$Cybersecurity in the AI Era \u2013 Protecting applications from AI-driven threats.$

Workshop Agenda :

Introduction to Cybersecurity in the AI Era (20 mins)

Welcome & Overview:
Brief introduction to cybersecurity: Why it’s crucial for businesses and individuals.
The evolution of cybersecurity with AI: How AI is transforming both cybersecurity defenses and threats.
AI-Driven Cybersecurity Threats:
Overview of AI-driven threats: Deepfakes AI-powered malware automated hacking tools and advanced phishing.
Why AI presents a new challenge for cybersecurity: Speed scale and sophistication of attacks.

Session 1: Understanding AI-Driven Cybersecurity Threats (30 mins)

Common AI-Powered Threats:
AI-Generated Malware: How AI can be used to create new more effective malware.
Deepfakes and Misinformation: How AI tools create convincing deepfakes to impersonate individuals and manipulate information.
Automated Phishing and Social Engineering Attacks: AI-driven phishing attacks that adapt and improve over time.
Case Studies of AI-Driven Cybersecurity Attacks:
Real-world examples of AI-driven attacks and their impact on businesses.
Discussion on how AI has been used to bypass traditional security measures.

Interactive Exercise 1: Analyzing AI-Driven Threats (20 mins)

Activity:
Participants will be shown different examples of AI-driven cyber attacks (e.g. AI-generated phishing emails or deepfake videos).
In small breakout groups participants will analyze the threats and identify potential vulnerabilities in their business applications or personal cybersecurity.
Groups will share their findings and the facilitator will provide feedback on identifying AI-driven threats.

Session 2: Protecting Applications from AI-Driven Threats (30 mins)

AI-Based Defenses:
Introduction to AI-driven cybersecurity tools: How AI can help detect and prevent cyber threats in real-time (e.g. anomaly detection predictive analytics).
Examples of AI-based tools for application security: Threat detection malware analysis and behavior monitoring.
Securing Applications in the AI Era:
Best Practices for Application Security: How to build secure applications from the ground up.
How AI tools can enhance traditional security measures: Firewalls encryption authentication protocols.
The role of machine learning in identifying unusual patterns and flagging potential threats.
Adapting Security Practices to the AI Era:
Training your security systems to recognize AI-powered attacks.
Implementing a continuous learning loop to stay ahead of evolving AI threats.

Interactive Exercise 2: Securing Your Application (20 mins)

Activity:
Participants will use a basic AI-powered security tool to scan a mock application for vulnerabilities.
Participants will review and discuss the results of the scan and propose security enhancements to counter AI-driven threats.
Facilitator will guide the participants in applying best practices for securing applications from AI threats.

Session 3: Future of Cybersecurity in the AI Era (15 mins)

AI and the Evolving Cybersecurity Landscape:
How AI will continue to shape the future of cybersecurity: Emerging trends challenges and solutions.
The importance of ethical considerations in AI-driven security systems.
Preparing for future AI-driven threats: Keeping up with AI innovations and adapting security practices.
Building a Resilient Cybersecurity Strategy:
How to integrate AI-powered security measures into your broader security strategy.
The role of human expertise: AI should augment not replace human security professionals.

Q&A and Closing Remarks (15 mins)