Silicon Valley

There seems to be a new article every day covering the intersection of artificial intelligence (AI), machine learning (ML), and the security industry. Vendors are suggesting that AI has the potential to act as a team member, replace missing expertise, and reduce headcount for detecting, investigating, responding to, and predicting new cyberthreats. The concept of a fully computerized SOC may be a dream in a world lacking cybersecurity professionals, but can it be realized?

Increasing the autonomy of the SOC is a noble goal, especially for smaller organizations struggling to hire and retain the necessary cybersecurity skills. However, the need for self-learning and self-repairing capabilities in an autonomous SOC raises an important concern: If your IT and security system becomes self-referential and self-healing, how can you investigate to ensure it’s getting it right? Who watches the watchers?

This discussion will explore:

• The history of AI, ML, and automation already in your security stack
• The dangers and challenges of unrestricted GPT and other chat bots as information sources
• Ways humans and AI can work together

For far too long, the role of the security analyst, charged with investigating, validating and responding to attacks amidst the noise of alerts from multiple tools, has been a frustratingly fragmented and inefficient one. The hours spent on manual triage, threat hunting and research across many tools and data sources, not only extends the time taken per incident, but also distracts valuable resources away from higher risk attacks. Data shows that despite deploying more great tools and getting more alerts, we are not getting much better at this, if at all, over the past several years. The industry needs to focus on the analyst experience. How can these tools and data sources be better connected? How can AI and machine learning best be employed to unburden teams of the error prone repetitive tasks while providing rapid and valuable insights into the specifics of an attack, and even provide focused recommended actions? This can and does, dramatically improve the overall analyst experience and efficacy, helping to prevent burn out while simultaneously sharpening response capabilities. Join us to discuss what we have learned and how we and other members of a growing, open community are building and delivering in this space.

When looking at how to best protect your business, cybersecurity readiness should be top priority, but what is it?

Cybersecurity readiness is the ability to identify, prevent, and respond to cyber threats. Can proper data governance, risk management (including managing 3rd party risk and supply chain risk) and compliance provide a framework to always being ready?

Let’s discuss GRC & the best steps to take when quantifying cyber risk, developing your incident response plan, creating a data security policy & more.

Getting past the hype of AI and ChatGPT, there are huge benefits to practical (and less sexy) applications of AI. And despite all the buzzwords and overpromises coming from our industry today, there actually are real and meaningful ways AI tools will help security professionals make better risk decisions, faster and more accurately. In this talk, we’ll show some examples of how AI can help predict risk, cut through complexity when making risk decisions and even help to retain senior staff while keeping them focused on the tasks that matter most.

What are the biggest threats to your business? What’s changing in the current threat landscape that you need to know about? Is ransomware still the biggest threat or is AI taking the spotlight?

On this panel our lineup of industry experts will discuss the most dangerous and emerging threats to your organization as well as the solutions that go beyond anti-malware/anti-virus to include endpoint security, vulnerability management, Active Directory monitoring, credential protection, DNS security tools, SIEM, DLP and encryption.

Threat actors need a way to infiltrate your environment. They can come through all angles such as: email, network, cloud, or even internally. Once they have a hold of a username / password they can log in via VPN and gain access to the whole environment. Do you have enough visibility into your intrastate to see the unknown and where are your loopholes?

Let’s discuss the different attack surfaces and how to secure your environment from the ground up!

In this presentation, we will delve into the fascinating world of artificial intelligence (AI). Join me as we explore AI, examine its historical development, and current applications, and discuss the potential impact and ethical considerations of AI in the future.

Artificial intelligence has come a long way since its early beginnings. From the first AI programs in the 1950s to the development of expert systems in the 1980s, we will explore the breakthroughs that have shaped the field of AI. Discover how these advancements laid the foundation for the sophisticated AI technologies we use today. Hear how Check Point is, and has been, leveraging AI and the new tools we are developing to fight fire with fire.

AI technologies such as machine learning, natural language processing, and computer vision are constantly evolving. Learn about where to find the latest breakthroughs in AI research and development, including deep learning algorithms, neural networks, and robotics. These cutting-edge innovations in AI are changing the way we live and work.

The history of AI, the current state of the technology, and the potential future impact are all evidence of the incredible journey we are on.  Join me for this fun, informative presentation.

Cloud computing solves many problems like flexibility, cost-efficiency & scalability, so it’s no surprise that use of the cloud is consistently growing. 

That said, it also means organizations step into unknown areas where gaps are easy to miss and hackers are quick to exploit. 

Today we will discuss all things cloud so you know what works best for your organization.

Our experts will look at hybrid and multi-cloud environments, adopting the concept of cybersecurity mesh & Zero Trust, the Secure Access Service Edge (SASE) framework, cloud-native tools & platforms, as well as why the future of network security is in the Cloud. 

2024 will mark the pivot point when software security finally gets the attention it has been lacking. The impetus for transformation will be driven by the innovation opportunities of AI and the rise of regulation focused on creating better security outcomes for customers. Join Francis Ofungwu, GitLab Global Field CISO, in this high-level overview. He will examine standards and regulations your software and application security programs should care about, the impact of non-conformance on your business, and recommendations on how to prepare for this sea change.