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Virtual Cybersecurity Summit: Implications of AI

Securing AI-Assisted Engineering: Addressing the New Threat Landscape


Course
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Sonya Moisset of Snyk breaks down the security risks of AI-assisted engineering - from slopsquatting to weaponized agents - and shares a five-layer playbook to secure your AI-powered software development life cycle.

As artificial intelligence coding tools and agentic workflows become embedded in the software development life cycle, organizations face a fast-evolving attack surface that most security teams are still catching up with. In this session, Sonya Moisset of Snyk moves beyond the hype of "vibe coding" to present a practical, five-layer secure-by-design playbook for AI-assisted engineering. From prompt engineering and architecture boundaries to supply chain hardening and developer culture, this session equips security and engineering teams with actionable strategies to reduce risk without slowing down delivery.

The session will also cover:

  • How AI-assisted engineering is reshaping development - and the risks that come with it, from slopsquatting to weaponizing AI agents;
  • Practical strategies to secure AI-generated code and the AI-native attack surface at scale;
  • Why governance frameworks like NIST AI Risk Management Framework and OWASP's Top 10 for LLMs are now essential organizational anchors.
 

 

Here is the course outline:

Securing AI-Assisted Engineering: Addressing the New Threat Landscape

Completion

The following certificates are awarded when the course is completed:

CPE Credit Certificate

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