Sign up to save your podcasts
Or
Share The AI Series: Inside URL Guardian—An LLM Built for Detection
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
The AI Series: Inside URL Guardian—An LLM Built for Detection
Mike Hart returns to walk through URL Guardian, our new LLM for malicious URL detection. Now live on HuggingFace, it’s built to spot suspicious patterns and reduce false positives—without the regex headaches.
Check out the Hugging Face here: https://huggingface.co/Anvilogic/URLGuardian
Stay in the loop! Connect with us:
- Join Dispatch Community: https://www.anvilogic.com/workshop
- Website: https://www.anvilogic.com/
- LinkedIn: https://www.linkedin.com/company/anvilogic
- YouTube: https://www.youtube.com/@Anvilogic
About Detection Engineering Dispatch
Detection Engineering Dispatch is a live series featuring open discussions and live case studies with security operations teams at leading companies on what it takes to build a great detection engineering program. Join your peers to share knowledge, deep dive into technical best practices, and engage in discussions relevant to the detection engineering community.
View all episodes
By AnvilogicMike Hart returns to walk through URL Guardian, our new LLM for malicious URL detection. Now live on HuggingFace, it’s built to spot suspicious patterns and reduce false positives—without the regex headaches.
Check out the Hugging Face here: https://huggingface.co/Anvilogic/URLGuardian
Stay in the loop! Connect with us:
- Join Dispatch Community: https://www.anvilogic.com/workshop
- Website: https://www.anvilogic.com/
- LinkedIn: https://www.linkedin.com/company/anvilogic
- YouTube: https://www.youtube.com/@Anvilogic
About Detection Engineering Dispatch
Detection Engineering Dispatch is a live series featuring open discussions and live case studies with security operations teams at leading companies on what it takes to build a great detection engineering program. Join your peers to share knowledge, deep dive into technical best practices, and engage in discussions relevant to the detection engineering community.