Hacking AI - Understanding cyber risks in AI-driven applications

WEBINAR ON DEMAND | CYBERSECURITY

As AI becomes more integrated into critical operations, understanding how threat actors can exploit these systems is essential. If you’re involved in AI operations, development, or cybersecurity, this session will provide valuable insights.

With the rise of AI, organizations face new vulnerabilities that differ from traditional cyber threats. From data leakage to unauthorized access, AI can open pathways that are uniquely susceptible to exploitation.

In this session, Ralph Moonen, Technical Director at Secura/Bureau Veritas, will explore the potential attack vectors in AI systems and discuss practical mitigations to safeguard your applications. Learn about real-world risks associated with AI-driven technologies and gain actionable steps to protect your organization.

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Keypoints in this webinar

Here are the key points from the webinar:

1. AI as a Cybersecurity Risk: Key Threats and Vulnerabilities

• AI models can leak confidential data if trained on datasets containing sensitive information (e.g., passwords or personal data).
• Prompt injection is a common attack technique where AI systems are manipulated to exhibit unwanted behavior, such as disclosing sensitive data or performing malicious actions.
• Threat actors are increasingly using AI for attacks, such as generating deepfakes and conducting social engineering campaigns.

2. AI Regulations and Standards

• The AI Act (Europe) classifies AI systems into risk categories, such as "prohibited systems" and "high-risk systems," which require strict regulation.
• The upcoming ISO 42001 standard provides a framework for AI management, including risk assessment, ethical use, and quality assurance.
• Regional differences: Europe and China focus on stricter regulations, while the U.S. leans toward guidelines and innovation.

3. Best Practices for Securing AI

• Organizations should implement an AI usage policy and train users to recognize AI-related threats, such as deepfakes and AI-generated content.
• Opt for on-premise AI solutions where possible, as cloud-based AI poses risks of data leakage and reduced security control.
• Validate AI output and utilize resources like the LLM OWASP Top 10, which provides insights into the top threats and security guidelines for AI models.

Intended Audience

This webinar is designed for professionals involved in the development, implementation, and security of AI systems, particularly those interested in understanding the unique cybersecurity risks of AI-driven applications. Key attendees include:

• AI operators overseeing AI deployments in their organizations
• Developers and IT managers responsible for implementing AI solutions
• Pentesters focused on identifying vulnerabilities in emerging technologies
• Security professionals interested in mitigating AI-specific cyber threats

Watch the replay of this webinar today:

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