Lightning Talk: Predictive AI Shrinks Takedown Cycles

SANS Institute
SANS InstituteMay 4, 2026

Why It Matters

Predictive AI turns reactive security into proactive defense, slashing remediation time and cutting costs—critical advantages for any organization battling large‑scale online brand abuse.

Key Takeaways

  • Predictive AI reduces takedown cycles from weeks to minutes.
  • Signify faced hundreds of alerts, many false positives daily.
  • Predictive AI analyzes 140+ internet parameters across billions of assets.
  • Early behavior forecasts cut false positives and improve response speed.
  • Operational savings realized by compressing SOC workload and boosting productivity.

Summary

The talk highlighted how predictive artificial intelligence can dramatically accelerate the takedown of malicious online content. Signify, a global manufacturer with a massive external attack surface, was drowning in hundreds of daily alerts—many of them false positives—and experienced weeks‑long delays before removing counterfeit or impersonating sites.

By partnering with Before AI, Signify fed a predictive‑AI engine more than 140 internet‑derived parameters—IP, ASN, BGP, DNS and other signals—spanning over a billion infrastructure elements. The model learned associations between benign and malicious assets and forecasted how those assets would evolve, enabling the security team to act before threats fully materialized.

Andre Piaza, cyber‑security strategist at Before AI, emphasized the shift: “By squeezing the workload of the SOC, productivity expands and the business thrives.” The results spoke for themselves—takedown times collapsed from weeks to roughly seven minutes, and operational costs fell sharply as false‑positive noise was filtered out.

The success story suggests that predictive AI, distinct from generative AI, can become a force multiplier for security operations, delivering faster response, lower staffing overhead, and stronger brand protection for enterprises facing sprawling digital footprints.

Original Description

Predictive AI Shrinks Brand Takedown Cycles: Weeks of Manual Triage to less than 7 Minutes, $12M ROI
🎙️ Andre Piazza, Cybersecurity Strategist, BeforeAI
📍 Presented at SANS AI Cybersecurity Summit 2026
Predictive AI signals collapse weeks of brand triage and takedowns into minutes, automated. In this lightning talk, Andre Piazza, Cybersecurity Strategist at BeforeAI, explores how predictive models can dramatically accelerate brand protection workflows by reducing manual analysis and response time.
Explore upcoming SANS Summits to continue learning from leading voices in cybersecurity: https://go.sans.org/summits

Comments

Want to join the conversation?

Loading comments...