, découvrez comment le Data Risk Assessment de Cyera s’appuie sur des contrôles essentiels, le DSPM Cyera, des sources OSINT et des renseignements issus du dark web pour :
- Identifier et corriger les failles en matière de posture de sécurité, de conformité et de gouvernance
- Évaluer et classifier les données sensibles dans des environnements structurés, non structurés et cloud
- Détecter les identifiants compromis et autres expositions invisibles
- Cartographier les surfaces d’attaque externes et améliorer les pratiques de cyber-hygiène
- Élaborer une feuille de route pragmatique pour améliorer durablement votre posture de sécurité

Webinaire | Identifiez les risques cachés liés à vos données avec le Data Risk Assessment de Cyera

Data security can’t be left to chance.

Data is now the fastest-growing attack surface, yet most organizations lack full visibility into the risks hidden across their digital landscape. From insider threats and ransomware to cloud misconfigurations and third-party vulnerabilities, the consequences of blind spots can be damaging.

In this webinar, discover how the Data Risk Assessment leverages critical controls, Cyera DSPM, OSINT, and dark web intelligence assets to:
- Identify and close gaps in data security posture, compliance, and governance
- Assess and classify sensitive data across structured, unstructured, and cloud environments
- Detect compromised credentials and other hidden exposures
- Map external attack surfaces and improve cyber hygiene practices
- Build a practical roadmap for continuous improvement and measurable outcomes

Webinar | Uncover Hidden Data Risks with Cyera’s Data Risk Assessment

This session shows how modern data loss prevention can work for security teams so they can finally get ahead. You’ll see how Cyera Omni DLP uses the power of orchestration to unify scattered alerts into one connected view, helping teams spot patterns and real risk faster. We’ll demonstrate how business context cuts investigation time to seconds and how AI-driven recommendations reduce the manual effort that slows programs down.

Cyera Omni DLP: Secure the AI Future, Now

Secure your enterprise AI transformation with confidence. As AI drives innovation, Cyera ensures your data stays protected - with clarity, speed, and trust.

Cyera AI Guardian: Secure the AI Future, Now

Know who accessed data. Stop who shouldn’t.
Track every touchpoint with your sensitive data. Every identity, every activity, humans and AI.

Cyera Access Trail: Secure the AI Future, Now

AI runs on data, and every leader knows it’s no longer enough to simply lock information down. The real challenge is scaling AI securely and responsibly, without treating protection and progress as opposing forces. Yet today, only 14% of security leaders report success in doing both.

In this keynote, Tamar will reveal the mindset shift forward-looking enterprises are making to thrive in the AI era. 

Expect vision, live proof, and actionable frameworks. The enterprises that embrace this shift won’t just adopt AI, they’ll define its future.

Secure the AI Future, Now.

Continuing last year’s discussion on Materiality and Incident Response, Chris Hetner will lead a discussion that expands the conversation to examine how the White House administration is shaping the future of AI adoption. With initiatives designed to remove regulatory obstacles, invest in domestic AI infrastructure, accelerate workforce upskilling, and promote AI use across both public and private sectors, organizations are facing new opportunities - and new risks. This session will explore how these policy shifts intersect with enterprise security and governance, and what it means for leaders seeking to harness AI responsibly while maintaining resilience, trust, and long-term business value.

From Materiality to Momentum: AI Policy, Security, and the Future of Enterprise Trust

Organizations are challenged not only to harness the power of AI but also to ensure their data is properly governed, managed, and secured across increasingly complex environments. This session explores how to break down silos and fuse data governance, data management, and data security into a unified strategy. Through live audience polling, participants will share perspectives on their biggest challenges and priorities, creating a dynamic conversation that benchmarks experiences across industries.

Fusing Data Governance, Data Management, & Data Security in an AI World

Join the Cloud Security Alliance (CSA) and the Chair of the DataSecAI Conference to explore the newly released Capabilities-Based Risk Assessment (CBRA). This adaptive framework evaluates enterprise AI risks through four dimensions - System Criticality, AI Autonomy, Access Permissions, and Blast Radius—to generate a composite risk score. With CBRA, organizations can scale AI responsibly while maintaining compliance, data protection, and trust.

Establishing a Risk Based Approach for Assessing Vendor AI Risk

Artificial intelligence is transforming the speed and scale of decision-making—but velocity without security puts everything at risk. In this interactive session, we'll explore how to design responsible AI systems that safeguard what matters most: our data and our people. Sol Rashidi, best-selling author and Cyera’s Chief Strategy Officer for Data and AI, will lead a dynamic discussion on why security must be the foundation of every AI initiative. Learn how embedding security at the core not only strengthens trust and protects human capital, but also empowers organizations to make smarter, faster, and more ethical decisions—without compromising integrity.

