Name: Understanding the State of Enterprise Open-Source AI & Adoption Challenges
Start: 2025-06-04T18:00:00Z
End: 2025-06-04T18:00:37.000Z
Location: BrightTALK
Rating: 4.8

With more than 35 million users, Anaconda is the world’s most popular data science platform and the foundation of modern machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open-source for competitive advantage, groundbreaking research, and a better world.

Financial institutions face an unprecedented challenge: deploying AI at startup speed while
maintaining bank-grade security and regulatory compliance. The native integration between
Anaconda and Databricks is designed to address the trade-off between innovation velocity and
enterprise security. Join Databricks, Anaconda, and ESG as we review the current state of AI
deployment in financial services and share examples of the challenges and how this unified
platform scales from secure development environments to enterprise production, enabling
financial services to innovate quickly and confidently without compromising regulatory
standards.

From Pilot to Production: AI Governance Strategies for Financial Services

While enterprise AI offers tremendous potential for organizations, implementation challenges include rapid technological evolution and governance concerns that undermine innovation confidence. This session focuses specifically on AI governance and security, featuring Anaconda's practical advice and best practices for establishing trust controls over AI models and procedures to help organizations succeed with their enterprise AI initiatives.

Practical Open Source AI: Moving Fast Without Breaking Things

Enterprise AI projects are failing at alarming rates. Despite massive investments, most organizations struggle to move from proof-of-concept to production-scale success.

The problem isn’t the technology—it’s the approach.

Join Forrester Principal Analyst Mike Gualtieri, Forrester Senior Consultant, Luca Son, and Anaconda Field CTO Steve Croce as they reveal why some enterprises are thriving with AI while others remain stuck. You’ll discover the real barriers blocking AI success and the practical strategies that are delivering measurable results.

Key Takeaways:
The 3 critical mistakes that doom AI projects before they start
How to balance innovation speed with enterprise security requirements
The unified platform approach that eliminates AI toolchain fragmentation
Why curated open source beats DIY for production-ready AI at scale
 

Whether you’re a data leader frustrated by slow progress, an IT executive balancing innovation with security, or a business leader demanding AI results, this session provides the clarity you need to move forward with confidence.

Making Enterprise AI Work

Register to access this free on-demand webinar for an exclusive look at the latest enhancements to the Anaconda AI Platform—the only unified platform designed to streamline AI development with open source. In this session, Saundra Monroe will demonstrate how our unified platform empowers technical teams to accelerate innovation, reduce operational costs, and gain competitive advantage—all while maintaining enterprise-grade security and compliance.

Discover how the Anaconda AI Platform now delivers:

3X more compatible artifacts to launch AI initiatives faster
Simplified enterprise adoption with guided onboarding and smarter navigation
Curated environments tailored to specific use cases and industries
Comprehensive security and governance across your entire AI development lifecycle

Accelerate Innovation with the Anaconda AI Platform

The growth of open-source AI in the enterprise has been nothing short of phenomenal. Enterprise Strategy Group (ESG) research found that 99% of organizations are actively using, exploring or experimenting with AI in their environments.

As organizations accelerate their AI initiatives, the adoption of open-source tools has become essential. But there isn’t a commonly known playbook for how to leverage open-source AI, and rapid changes in AI models, tools, and frameworks means there is currently a steep learning curve. 

In this exclusive webinar, open-source visionary and co-founder of Anaconda, Peter Wang, shares insights about the growth and challenges of the open-source AI phenomena with Mark Beccue, ESG Principal Analyst. Tune in as the pair unpack:
• How open-source tools provide unparalleled flexibility, cost-effectiveness and access to cutting-edge tech
• Best practices for operationalizing AI with open-source tools
• How to overcome the AI readiness gap 
• Where & how Anaconda assists customers in their AI journeys

Understanding the State of Enterprise Open-Source AI & Adoption Challenges

Are you ready to revolutionize your data analysis workflow? Join us for an insightful webinar where we’ll explore how to streamline your analytical tasks using Snowflake Notebooks and Anaconda packages. Whether you’re a data scientist, analyst, or engineer, this session will equip you with the tools and techniques to automate repetitive processes, increase productivity, and gain deeper insights faster.

Automate Your Analysis Tasks with Snowflake Notebooks & Anaconda Packages

Join this webinar for an introduction to Python in Excel including taking your first steps, understanding data types and output modes. A brief introduction to Pandas DataFrames, custom functions and a simplified Python charting experience using the Anaconda Toolbox for Excel.

