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AI Sentinels: Protecting Against Cyber Intrusions in Real-Time

EasyChair Preprint no. 13299

10 pagesDate: May 16, 2024


As cyber threats become increasingly sophisticated and pervasive, the need for real-time protection against intrusions is paramount. This abstract delves into the role of AI Sentinels in cybersecurity, highlighting their capability to proactively detect and mitigate cyber intrusions as they occur. AI Sentinels represent a cutting-edge approach to cybersecurity, leveraging artificial intelligence to analyze vast streams of data and identify anomalous activities indicative of potential intrusions. By continuously monitoring network traffic and system behavior, these AI-powered systems can detect and respond to threats in real-time, significantly reducing the risk of successful cyber-attacks. Moreover, AI Sentinels offer adaptive defense mechanisms that evolve alongside emerging threats, ensuring robust protection against evolving attack vectors. By combining advanced algorithms with machine learning capabilities, AI Sentinels can anticipate and adapt to new threats, thereby enhancing overall cybersecurity resilience. AI Sentinels play a crucial role in protecting against cyber intrusions in real-time, offering organizations proactive and adaptive defense mechanisms to safeguard their digital assets. By leveraging AI technologies, organizations can bolster their cybersecurity posture and mitigate the ever-present threat of cyber-attacks in todays rapidly evolving digital landscape.

Keyphrases: in, Real, time

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Kurez Nick and Julia Anderson},
  title = {AI Sentinels: Protecting Against Cyber Intrusions in Real-Time},
  howpublished = {EasyChair Preprint no. 13299},

  year = {EasyChair, 2024}}
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