Decision-Making in the Age of AI: Security at the Core

Organizations face mountains of information often governed by linear assumptions that mask complexity. To advance, they must diagnose data at the element level - its sensitivity, usage, and ownership. Join this session to hear first-hand how Oscar Health is building a foundation for effective security and strategic value that safeguards assets, improves decisions, and empowers innovation in a data-driven world.

Diagnosing Data at Scale: Enabling Security, Insight, and Innovation

AI runs on data, and every leader knows it’s no longer enough to simply lock information down. The real challenge is scaling AI securely and responsibly, without treating protection and progress as opposing forces. Yet today, only 14% of security leaders report success in doing both.

In this keynote, the Cyera team will reveal the mindset shift forward-looking enterprises are making to thrive in the AI era. 
You’ll learn how to:

- Unify data, access, and motion into one foundation
- Command AI agents with true visibility and control
- Let AI defend AI through intelligent assistance
- Make security everyone’s mission, across every team

Expect vision, live proof, and actionable frameworks. The enterprises that embrace this shift won’t just adopt AI, they’ll define its future.

The Cyera Keynote: Secure the AI Future, Now [Full]

Agentic AI is reshaping how the world must look at security. In this keynote, Jason Clark will explore why legacy security models fail in the AI era, and reveal the mindset shift leaders must embrace to thrive. From the explosion of agentic AI and shadow tools to the convergence of data and access into a single “security brain,” they’ll show how enterprises can gain visibility, orchestrate across ecosystems, and build a foundation that secures trust at scale. Attendees will leave with vision, live examples, and a clear path toward defining the AI future.

Rethinking Security in the Age of Agentic AI

DataSecAI Conference brings progressive Cybersecurity, Data Governance, and Business Technology teams together so they can supercharge building their AI security program.

The Power of Vision: Welcome to DataSecAI Conference

The rise of generative AI, new compliance requirements, and rapid data growth are transforming the security landscape. CISOs need to balance innovation with control, while practitioners focus on reducing noise and addressing real risks.

In this webinar, Cyera experts and industry leaders will share practical strategies to help organizations strengthen governance, compliance, and data protection. Together, we’’ll explore how to:

- Understand and manage the risks introduced by GenAI adoption while unlocking its opportunities.
- Align governance and compliance demands with both organizational strategy and daily operations.
- Strengthen discovery, classification, and response foundations to accelerate decision-making.
- Reduce inefficiencies in DLP and related tools to surface genuine signals from the noise.

Join us to gain both strategic vision and tactical guidance that will help your organization cut through complexity, stay compliant, and build adaptive defenses for the future.

Navigating the Dataverse: Strategies and Leadership for AI, Compliance, and Data Protection at Scale

The rise of Generative AI is transforming how organizations create, share, and use data but it's also redefining the boundaries of data risk. Sensitive information is moving faster and further than ever before, introducing new challenges for governance, compliance, and security operations.

Join Michael Ferguson, Cyera Principal Data Security Services Architect, for a deep dive into how organizations can stay ahead of these shifts. We will unpack the realities of managing the risks introduced by GenAI adoption, and show how forward-thinking security teams are aligning governance and compliance frameworks with everyday business operations without slowing innovation.
We'll also explore how to reduce DLP inefficiencies by cutting through alert noise to reveal the real signals that matter, helping teams make faster, smarter decisions about their most critical data.

Equip your organization to embrace innovation securely. Learn how modern data security approaches can turn the challenges of GenAI into opportunities for smarter protection, greater visibility, and lasting trust.

What You'll Learn
1. Identify where GenAI amplifies data exposure and how to mitigate those risks
2. Operationalize governance and compliance to fit seamlessly into data security workflows
3. Transform noisy DLP alerts into actionable insights with contextual intelligence

Securing Data in the GenAI Era: From Governance to Real Risk Reduction

Organizations are under pressure to embrace generative AI while ensuring sensitive data remains protected and compliant with evolving regulations. Cyera’s AI-Native Data Security Platform empowers teams with deep visibility into where data lives, who can access it, and what safeguards are needed—before any AI model or system interacts with that data.



In this session, discover how to secure your data and accelerate your AI initiatives on AWS. Learn how Cyera helps you apply consistent policy controls across services like Amazon Bedrock and Amazon SageMaker, minimize risk exposure, automate data protection, and enforce least privilege—so you can innovate with speed and confidence.