Introduction to Python in Excel

Experience our exclusive 2025 AI Predictions Webinar where top experts from Anaconda and the industry explore the trends, innovations, and opportunities shaping the future of AI.

What You'll Learn:
AI Agents: How autonomous agents will drive automation and business operations
AI Trends for 2025: What cutting-edge advancements to prepare for
Real-World Applications: How organizations are turning AI insights into action
Practical Advice: How businesses can align their AI strategy for the coming year

Moderator: Kodie Dower, Sr. Marketing Communications Manager, Anaconda

Panelists:
Peter Wang, CAIO, Anaconda
Greg Jennings, Head of Engineering - AI, Anaconda
Priyanka Kulkarni, founder and CEO of Casium

2025 AI Predictions: Uncover the Future of AI with Industry Experts

Join us for an insightful fireside chat as we peer into the future of artificial intelligence (AI) in 2024. In this dynamic session, industry experts will share their predictions and unveil the vast opportunities ahead in the rapidly evolving landscape of AI. Our speakers will delve into key areas shaping the AI ecosystem, exploring recent advancements in machine learning, large language models (LLMs), and beyond. Studying transformative breakthroughs to emerging trends, we will analyze the forces propelling AI innovation and their potential impact on industries ranging from healthcare and finance to manufacturing and entertainment.

In this webinar, you will learn:

What could be next, after this year’s explosive growth of large language models (LLMs)
Strategic considerations for organizations and data professionals navigating the AI landscape in 2024
How open-source AI and closed-source AI will compete in the coming year and the potential outcomes of the race to build marketable AI systems

AI in 2024: Unveiling Predictions and Seizing Opportunities

MLOps offers ways to optimize processes, automate workflows, detect anomalies, reduce costs, and improve business outcomes. However, implementing and applying these techniques can be a large and complex effort. In this webinar, we’ll explore how to successfully implement MLOps across the enterprise using data science platforms to achieve different business goals, like deployment and automation, reproducibility and scalability, diagnostics, governance and compliance, collaboration, and monitoring.

Speaker: 
Chris Styduhar is the Director of Enterprise Products at Anaconda. With a background in software engineering, machine learning, and enterprise technology solutions, Chris manages the development of Anaconda’s Data Science Platform, including MLOps and AI features that help data scientists build, collaborate, and deploy more effectively.

Data Science in the Enterprise: Leveraging MLOps in the Enterprise

Open-source software (OSS) is at the heart of many of the innovations in machine learning (ML) due to its accessibility, flexibility, and active community support. As a result, many enterprise organizations are adopting or seeking to adopt OSS into their operations, product development, and marketable solutions. However, as with any software, OSS is not immune to vulnerabilities and requires an actively managed governance program.

In this webinar, we describe some of the major advantages of open-source software, along with common risks. We also describe key features of an effective OSS governance program with a focus on challenges for enterprise in the areas of software supply-chain security, license management, and support.

Building an OSS Governance Program for ML in the Enterprise

As data continues to grow at an exponential rate, businesses must find ways to leverage it for competitive advantage.

In today's fast-paced environment, organizations need a solution that provides the resources, horsepower and scalability needed to create and execute complex, powerful AI / ML solutions.

An enterprise data science platform is the solution to enable organizations to efficiently manage their data and transform it into actionable insights. 

Join Anaconda's Director of Enterprise Product, Chris Styduhar, on Thursday, June 8 to learn:

The most compelling use cases for your data

Why your organization could benefit from a full-featured Data Science Platform

The unique capabilities provided by Anaconda's Data Science Platform and Enterprise products

Why You Need a Data Science Platform

Recent events have highlighted the importance of software supply chain trustworthiness and security.

In this session, we discuss the content trust features in conda and the Anaconda Professional Repository. We’ll describe the design of conda's package signature verification functionality and its trust architecture, and identify the threats they protect against. Finally, we’ll highlight what’s next for Anaconda content trust as we continue to work to better secure the conda package ecosystem.

How Conda Signature Verification Secures Your Software Pipeline from the Start

AI techniques like machine learning (ML) and deep learning (DL) offer new ways to optimize processes, automate workflows, detect anomalies, and reduce costs in manufacturing industries, with a potential value estimated at $2 trillion. However, these techniques can be tricky to implement and apply, with many potential pitfalls for the unwary.

