Aparna Achanta is a Principal Security Architect at IBM with over a decade of experience leading secure application development projects. In this article, I discuss the integration of artificial ...

Using an internally developed machine learning model trained on log data, the information security team for a French bank found it could detect three new types of data exfiltration that rules-based ...

Discover how AI-powered cybersecurity tools enhance real-time threat detection to protect organizations from evolving cyber ...

In the era of artificial intelligence, hackers are leveraging AI-driven techniques to breach even the most robust cyber protection programs. These AI-driven cyberattacks are reshaping the ...

In a constantly evolving cyberthreat landscape where firewalls and antiviruses have become old hat, organizations must adopt more technologically advanced ways to protect crucial data. Advanced ...

Here are some of the ways in which machine learning has contributed to cybersecurity: 1. Malware detection: Machine learning algorithms can analyze large volumes of data to identify patterns that are ...

Will Your Network Traffic Analysis Spot Today’s Threats? Your email has been sent Yesterday's network traffic analysis tools leave you vulnerable to new security ...

When cybersecurity measures fail, the results can be devastating and costly. In the past year, network security failures have led to downed websites, delayed flights, unavailable video games, and much ...

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