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Avoid the exploitable CVEs. Beat the odds and win big.

Most teams lose this game, because vendor dashboards and CVSS scores keep teams flying blind.

Want to play the game better?

Identify and remediate the CVEs that are truly exploitable in your environment. Empirical uses data science and AI to model exploitability based on real-world conditions, not generic scores.

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The KEV Paradox

Here's how the right approach to KEV can help your team.

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Remediation Half‑Life

Here's how rethinking MTTR can help your team.

View Research

About Us

Empirical builds rigorous, data-driven models, specifically local models tailored to individual organizations. We leverage existing open-source technology (EPSS, used by over 120 vendors today) while offering proprietary global and local models.

Compare Model Features

ALL MODELS

EPSS

Global

Local

Predictive Vulnerability
Scoring

ALL MODELS

EPSS

Global

Local

Hourly Score Updates and Enterprise Support

ALL MODELS

EPSS

Global

Local

Legacy Model Support
(EPSS v3, v4)

ALL MODELS

EPSS

Global

Local

UI and API for Data Discovery & Model Performance

GLOBAL + LOCAL MODELS

EPSS

Global

Local

Data on over 17,000 exploited in the wild CVEs

GLOBAL + LOCAL MODELS

EPSS

Global

Local

Near-Real Time Exploitation Telemetry & Model

GLOBAL + LOCAL MODELS

EPSS

Global

Local

ML model for discovering new exploit code on GitHub

GLOBAL + LOCAL MODELS

EPSS

Global

Local

All Underlying data contributing to the model exposed

LOCAL MODELS

EPSS

Global

Local

Custom Vulnerability Model based on your attack telemetry, asset data, vuln data, & threat intelligence

LOCAL MODELS

EPSS

Global

Local

Model Performance Measured against your attack telemetry

LOCAL MODELS

EPSS

Global

Local

Forward Deployed Data Science Team

How It Works

View Methodology

See how your model would differ

Try our models with your own local data and discover their impact on your cybersecurity environment.

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