IBM developed a new AI-enabled voice assistant to respond to common questions across email, corporate contacts and calendar using natural language processing (NLP) capabilities.
IBM was named a leader in the 2018 Magic Quadrant for Unified Endpoint Management Tools report for its completeness of vision and ability to execute.
According to a new study conducted by the Ponemon Institute and sponsored by IBM, organizations could save an average of $2.5 million in operating costs by deploying artificial intelligence (AI).
As cloud adoption increases, the IT skills gap widens and the threat landscape becomes more sophisticated, innovations in SIEM technology will revolutionize the way SOCs perform security analytics.
Today's security teams lack the time, talent and resources to keep up with the rapidly evolving threat landscape. AI can automate tedious processes and take some pressure off security analysts.
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?