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Whalemate

Whalemate is a human risk management platform that simulates phishing, QRishing, and other social engineering attacks while delivering personalized security training. The platform uses an agentic system to prioritize interventions based on individual risk scores, measuring real behavioral change rather than course completion. It targets Latin American companies seeking to embed cybersecurity into daily corporate culture.

Delaware, United States · HQ
Founded 2022245K+ followers
Updated 4 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional security awareness programs treat all employees equally, sending the same training modules to the entire workforce on an annual basis. This one-size-fits-all approach fails to identify who is actually exposed to threats, leaving high-risk individuals and processes unaddressed while measuring success only through course completion rates.

Solution

Whalemate provides a human risk management platform that simulates realistic threats—including phishing, QRishing, deepfake voice attacks, vishing, and smishing—and delivers targeted training based on each user's risk profile. An AI agent prioritizes interventions using a risk score, ensuring that employees who fall for simulations receive immediate reinforcement training within minutes rather than waiting for annual policy refreshers. The platform measures real behavioral change through a dedicated index, allowing security teams to identify which individuals and processes concentrate the most risk. Whalemate also offers an analyst service that operates the program for companies lacking internal bandwidth, with a focus on the Latin American market.

Target Audience

Primary customers are security teams, CISOs, and IT administrators at Latin American companies—including banks, fintechs, and engineering firms—that need to move beyond compliance-driven training to data-driven human risk management.

Features

  • Simulates multiple threat vectors including phishing, QRishing, deepfakes, vishing, and smishing tailored to user roles and history
  • Agentic prioritization engine that assigns risk scores and determines which users need intervention without disciplinary intent
  • Immediate micro-training delivered minutes after a user falls for a simulation, reinforcing correct behavior at the moment of vulnerability
  • Role-calibrated simulations that differentiate between departments such as treasury and branch staff, avoiding identical campaigns across the organization
  • Behavioral risk index that tracks real change over time, replacing completion rate as the primary KPI
  • Managed analyst service for companies that lack dedicated security team hours to operate the program
This profile is AI-generated and may contain inaccuracies.