Tag: Machine Learning

Now that you've identified an AI solution and selected a suitable algorithm for your machine learning model, you're ready to measure the effectiveness of your security classifier.

Chief information security officers (CISOs) are looking for ways to set the tone for the year and have more engaged conversations with top leadership regarding cybersecurity risks.

Threat actors will soon gain access to artificial intelligence (AI) tools that will enable them to defeat multiple kinds of authentication systems, even biometric security.

While many CISOs are tempted to invest in as many new technologies as they can find to fight emerging threats, less is more when it comes to minimizing cybersecurity complexity.

Not sure where to distribute IT budgets for ideal returns? Here's a roundup of the top 10 cybersecurity conference trips to make time for this year.

Armed with security analytics tools, organizations can benefit from big data capabilities to analyze data and enhance detection with proactive alerts about potential malicious activity.

In its raw form, log data is almost impossible for a human to process, so advanced SIEM solutions conduct a process called event normalization to deliver a homogeneous view.

The evolution of users, devices and regulatory mandates has created a need for a new identity and access management framework. These nine use cases demonstrate the value of silent security solutions.

During the recent IBM Resilient year-end webinar, expert panelists discussed and debated the trends that defined 2018 and offered cybersecurity predictions on what the industry can expect in 2019.

When used as part of the software development process, machine learning can help identify vulnerabilities before threat actors have a chance to exploit them.