False Positives: Why Vendors Should Lower Their Rates and How We Achieved the Best Results

In pursuit of a high cyberthreat detection rate, the some developers of cybersecurity solutions neglect the subject matter of false positives, and unfairly so. Regretfully, only then does the idea dawn on these developers that high-quality protection from cyberthreats involves not only prevention but also a low false-positive rate. Continue reading False Positives: Why Vendors Should Lower Their Rates and How We Achieved the Best Results

With AI2, Machine Learning and Analysts Come Together to Impress, Part 1: An Introduction

Machine learning systems like A12 are designed to augment human analysis with cognitive intelligence, enabling IT professionals to reduce false positives.

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