The Attack Surface of AI-Powered IDEs
Details
The Attack Surface of AI-Powered IDEs: Modern Mitigation Strategies From an Attacker Perspective.
This live session exposes several critical blind spots in AI development security. As AI agents gain autonomy to read, write, and execute code, they're weaponizing long-standing IDE features.
Attackers exploit this gap through prompt injection, turning trusted development tools into attack vectors for data theft and code execution.
The session explains why this is an architectural problem, outlines attack patterns, and offers practical strategies for securing AI development pipelines when prevention alone is insufficient.
What You Will Learn?
- Why AI agents fundamentally change IDE security—legacy features designed for human developers become exploitable when agents act autonomously.
- Why a single vulnerability affects entire platforms—one exploit pattern impacts all AI IDEs built on VS Code.
- Defense strategies that work: capability scoping, egress controls, human-in-the-loop gates, and continuous security posture management.
- How attackers use prompt injection to trigger automatic IDE behaviors and bypass traditional security controls without user interaction.
Who Should Attend?
- Security leaders are evaluating AI development tools and setting organizational AI policies.
- Engineering teams are deploying AI-powered development environments.
- Security architects building controls for AI application security.
- Anyone responsible for securing AI systems across the development lifecycle.
Speakers
Eilon Cohen | AI Security Researcher @ Pillar Security
Dan Lisichkin | AI Security Researcher @ Pillar Security
Notes
- Level: Practical, technical (Level: 200-300)
- Language: Hebrew
- Format: Online and interactive
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