AI security is critical and often overlooked. This section is dedicated to the people thinking about how AI systems can be attacked, defended, and made safer. As agents gain more autonomy and access to real-world tools, security becomes more important, not less.
Topics that belong here:
- Prompt injection and jailbreaking (offensive and defensive)
- Guardrails, content filtering, and safety mechanisms
- Data privacy and leakage concerns
- Agent security (tool authorization, sandboxing, access control)
- Red teaming methodologies and findings
- Security best practices for AI-powered applications
- Vulnerability disclosures and incident discussion
If you’re building with AI, you should be thinking about security. This is where that thinking happens.