Learn how to:

Protect critical data and maintain compliance as you migrate workloads to the cloud.
Speed up discovery, classification, and contextualization of sensitive data across your environments.
Control and monitor generative AI access to prevent exposure of sensitive data
Enforce least privilege and prevent internal users from accessing restricted data through AI interfaces.

Generative AI Security - AWS: The Most Secure Cloud For AI

It’s been over a year since GenAI hit the market, and Gartner has estimated that only 10% of generative AI solutions have made it to production. Such roadblocks range from difficulty testing to poor observability, to knowing which LLM is the best to use to the development and management process presenting new challenges for time-crunched data science teams. 

Join VP of Field CTOs Lisa Aguilar, and Jess Lin Lead GenAI Data Scientist, as they explore the two biggest decisions facing aspiring AI teams: how to choose the right LLM and how to compare and optimize GenAI performance. She’ll share:

-How to evaluate commercial versus open-source models
-How to balance cost, performance, and risk management factors
-How to benchmark your GenAI experiments against performance and quality metrics
-How to build effective (and sustainable) intervention and moderation strategies
 
Attendees will also see the real-world impact of AI with a behind-the-scenes look at digital consultancy for sustainable growth BSI and how they reduced model development time by 67%.

Choosing the Right LLM and Optimizing GenAI Performance

Join hosts Kevin Oliviera and Todd Bursch in Get Visibility and Control of Data a presentation on safeguarding generative AI transformation by ensuring visibility and control of data to prevent data leaks and breaches. As the benefits of AI become more undeniable, AI-based productivity gains face challenges in the form of risks to data privacy. Attendees learn to prevent risks before they occur with mindful AI transformation and the proper tools for the job such as AI Mesh. 

Forcepoint’s Senior Product Marketing Manager, Kevin Oliveira and Global Solutions Architect, Todd Bursch explore: 

• Security solution Data Security Posture Management with AI Mesh and how it revolutionizes data Visibility and Control
• Review of data sources and connectors, including SharePoint, Azure and Google services
• Use of content detectors and compliance templates
• Pre-built and custom dashboards, including for: GenAI; ransomware exposure;
• Redundant, Outdated and Trivial (ROT) data; and high-risk users
• A description of how DSPM with AI Mesh provides proactive security for GenAI applications

Discover how to support and security for AI transformation supports proactive protection for companies to take control of their own policies and compliance without administering a ‘one-size-fits-all' method.

Get Visibility and Control of Data

CISOs face a myriad of challenges, including the impact of generative AI (GenAI). Join our webinar for an in-depth exploration of the pivotal intersection of cybersecurity and GenAI. As technology rapidly evolves, organizations worldwide confront escalating security threats, emphasizing the critical need for proactive cybersecurity measures. Explore strategies for strengthening cybersecurity programs in today’s dynamic landscape.

In this webinar you will gain insight into:

• Understanding GenAI Threats: Delve into deepfake technology risks and impacts on security and trust, exploring how it challenges organizational defenses.
• Defense Strategies: Master advanced techniques for detecting and mitigating deepfake threats, leveraging AI-driven anomaly detection and robust authentication methods.
• Practical AI Applications: Harness AI defensively and offensively to strengthen cybersecurity resilience and proactively counter emerging threats.

In this webinar, you will gain a deep understanding of the evolving threats posed by Generative AI, along with innovative strategies to strengthen your organization’s cybersecurity defenses. Don’t miss this chance to acquire practical knowledge and actionable insights that can safeguard your organization against emerging AI-driven threats. Join us to stay ahead in the dynamic landscape of cybersecurity.

Understanding Generative AI's Impact on Cybersecurity: Insights for CISOs

Enterprise Strategy Group Principal Analyst, Networking, Jim Frey, Presents: 

The scope of Generative’s AI impact is immense, touching every part of IT – even networking. GenAI and automation are fast becoming essential for infrastructure teams to build and operate the agile networks needed to meet the complex, hybrid connectivity needs of AI-enabled business. This session will reveal the ways in which GenAI and other forms of AI and automation are being applied across the networking lifecycle, highlighting where true progress is being made and where promises are still ahead of reality.

The Progress of GenAI in the Networking Lifecycle

Want to get started with Generative AI to build a chatbot that can answer questions based on your company’s data and documents but not sure where to start? This session is for you.

Patrick Masi-Phelps, Principal Sales Engineer at Dataiku, and Carsten Weidmann, Senior Partner Sales Engineer at Snowflake, will walk you through how to use retrieval augmented generation (RAG) to create a chatbot.