In this webinar, we’ll explore some use cases for AI in manufacturing and highlight what data science and machine learning practitioners need to consider when applying AI to this field.

Data-Driven Manufacturing: AI, ML, and Data Science

The innovation, community, and agility of open source software are unmatched, but Python ecosystems are not without risk. Security vulnerabilities are a reality in open-source code just as they are with proprietary software. It's a high-stakes game that depends on the robustness of your supply chain security. Scanning for security vulnerabilities is not enough; you must trust where your open-source software packages, libraries, and databases originate. We’re here to help.


In this webinar, you will learn:

Where, why, and how security issues might creep into your Python and R open-source ecosystem
How a single compromised open-source component can lead to a cascade of security breaches
Key steps for securing your open-source supply chain and a roadmap of risks you can reference with your teams to build security awareness

How to Secure Your Python Open-Source Supply Chain from Hidden Threats

Open-source software (OSS) offers free access to powerful tools created by the innovation of the community. But how you use those tools in an enterprise context can have significant effects on your organization’s data, collaboration, and security. Choosing the right OSS respositories for your use cases and requirements can make a difference in how your team builds, deploys, and secures your intellectual property and data. Anaconda provides secure open-source repositories to 90% of Fortune 500 companies. Join our Director of Engineering Kyle Leaders for a webinar about choosing OSS repositories with enterprise-level build, deployment, and security capabilities.


In this webinar, you will learn:
3 types of repositories commonly used in enterprise
5 considerations for choosing OSS repositories for enterprise
How to right-size and right-fit your OSS enterprise platform and tools

Considerations for Choosing OSS Repositories for Enterprise Use

As the adoption of artificial intelligence, machine learning, and data science (AI/ML/DS) continues to grow, the importance of open source security has never been more critical.

Today, upwards of 95% of enterprises rely on open source for rapid innovation making them attractive targets for threat actors who may attempt to compromise popular packages or distribute malicious ones.

Join Anaconda’s Principal Solutions Architect, Frank Yang, to learn how to secure your open source supply chain. This session will:

Delve into the challenges and risks associated with open-source

Demystify software supply chain security

Share best practices for mitigating open source risks

You will gain key insights on how to assess and secure your software supply chain and leverage open source innovations safely in your enterprise.

Securing Your AI/ML & Data Science Supply Chain

Attackers are leveraging AI to enhance the speed, scale, and sophistication of their cyberattacks, posing a significant challenge to traditional defense mechanisms. Amidst a staggering increase of 300% annually in AI-driven attacks, the critical factor lies in their speed, highlighting the urgency for security measures to operate in near real-time to mitigate threats effectively. 

The traditional way of doing security is ill-equipped for real-time defense. We also believe that AI can potentially empower defenders far more than attackers. However, the effectiveness of AI in cybersecurity greatly depends on integrating data and automation within a unified platform.  This session will explore the value of a unified AI, data, and automation platform in enhancing cybersecurity defenses, improving incident response capabilities, and enabling proactive threat hunting. 

Join us to delve into the key strategies for leveraging AI in cybersecurity and learn how a cohesive platform can empower CISOs to stay ahead of emerging threats in the age of AI.

Security Operations in the Age of AI

In today’s threat landscape, a cyber attack is no longer a question of if—but when. The real test is how quickly and confidently an organization can bounce back. Unfortunately, traditional tools often leave teams scrambling with delayed insights, noisy alerts, and outdated assumptions—especially when AI workloads and modern cloud environments are in play.
 
During this fireside chat, you’ll witness an expert deep dive into what happens after a security breach—and how to turn a moment of crisis into a catalyst for security maturity. By watching, you’ll learn how to:
 
• Detect, contain, and mitigate threats in real time
• Prevent AI-specific risks
• Build lasting resilience through continuous visibility and intelligent automation
• And more
 
Tune in now to equip your organization with the strategies needed to bounce back stronger than ever in 2025 and beyond.

Best Practices for Bouncing Back Stronger after a Cyber Attack

Every minute of business disruption costs organizations millions – and cyber attackers know it. As threat actors weaponize AI and exploit zero-day vulnerabilities with unprecedented speed, the difference between survival and failure often comes down to how quickly you can recover from an attack.

