Cyber AI & Automation Summit

In an era where AI-generated deepfakes and sophisticated social engineering attacks are becoming increasingly prevalent, effectively weaving together human and machine intelligence (AI) is more important than ever.  Join us for an exclusive virtual session hosted by Gregor Stewart, VP of AI, and Dr. Jessica Barker MBE, a leading expert in the human aspect of cybersecurity and a best-selling author. We will discuss recent high-profile incidents and emphasize the crucial role of human awareness in addressing these challenges.  In this insightful session, we will: 

• Explore the critical intersection of human intelligence and AI in cybersecurity 
• Analyze real-world examples of AI-driven threats  
• Foreground ways that security teams can positively influence culture (using AI) to counter these new threats. 

As we navigate this complex landscape of AI-driven threats, this session will equip you with the insights and strategies that highlight the crucial role of human awareness in safeguarding our digital future.

The growing number of software updates, vulnerabilities, and attacks in a complex and dynamic IT environment are making it harder for IT and security to keep up with tasks like patching, compliance, vulnerability management, and incident response in a timely and efficient manner. This session will cover a groundbreaking new approach that transforms how IT and security identify and execute changes safely in their environment using automation and AI. See how you can get dramatically better insights, have a unique ability to act faster than ever before, and gain an order of magnitude more confidence when taking actions.

The "Crossroads of AppSec & Gen-AI" talk by Sohail Iqbal, CISO at Veracode, will focus on the intersection of Application Security and Generative AI, highlighting the current challenges facing organizations today. Sohail will share critical findings and recommendations from Veracode's latest State of Software Security research, demonstrating how Gen-AI further amplifies the risks associated with application stacks. He will cover practical steps on how to adopt Gen-AI safely and overcome the velocity and adoption challenges it brings to the software development life cycle and overall organizational ecosystem.

Over the past year and a half, generative AI has seen explosive growth among both end-users and businesses, and the cloud is no exception. AI tooling is on the rise in most organizations, but at what rate?   Watch as Wiz security researcher, Amitai Cohen, delves into the data and analysis of over 150,000+ cloud accounts to share what the team has learned, including:

- The breakdown of generative AI’s impact on cloud landscapes

- Statistics on the surge of AI services across major cloud providers 

- What this means to you: Rising costs and new security concerns 

Skip the fluff and arm yourself with practical insights for a successful and secure AI integration in your cloud strategy.

Please visit our sponsors in the Exhibit Hall and explore their resources. They're standing by to answer your questions.

Cybersecurity programs and processes take significant investments and resources to deliver cybersecurity services and reduce risks. Strategic and high-value time of internal resources is spent on manual cybersecurity efforts. In this new AI enabled world, how can CISOs and cyber executives think differently about meeting their customer and business commitments of maintaining a secure and compliant environment, in a cost efficient way? Latest GenAI and related technologies provide the capability of building data pipelines with source systems, generating insights from unstructured information, and building reporting layers to give near real-time risk and controls insights. Custom use cases and homegrown solutions that are built on a secure platform can significantly save costs and drive efficiencies for the business. Learn more about how to use AI effectively and efficiently for your cyber programs.

Ensuring the security of LLM-based systems is so difficult due to the fact that filtering based on keywords or patterns is virtually impossible based on an infinite number of ways to write potentially malicious messages for the LLM to process. The session will be a walkthrough of a gatekeeper model to help protect an LLM against misuse, which employs one or more LLMs that act as initial proxies for the "real" LLM. In a Capture the Flag (CTF) scenario, the research details the process and results of using two gatekeepers to check user input before the primary LLM even sees it. Then, if deemed a valid query, using a third gatekeeper to validate the response, potentially catching abuse that may have evaded the inbound gatekeepers by scrutinizing the reply for unusual output.

Threat modeling is essential for identifying and mitigating cybersecurity risks, but manual processes can be slow and error-prone. Join us for this session as Audrey Long, Senior Security Software Engineer at Microsoft in the Commercial Software Engineering team (CSE), explores how AI can accelerate and enhance threat modeling. 

Real-world examples will demonstrate how AI streamlines threat modeling, increasing efficiency and ensuring consistency. We will also discuss the challenges of automating threat modeling, including analyzing system architectures and identifying attack vectors. 

Additionally, we will address AI's limitations in threat modeling and mitigation strategies.

Whether you're new to threat modeling or want to improve existing practices, this talk will show you how AI can revolutionize your cybersecurity approach.

Your AI security analyst to detect earlier, respond faster, and stay ahead of attacks.

Please visit our sponsors in the Exhibit Hall and explore their resources. They're standing by to answer your questions.