To explore more about Dataiku, check out the rest of our content:

CHECK OUT DATAIKU: https://bit.ly/36XBlpK
AI&Us: https://www.dataiku.com/stories/ai-and-us/
ROAI: https://www.dataiku.com/return-on-ai/ 

Linkedin: https://bit.ly/3lXyRMb
Twitter: @dataiku
Instagram: @dataiku

Build a Generative AI Chatbot With Dataiku and Snowflake

GenerativeAI is the mandate of the day - but what are its applications ‘beyond the hypewave’? How should enterprise and large-scale content aggregators and producers refactor their workflows to not just cope with the avalanche of raw data and content throughout their organization - but integrate new AI/ML workflows efficiently and thoughtfully to turn raw data and content into a valuable resource?

In this session, we’ll highlight uses of GenAI in various fields, discuss why almost every operation and enterprise can learn from the leading continuous content producers, then discuss what’s beyond ‘naive’ GenAI in the field of using AI/ML to draw out insights and meaning from raw rich media content, and even teach your AI highly specialized recognition tasks that can dramatically boost your organization’s productivity and efficiency.

'Workflow Thinking’ for GenAI and Rich Media Enhancement

Enterprise Strategy Group Principal Analyst, Data Analytics & AI, Mike Leone Presents: 

The meteoric rise of generative AI has sparked a surge of AI challenges that organizations must overcome to ensure greater levels of trust in the underlying technology and its outputs. Recent Enterprise Strategy Research highlights that while 78% of people are using generative AI for personal use like boosting productivity or improving efficiency, just 36% of organizations have policies in place to limit usage. The lack of organizational action to minimize issues like potential biases, legal liability, unknowingly sharing intellectual property, and more is leading organizations down a path of potential disaster. Uncover the potential shortcomings and challenges organizations face, as well as issues already encountered due to a lack of action being taken by business teams.

Evaluating the Pillars of Responsible AI

Business in 2024 calls for a shift in the ITSM landscape, with the mainstream role of Artificial Intelligence (AI) in transforming workplaces. AI and its cutting-edge fact, generative AI bring to the forefront the importance of enhancing employee experiences, and ways to achieve it. It is also important for IT leaders to choose the right AI tools to avoid unnecessary tech spends while balancing organizational efficiency and productivity.

Join us for an in-depth discussion on the promise AI holds in ITSM, especially in transforming employee experiences, its challenges and how Freshworks is at the forefront of this AI revolution.

Here’s what you can expect to learn::

● The power of AI in enhancing employee experiences
● Facets of AI, with a special focus on generative AI
● Challenges in implementing generative AI
● Freshworks at the forefront of the AI revolution and its role in enhancing employee experiences through Freshservice and Freddy AI
● Best practices in implementing generative AI

Leveraging AI in the Evolving and Transformative ITSM Landscape

Predictive insights are the lifeblood of today’s business. Imagine that your product team is coming up with new features, your operations team is investigating supply chain issues, and your marketing team is developing 360-degree profiles of customers. What do these scenarios have in common? For a modern business operating in today’s dynamic environment, all three are powered by predictive analytics.

Increasingly, artificial intelligence and machine learning technology (AI/ML) is enabling high-value predictions that lay the groundwork for better decision-making. Advanced analytics, including generative AI, hold the power to sharpen your company’s competitive edge, drive operational efficiencies, and maximize growth.  

With generative AI, data scientists can more easily make sense of ever-growing datasets. They can automate tedious tasks like filtering and parsing huge volumes of data to quickly extract meaningful information.  

Join us to learn how leaders are overcoming the common pitfalls around AI workflows, how Teradata and Amazon Web Services (AWS) are penetrating barriers to predictive analytics, and how data scientists can scale analytics leveraging an integrated AI toolset.

Unleash AI Innovation Across the Enterprise with Teradata and AWS

How can AI change a Security Analyst's workflow? Ashish, CISO & Host of AI CyberSecurity Podcast, and Caleb Sima, Chair of CSA AI Security Alliance & Co-Host of AI Cybersecurity Podcast, catch up with Ely Kahn, VP of Product at SentinelOne, to discuss the revolutionary impact of generative AI on cybersecurity. Ely will speak about the challenges and solutions in integrating AI into cybersecurity operations, highlighting how to simplify complex processes and empower junior to mid-tier analysts.

How AI Can Be Used in Cybersecurity Operations

Enterprise Strategy Group Principal Analyst Dave Gruber Presents: 

Security professionals claim that increasing security operations difficulty is driven by the sophisticated and evolving threat landscape, a growing attack surface, and a rising volume of security alerts. Trained large language models (LLMs) and generative AI have the potential to help cybersecurity teams analyze and prioritize decisions in each of these areas, mitigating cyber-risk. Uncover how organizations are using AI technologies today and whether these technologies have met expectations.

