The Wall Street Technology Association (WSTA®), a not-for-profit organization that provides financial technology and business professionals a forum to learn from and connect with each other, will host a virtual seminar and panel discussion on “Predictive Analytics, AI & the New Face of Cybersecurity” on September 16, 2020. Speakers at this event include Keynote and Panel Moderator: Johna Till Johnson, CEO and Founder, Nemertes Research; Breakfast Speaking Sponsor: Splunk Inc.; Secondary Speaking Sponsor: Imperva; Speaking and Panel Sponsors: Booz Allen Hamilton, Cloudflare, Expel, Palo Alto Networks, Proofpoint, Securonix, and Verizon. For more information, please visit: https://www.wsta.org/events/event/predictive-analytics-ai-cybersecurity/
“Cybersecurity professionals are seeking to implement techniques like predictive analytics, AI, and machine learning to improve their organizations’ security stances, streamline processes, and reduce workload on overstressed cybersecurity professionals,” says Johna Till Johnson, CEO and Founder of Nemertes Research and WSTA content committee chair. “The challenge lies in embedding these tools within an effective architecture. This seminar focuses on how to do precisely that. “
Predictive analytics, AI, and machine learning are changing how cybersecurity professionals protect against and respond to threats and attacks. It’s now possible to know what an attacker is about to do before he does it, which means enterprise cybersecurity professionals can move up the maturity model from reactive to proactive and anticipatory.
This session zeroes in on the specifics of how these technologies can work in a cybersecurity environment. We’ll discuss the controls they enable, the benefits they bring–and the security operational changes they require. And we’ll provide participants and attendees with actionable next steps for implementing these tools in their own cybersecurity environments.
Key topics and technologies include:
- The role of analytics in zero trust
- Analytics, AI, ML, and cloud-based cybersecurity
- How AI and ML are upending the role of a cyber data analyst
- Analytics, AI and advanced threat detection/threat-hunting
- Analytics-driven cybersecurity modeling
- Behavioral threat analytics (user and entity behavioral analytics)
- Digital ethics and insider threat analytics
- Infrastructure enabling effective cyber analytics at scale
- Where now? The future of cybersecurity analytics
Panel Discussion: Using AI and Predictive Analytics for Cybersecurity: Practical Guidelines
How should organizations begin and continue adopting AI and predictive analytics? Are they a feature, a property, or an architecture? What are the best steps for embracing AI and predictive analytics for cybersecurity? What are the stumbling blocks? Staffed by veteran technologists and cybersecurity specialists, this must-watch session focuses on the practical do’s and don’t’s of implementing AI and predictive analytics. Attendees will come away with a checklist of next steps and best practices enabling them to move up the maturity model, regardless of starting point. And they’ll obtain practical guidance on avoiding pitfalls and common mistakes.