Security News > 2020 > April > Threat detection and the evolution of AI-powered security solutions

Countering cyber-threats is a constant game of cat and mouse and hackers always want to get the maximum reward from the minimum effort, tweaking known attack methods as soon as these are detected by the AI. CTOs therefore need to make sure that the AI system is routinely exercised and fed new data and that the algorithms are trained to understand the new data.
AI is based on heuristics whereas machine learning requires a lot of data and algorithms that must be trained to learn the data and provide insights that will help to make decisions.
Due to the rapid rise of the amount of data out there, and with the growing number of threat businesses now face, AI and machine learning will play an increasingly important role for those that embrace it.
AI will always need that human intelligence to provide the context of the data that it is evaluating and has flagged as potentially malicious.
Know the "Where" and the "What" of your data - Prior to implementing any long-term security strategy, CISOs must first conduct a data sweep.
News URL
http://feedproxy.google.com/~r/HelpNetSecurity/~3/Db9g1XUi2cc/
Related news
- AI threats and workforce shortages put pressure on security leaders (source)
- AI and Security - A New Puzzle to Figure Out (source)
- Inconsistent security strategies fuel third-party threats (source)
- Google Chrome's AI-powered security feature rolls out to everyone (source)
- CrowdStrike Security Report: Generative AI Powers Social Engineering Attacks (source)
- Innovation vs. security: Managing shadow AI risks (source)
- How AI and automation are reshaping security leadership (source)
- 5 Identity Threat Detection & Response Must-Haves for Super SaaS Security (source)
- Enterprises walk a tightrope between AI innovation and security (source)
- AI agents swarm Microsoft Security Copilot (source)