Talk Title:  18 Days to 7 Minutes: How Predictive AI Scales Brand Protection from Manual Triage to Autonomous Defense

Abstract

Brand impersonation and lookalike domains are no longer a marketing nuisance; they're the staging ground for phishing, account fraud, and the incidents your SOC ends up cleaning up. Adversaries powered by AI now register and weaponize convincing lookalike infrastructure faster than defenders can triage it, while traditional detect and respond teams still treat brand protection as reactive, manual work moving at human speed against attackers operating at machine speed and scale. This session walks through the Brand Defender's Blueprint, a vendor-neutral six-step workflow (Collect, Filter, Assess, Decide, Report, Track) for protecting brand infrastructure at scale. We'll get concrete about the signals that matter: newly registered domains, WHOIS and registration telemetry, DNS records, IPs and ASNs, certificate transparency, hosting and cloud movement, and cloaked content. For each, we'll cover the free and low cost sources, and the real limits of doing this by hand: the feed volumes, storage, processing, and analyst hours that make manual brand protection unsustainable for a modern SOC. That's where predictive AI comes in: the layer that lets brand defense become autonomous. Random forest models and behavioral analysis score malicious intent at inception, catching staging behavior that traditional feeds miss before the content is ever live, and buying on average 18 days of advance warning. That combination of earliness and accuracy earns the right to act automatically: disrupting threats in minutes and taking down infrastructure preemptively, with humans reserved for the highest-stakes calls. Five Fortune 500 case studies, spanning manufacturing, banking, SaaS, retail, and finance, show the before / after in detection, mitigation time, and SOC incident load. You'll leave with a way to audit your own exposure window and a clear view of where AI and automation deliver the most leverage in brand defense.

Speaker Bio

Andre Piazza is a cybersecurity strategist at BforeAI who works left of boom, catching adversary infrastructure during its staging window, before ransomware, account fraud, or brand and supplier impersonation reaches a target. He treats attacks as infrastructure and behavior rather than content, working from public signals like WHOIS, DNS, certificate transparency, and ASN data, and linking domains by registration velocity, shared certificate fingerprints, and hosting overlap to surface lookalike infrastructure before it goes live, early and accurately enough to disrupt it automatically. His work spans verification fraud, AI-enabled impersonation, scams that spin up around breaking news, and operational technology, and it gives as much weight to the human trust attackers exploit as to the technology. He turns published threat research into methods practitioners can use the next day, and he is a regular speaker at the SANS AI Cybersecurity Summit and BSides conferences including Seattle. He cares about building a more resilient community through collective defense.