Securing GenAI Within Your Organization, While Gaining Leverage Using It

With the ever-changing landscape of emerging technologies and rising employee expectations, how do you balance continuously elevating service experiences with optimizing costs and future-proofing?

As IT teams across the globe are tasked with the challenge of doing more with less, GenAI has emerged as the undeniable force multiplier --- but not without its share of skepticism and concerns. Join Freshworks to delve deeper into GenAI’s potential, misconceptions, and the strategic vision required to build higher-performing teams.

Evolve IT Services with GenAI for Exceptional Employee Experiences

GenAI is revolutionizing industries by creating innovative solutions that transform how we interact with technology. However, as with any powerful tool, GenAI introduces unique risks and vulnerabilities that need robust security measures.

Join us for an insightful webinar where John Tierney, Field CTO at Legit Security, will delve into the intricacies of securing Generative AI. This session will provide critical insights into the market importance of GenAI, practical use cases, inherent risks, and strategies to safeguard your AI initiatives.

Securing Generative AI & Preventing Vulnerabilities with Legit Security

The current IT and service operations landscape is desperate for change: High-touch integrations have plagued traditional event-management with varied results. Systems are rigidly rules-based, difficult, and expensive to maintain. ITOps & incident management teams are burnt out. Adoption of new, innovative tech is daunting, if not impossible. 

Generative AI is not a silver bullet, but it can alleviate these challenges when deployed with the right technology that delivers context for a clear view of every incident and a clear framework that breaks down silos between teams, tools, and workflows.

Join BigPanda as they discuss:

- Benefits of full-context operations for both ITOps and incident management teams
- How AI delivers incident context to drive business outcomes
- A practical approach to getting started with AI-powered tools

AIOps 101: Using Gen AI to Deliver Context & Remediate Faster

Enterprise Strategy Group Senior Analyst, Data Protection, Ops & Sustainability, Jon Brown Presents: 

Generative AI is rapidly transforming technology and business strategies. According to recent Enterprise Strategy Group research, 85% of organizations are actively using, planning to use, or considering generative AI across many of their functional areas, including IT operations. This session will explore current use cases for generative AI in IT operations, how AI is impacting the selection and use of IT operations tools, customer sentiment about desired outcomes and expected challenges related to AI adoption, key stakeholders influencing purchasing decisions, functional requirements, business and technology drivers, tool consolidation plans, and more.

The Impact of GenAI in IT Operations

GenAI is the gamechanger that can transform work across your organisation, but AI is only as powerful as the platform it’s built on. 

When you marry GenAI capabilities with a powerful workflow automation platform, every employee in your organisation is empowered to do more, do it faster and create what they couldn't before. Working smarter has never been easier.

Join our team of experts to discover what ServiceNow’s Now Assist with GenAI can do for your employees, customers, agents, and developers. Learn how GenAI

• can gather the full body of case information that IT agents and operators need to promptly resolve IT issues. 
• can automate and expedite building tasks for developers and empower citizen developers to do more than they can imagine. 

Increase productivity, transform experiences, and accelerate agility on the Now Platform. 

Featured speakers: 
• Peter Doherty – Sales Director, Sales Operations, ServiceNow
• Doug Alcock – Senior Solution Sales Executive, Creator Workflows, ServiceNow
• Sylvain Hauser – Solution Consultant, Creator Workflows, ServiceNow


Resources:

Unlocking strategic business advantages with Generative AI
https://www.servicenow.com/now-platform/generative-ai.html

Put AI to work with Now Assist

Enterprise Strategy Group: GenAI Summit​

Artificial Intelligence (AI) holds tremendous potential for innovation, but without high-quality data, AI is just... artificial. This webinar explores current AI trends, their impact on data security, and how to protect sensitive information in an AI-driven world. We will discuss the critical importance of discovering, monitoring, and safeguarding data to leverage AI effectively, including the growing use of AI copilots in the workplace.

Learn how today’s leading organizations secure their data and ensure the safe use of AI, enabling CISOs and CDOs to confidently support new AI-driven initiatives. Attend to learn about the:
- Risks of over-privileged data access for AI copilots and data access
- Security implications of feeding data into Large Language Models (LLMs)
- Dynamic discovery and protection of data for the safe use of AI

From Artificial to Intelligent: Securing Data for AI

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From Artificial to Intelligent: Securing Data for AI

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Cyera