Unsupervised Learning Company Profile, Contacts & Intelligence
Unsupervised Learning Overview
Unsupervised Learning is a product, services, and media company with the mission of increasing Security and Eudaimonia on planet Earth. Products and Services include: - Continuous Attack Surface Monitoring (HELIOS) A lightweight and near-realtime service for understanding what your company owns and how it currently looks to attackers. It continuously monitors your infrastructure and alerts you when there’s a deviation from desired state. - Security Program Assessment & Prioritization (POLARIS) Looks at your business, infrastructure, workflows, and technology from an attackers perspective, and finds the most likely points of failure. The output is an attacker-focused evaluation of your current risk posture combined with prioritized list of recommendations. - Attack Database Analysis (ATTRIBUTES) - A dataset of the biggest cybersecurity incidents of the last 20 years broken down by attacker type, attacker country, attack technique used, target type, target characteristics, target size, control failure, and more. Ideal for customers looking for actual data on what’s getting companies hacked in the real world. - Unsupervised Learning (The UL Newsletter & Podcast) - A semi-weekly podcast that covers the latest in security, technology, and society. Focused on finding the models and patterns that help keep you ahead, the show includes a weekly newsletter and podcast as well as regular interviews and essays on critical ideas affecting our future.
- Headquarters
- San Francisco, California, United States
- Website
- danielmiessler.com
- Industry
- It Services And It Consulting
- Founded
- 2014
- NAICS
- Computer Systems Design and Related Services, Other Computer Related Services
Unsupervised Learning Contact Intelligence
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Unsupervised Learning People & Org Chart Preview
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Unsupervised Learning Workforce Composition
Seniority breakdown across 4 visible profiles.
Unsupervised Learning Technology & Talent
Technology-related job titles represented in the visible people data.
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