New York, October 2024 — Red Points has introduced AI Incident Prediction, a new Copilot capability that helps brands anticipate which incidents are most likely to pose real risk. Instead of reviewing cases sequentially or reacting to issues after they escalate, brands can now see which incidents deserve immediate attention based on their brand’s unique threat patterns, product catalog, and profile. This shift enables faster prioritization, clearer resource allocation, and a more structured approach to handling large volumes of digital threats.
Brands today operate in an environment where the speed, diversity, and volume of incidents continue to grow. Although automation helps teams move faster, knowing where to direct attention remains a challenge. AI Incident Prediction addresses this by assigning a predictive risk level to each incident, guiding teams toward the cases most likely to affect revenue, reputation, or consumer trust.
“Brands are navigating an environment where threats move faster than traditional review processes can keep up,” said Laura Urquizu, CEO of Red Points. “AI Incident Prediction gives teams the foresight they need to stay ahead of that pace. It helps them focus on the issues that will have the biggest impact on their business and act with confidence in critical moments.”
Why AI Incident Prediction Matters
Brand-protection teams often manage thousands of incidents across multiple channels. Without guidance, it becomes difficult to know which cases deserve immediate attention. AI Incident Prediction brings structure to this process by assessing the likelihood that an incident represents a potential infringement—based on real-time signals such as seller behavior, past takedowns, and brand-specific validation trends.
With this additional layer of intelligence, teams can:
- focus on high-risk incidents before they disrupt revenue or consumer trust;
- reduce the time spent reviewing low-priority or unlikely threats;
- ensure more consistent decision-making across reviewers and teams;
- and use predictions to strengthen internal prioritization and escalation workflows.
While predictive scoring informs decisions, customers retain full control and authority over what gets validated or enforced.
“Brands often know where the biggest risks lie, but they don’t always have the bandwidth to find them quickly,” said Daniel Shapiro, SVP of Brand Relationships at Red Points. “AI Incident Prediction surfaces those signals early. It makes large incident volumes manageable, and it helps teams focus their efforts where the impact will be greatest.”
About Red Points
Red Points protects brands and consumers from counterfeits, impersonation, and digital fraud across marketplaces, social platforms, websites, apps, video commerce, and AI-commerce environments. Powered by advanced AI and a decade of operational refinement, Red Points delivers predictive, scalable brand-protection systems for global enterprises.
