Jacksonville

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.

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 talk 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
• How Exabeam uses ML today and is exploring AI in the future

“Pay Up, or Else”. The number of organizations who have been faced with this scenario has been steadily increasing over the past several years as ransomware attacks continue to rise — both in numbers and the size of payouts.

The clear and present danger of a ransomware attack looms large among cyber executives and business leaders as the number of vulnerabilities increases daily. According to a 2022 CRA Business Intelligence survey, nearly one in four respondents reported that their organization experienced one or more ransomware attacks in the past 12 months, and almost one out of three of these organizations said the attacker succeeded in gaining access to their systems, encrypting files, and demanding a ransom

According to this survey, many believe that the worst is yet to come and that they are at a significantly higher risk of a cyberattack than ever before – it’s not a matter of “if,” but “when.”

Preparing for the inevitable and defending against the threat of a ransomware attack requires constant evaluation and assessment, and then making the necessary adjustments.

On this panel, our lineup of industry experts will discuss the key security measures enterprises must take, going beyond backup and recovery and anti-malware/anti-virus solutions to include endpoint security, vulnerability management, Active Directory monitoring, credential protection, DNS security tools, SIEM, DLP and encryption, and cloud security software.

Legacy SOAR (Security Orchestration, Automation and Response) technology promised to revolutionize the practice of security operations. Unfortunately, the first generation of these platforms have gained a reputation for rigid playbooks that require extensive development resources, poor case management features, and limited use cases. That’s why Swimlane developed a more modern and extensible approach to security automation.

Use of the cloud is continuously growing, not surprisingly so due to its perceived lower costs, greater agility, and ability to increase computing power with increased demand & continuously deploy new applications and software features.

Despite the appeal of cloud, there are many security risks and vulnerabilities and managing these risks has proven to be a big challenge as cyber criminals shift their tactics to cloud data and systems in responses to this increased use of the cloud. According to a CRA Business Intelligence’s September 2022 Cloud Security Survey, misconfigurations, lack of oversight, and little visibility across the organization are among their chief concerns regarding cloud deployments.

If organizations are going to successfully adopt/transition to the cloud, they must ensure security is part of their program. An effective cloud security program includes various process and technology capabilities to effectively keep up with the current threat landscape and vulnerabilities.

To be eligible to earn your Full CPE Credits, delegates must be in attendance for the full day. In order to claim any raffle prizes, you must be present during the cocktail reception.