Modern cyber resilience demands a paradigm shift – moving beyond traditional security measures to create business-aligned defense strategies. By identifying and protecting mission-critical assets through the Minimum Viable Company (MVC) framework, security leaders can ensure business continuity even in the face of sophisticated attacks while optimizing resource allocation and demonstrating clear ROI to the board.

Join Roselle Safran, CEO & Founder of KeyCaliber, as she shares battle-tested strategies for building and implementing a cyber resilience program that directly supports business objectives and ensures operational continuity.

Key Takeaways:

- Learn how to identify and define your organization's Minimum Viable Company (MVC) components to prioritize protection of business-critical assets
- Discover methodologies for aligning cyber resilience strategies with business objectives and risk appetite
- Master techniques for testing resilience capabilities against real-world scenarios without disrupting operations
- Gain practical insights into implementing and measuring the effectiveness of your cyber resilience program through business-focused metrics

Business-Centric Cyber Resilience: Protect What Matters Most

In today’s threat landscape, a cyber attack is no longer a question of if—but when. The real test is how quickly and confidently an organization can bounce back. Traditional tools often leave teams scrambling with delayed insights, noisy alerts, and outdated assumptions—especially when AI workloads and modern cloud environments are in play.

Join CSO & Board Member Rinki Sethi and Upwind CPO Joshua Burgin for a deep dive into what happens after the breach—and how to turn a moment of crisis into a catalyst for security maturity. We’ll explore the critical capabilities security teams need to contain threats, prioritize risk, and rebuild trust—with speed and precision.

You’ll learn how to:
• Use live runtime signals to reconstruct what happened—across cloud and GenAI workloads
• Cut through the noise and focus
• Detect, contain, and mitigate threats in real time, not post-mortem
• Prevent AI-specific risks
• Align security and engineering for a faster, more coordinated response
• Build lasting resilience through continuous visibility and intelligent automation

Whether you’re responding to your first major breach or refining your playbook, this session will equip you with the strategies—and tech stack—to bounce back stronger than ever in 2025 and beyond.

Respond Smarter, Recover Faster, and Build Resilience with Runtime and GenAI-Aware Security

The emergence of quantum computing presents a unique challenge to the cybersecurity landscape. This transformative technology poses significant risks to current encryption methods, particularly for asymmetric cryptography systems like RSA and Diffie-Hellman, which secure most network communications today.
Organizations face a critical challenge: their existing cryptographic infrastructure may soon become obsolete against quantum computing capabilities. 
 
This presentation offers vital strategies for preparing for this transition, similar in scope to the Y2K challenge. The solutions presented are particularly valuable because they follow NIST guidelines rather than vendor-specific approaches, providing a standardized framework for organizations to assess their risk exposure and implement quantum-resistant algorithms systematically.
 
Join John Bruggeman (Virtual CISO, CBTS) to get a roadmap to transition from current encryption methods to quantum-resistant alternatives, ensuring long-term data security.

Key takeaways:
- Quantum Risk Assessment: Learn how quantum computing threatens current encryption algorithms and data privacy
- Strategic Implementation: Discover the essential steps for identifying at-risk data, conducting thorough data inventories, and documenting current cryptography usage across your organization's systems and tools.
- Industry Impact Assessment: Understand how to quantify and document quantum computing risks specific to your industry
- Transition Planning: Master the approach to implementing NIST-guided quantum-resistant solutions through a systematic, long-term project framework

Post Quantum Cryptography: Securing the Future

From data breaches to ransomware attacks, the cost of cybercrime is skyrocketing, demanding a new approach to security. Playing defense is no longer enough. Organizations need to anticipate threats and build resilience into their systems.  

CISOs and security leaders face immense pressure to stay ahead of the curve and build resilient organizations capable of withstanding and recovering quickly from security breaches. A product-led approach offers a proactive, data-driven solution for incident response, transforming security events into opportunities for continuous improvement. 

In this session, Oksana Denesiuk, product lead for billing and payments at Kaiser Permanente and ISSA Advisory Board Member, explores how cybersecurity teams can adopt a product mindset to enhance incident response, leveraging agile methodologies, iterative learning, and customer-centric thinking. 

