We have been hearing a lot of buzz about artificial intelligence (AI) for years, but more recently, the discussion within the cybersecurity industry has centered around machine learning (ML), an approach to AI that focuses on using algorithms to sift through data, learn from it and inform action based on the analytics, such as automatically preventing an unknown threat.
Artificial Intelligence
Three Things to Consider Before Incorporating Machine Learning into Your Security Efforts
We have been hearing a lot of buzz about artificial intelligence (AI) for years, but more recently, the discussion within the cybersecurity industry has centered around machine learning (ML), an approach to AI that focuses on using algorithms to sift through data, learn from it and inform action based on the analytics, such as automatically preventing an unknown threat. The post Three Things to Consider Before Incorporating Machine Learning into Your Security Efforts appeared first on SecurityWeek.
Latest News
- TrueConf Zero-Day Exploited in Asian Government Attacks
- In Other News: ChatGPT Data Leak, Android Rootkit, Water Facility Hit by Ransomware
- Critical ShareFile Flaws Lead to Unauthenticated RCE
- Mobile Attack Surface Expands as Enterprises Lose Control
- React2Shell Exploited in Large-Scale Credential Harvesting Campaign
- T-Mobile Sets the Record Straight on Latest Data Breach Filing
- North Korean Hackers Drain $285 Million From Drift in 10 Seconds
- Critical Vulnerability in Claude Code Emerges Days After Source Leak
Publisher