july 11 cybersecurity
Learn about the latest cybersecurity risks, threats and solutions, covering Malware, AI-Generated Threats (and Solutions), Ransomware, AppSec, DevSecOps, Container Security, Zero Trust Architecture and more, featuring expert speakers from Microsoft, AWS, SUSE and Trellix. Two (2) CPE credit hours are provided.
Please use your Angelbeat account - created on the secure Memberspace platform, at no charge - to register to attend this webinar (hosted on Zoom), which also lets you download slides, watch on-demand videos, plus signup for future programs with one-click. If you already have an account, you will be asked to confirm your registration. Otherwise you are prompted to fill out a simple contact form.
If you have any questions email rgerber@angelbeat.com and we will get back to you right away.
Speakers, Topics, Agenda
1 pm ET, 10 am PT Ron Gerber, CEO Angelbeat
Angelbeat and Webinar Overview: Angelbeat CEO and webinar emcee Ron Gerber summarizes the agenda, briefly describes each presentation topic, and encourages attendees to ask live questions at the end of each session.
1:05 pm ET Jay Pelletier, Technology Specialist - Cyber Security and Compliance
Microsoft Security Co-Pilot: Bring the power of Generative AI and ChatGPT to CyberSecurity, Automatically Stay One Step Ahead of Hackers and Attacks.
1:30 Brent Schroeder, Global CTO
SUSE NeuVector Full Lifecycle Container Security: SUSE NeuVector is the only 100% open source, Zero Trust container security platform. Continuously scan throughout the container lifecycle. Remove security roadblocks. Bake in security policies at the start to maximize developer agility.
1:50 David Marsh, Solution Architect
AWS Verified Access: Provide secure access to corporate applications without a VPN
2:10 Shibu Nair, Principal Solution Architect
Security in Generative AI: Security in Generative AI refers to the safeguards and precautions that ensure the correct functioning, trustworthiness, and safe application of Generative AI systems. This includes measures to protect the systems from adversarial attacks, data manipulation, and unauthorized access. It also implies the prevention of malicious uses of Generative AI, such as creating deepfakes or propagating disinformation. Ensuring privacy, notably in the data generation phase, is another crucial aspect. Proper security measures in Generative AI provide users with the assurance that the system will operate reliably, ethically, and securely while respecting privacy regulations.
Security peace of mind with Trellix XDR: Streamline SecOps with increased intelligence, Stay ahead of threats with workflows and playbooks, Unify your security with a next-gen platform.