Key Takeaways
- Embrace a product-centric approach to incident response, treating security incidents as valuable data points for continuous improvement.
- Integrate automated threat detection, secure coding practices, and incident learnings into the product roadmap.
- Use post-incident analytics, telemetry, and threat intelligence to refine security controls, enhance detection capabilities, and reduce the attack surface.
- Implement AI-driven detection, automated remediation workflows, and security orchestration (SOAR) to improve MTTR and MTTD.

Turning Incidents into Insights: A Product-Led Approach to Incident Response

Are you updating or reassessing your email security system to stay ahead in the ever-evolving threat landscape?

To help you make informed decisions to protect your organisation, our cybersecurity experts discuss:

• The findings of the 2024 Gartner® Magic Quadrant™ for Email Security Platforms report
• The current email threat landscape, the rise of AI and other emerging trends for 2025
• How to evaluate the strengths and weaknesses of your email security solutions
• Best practice strategies to mitigate email threats and protect your organisation’s sensitive data

Email Security in 2025: analyst insights, the rise of AI and strategic defences

The way employees communicate and collaborate is constantly evolving, and so too are the security threats they face. The rise of generative AI adds a new layer of complexity, requiring CISOs to proactively address the risks of data loss and potential harm to the organization.

Traditional security approaches often fall short in addressing the unique challenges posed by modern collaboration tools and the integration of GenAI. Understanding and mitigating these risks is critical for maintaining data privacy, preventing leakage, and ensuring compliance. We'll share Metrigy's latest research data to reveal actionable strategies for a comprehensive, business-aligned security strategy.

Join Irwin Lazar (President and Principal Analyst at Metrigy)  to discover the key components of a modern security approach, including how to:

- Establish alignment between IT, collaboration, and security teams to address evolving threats.
- Identify emerging threats stemming from new applications and out-of-band communications.
- Understand how generative AI creates new risks for data privacy, leakage, and effective data management.
- Develop a comprehensive security strategy tailored for collaborative environments and the GenAI landscape.
- Evaluate the benefits of third-party platforms optimized for collaboration and GenAI security to enhance your security posture.

Secure Collaboration in the Age of GenAI: A CISO's Guide to Risk Mitigation

Join us for an engaging fireside chat as we explore the evolving cyber threat landscape targeting the financial sector. We'll discuss key insights into the rise in DDoS attacks, AI-driven bot traffic, and sophisticated phishing campaigns.

Learn how attackers are leveraging AI to bypass defenses and execute deepfake phishing, and understand the impact of prolonged DDoS-as-a-Service and hacktivist campaigns. We'll also dive into the credential stuffing economy, revealing the vulnerabilities exploited by attackers.

Discover actionable defenses to stay ahead, such as integrating AI into SOC operations, enhancing authentication and API security, and adopting proactive threat intelligence. This session will emphasize the importance of AI-driven, intelligence-led security approaches to protect your financial institution in an increasingly complex digital landscape.

Don't miss this opportunity to stay informed and prepared for the next wave of cyber threats.

Other topics to be discussed include:

1. 2025 Cyber Threat Snapshot: Key Trends Shaping Financial Security
2. Key Takeaways from FS-ISAC 2024
3. Deep Dive: Credential Stuffing Economy & Emerging Attack Vectors
4. Actionable Defenses: How FSIs Can Stay Ahead

Securing Financial Institutions: Navigating the Next Wave of Cyber Threats

In the ever-evolving landscape of DevOps, the paradigm is now shifting - where security is taking the central stage. With vast surface areas including containers, cloud, repositories and third-party components, cyber threats became more prominent than ever before in DevOps.

This presentation will delve into the evolution from traditional DevOps to the advanced usage of artificial intelligence (AI) technologies to automate and optimize the software development and delivery processes. This includes automating code scanning, testing and deployment processes while eliminating the threats in each possible way in the cycle.

In this session, join Jyotirmayee Pradeep Kumar (Vice President - Cloud DevOps at a well-known global bank) as she unravels the stages of integration of AI at each phase of DevOps. Topics for discussion include:
- Types of AI used in DevOps.
- Benefits of using AI in DevOps.
- Implementation of AI in DevOps.
- Best practices for using AI in DevOps.
- Eliminating security threats using AI in DevOps.

Security Risks to Consider with AI Integration: AI in DevOps

Traditional penetration tests often miss the mark, failing to replicate the real-world tactics of today's sophisticated threat actors. In this session, Alex Holden, CISO of Hold Security, cuts through the noise and reveals how to transform your pen testing program with actionable threat intelligence.

