Instead of replacing humans, machine learning will free up overworked IT analysts to focus on other tasks. However, the rising adoption of AI could expose companies to a new breed of insider threats.
The 2018 Cost of a Data Breach Study from Ponemon Institute reveals that the total cost, per-capita cost and average size of a data breach have all increased year over year.
In addition to protecting laptops, smartphones, tablets and IoT devices, AI-powered UEM solutions can help security leaders manage apps, content, data and user identity and access more efficiently.
As the threat landscape evolves to target connected devices, artificial intelligence (AI) and machine learning will become increasingly crucial parts of any organization's endpoint security strategy.
When the machine learning technology cyber defenders use to stop DDoS attacks inevitably falls into the hands of malicious actors, which side will win?
The advent of artificial intelligence (AI) brought with it a new set of attacks using adversarial AI. How can organizations fight an unknown enemy that's not even human?
A recent study conducted by NIST researchers found that face identification performance is optimal when insights from a human expert are combined with a top machine learning algorithm.
Researchers cited instances of fraud and malicious attacks as prime growth drivers for artificial intelligence (AI) in the cybersecurity market.
Collaborative defense connects an organization's people, processes and technology to deliver improved security through open integrations, threat intelligence sharing and digital transformation.
Artificial intelligence (AI) tools enable security teams to identify behavioral patterns that could point to insider threats more quickly.