You'll discover the latest attack trends and learn practical methods to simulate realistic cyber threats against your own defenses. From vulnerability exploitation to ransomware and social engineering, this session provides a hands-on guide to assessing your security readiness against the attacks that matter most right now. Leave with a clear roadmap to build a more resilient and threat-informed security posture.

Key Takeaways

- Understand the limitations of traditional pen testing and why threat intelligence is crucial
- Learn practical techniques for incorporating real-world attack simulations into your security assessments
- Gain a framework for building a more resilient and proactive security posture based on actionable threat intelligence

Smarter Pen Testing with Threat Intel

It takes valuable time to sift through the ever-increasing number of cyber threats and stop those likely to result in a breach. The faster your team can resolve that unending flow of incidents, the better.

Expert security teams are just one part of the solution. Add the latest AI tools to consolidate and simplify your existing security operations technologies, accelerating time to resolve critical incidents. Finally, prove to your stakeholders that everything is perfectly handled. See how Lumen Technologies is achieving this in this valuable session.

Sign up for our webinar, Empower the CISO’s organization with ServiceNow AI and automation, to supercharge your existing security operations. Lumen Technologies’ Geoff Krahn and ServiceNow’s Julian Azaret will explain how to:

- Apply intelligent workflows and generative AI
- Inspire confidence in your board, company, and customers
- Slash incident resolution time by up to 72%
- Take this simple step to ensure that your security team can be ready for future threats.

Empower the CISO's organization with ServiceNow AI and automation

The transformative potential of AI demands robust security and Google Cloud is uniquely positioned to help organizations accelerate their AI journey by providing capabilities to holistically manage risk across the AI lifecycle. Join this session to learn about how you can securely navigate the evolving AI landscape with new AI Protection capabilities, including Model Armor, our LLM guardrails solution, which allows organizations to apply security and safety controls to gen AI applications.

Managing AI Risk with Confidence

With 98% of organizations experiencing vendor breaches, preparedness is critical. This webinar equips CISOs and security leaders with strategies to effectively manage third-party cyber incidents. Learn how to leverage a robust playbook to move from reactive scrambling to proactive resilience.

Attend to learn how to:

- Stop Scrambling: Implement rapid response frameworks.
- Communicate Clearly: Develop winning crisis communication plans.
- Become Proactive: Discover preventative best practices.
- Ask the Right Questions: Vet vendor cybersecurity effectively.
- Learn from the Pros: Gain insights from real-world scenarios.

Don't let vendors be your vulnerability. Join us to streamline response, communicate effectively, and build a stronger digital ecosystem against escalating third-party threats.

A CISO's Guide to Mastering Cyber Incident Response: Are Your Vendors Your Weakest Link?

To succeed as a CISO in 2025, you first need guts and luck. This year is poised to bring huge disruption. Unless you have been involved in the design, delivery, direction and drivers for an organization’s technology infrastructure, are supported by effective management processes and procedures, and have a large budget and resources, you will need to re-evaluate your strategy.

This webinar will challenge your understanding of good practices and focus on “known, knowns”, identifying the challenges that can arise for the "SHOCKS, HORRORS and EXCUSES" that accompany significant disruptions. It was also explore a need to learn lessons from the past to prepare for the future.

Together we will consider challenges arising for CISOs, by answering:
1) What key areas should CISOs focus on during 2025?
2) Why should CISOs establish an operational resilience strategy? 
3) How would scenarios versus resources assist CISOs in their strategic delivery? 

Tune into this session presented by operational resilience expert Steve Yates, as he explores the challenges faced by CISOs, and why their function is so critical to the survival of organizations and society, especially as nation state actors and other hacker groups seeks to attack our company and personal data.

Viewers will come away from this session with the ability to:
- Form an understanding of an operational risk approach.
- Consider the challenges that exist in adopting a “siloed” approach. 
- Know the need of exercising your organization for a critical scenario.

What are the Top CISO Priorities for 2025?

A powerful alliance is formed when CISOs and boards unite, paving the way for enhanced digital resilience. However, differences in how to prioritize and measure the impact of cybersecurity can create misalignment. Join to explore the top 5 gaps between CISOs and the board.

Bridge the Gap – CISO and the Board

CISO Summit

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Understanding the State of Enterprise Open-Source AI & Adoption Challenges

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