The MESA Security Model 2.0: A Dynamic Framework for Mitigating Stealth Data Exfiltration
Sanjeev Pratap Singh, Naveed Afzal

TL;DR
The paper introduces MESA 2.0, a dynamic security framework designed to improve detection and response to stealth data exfiltration threats, addressing limitations of traditional static security models.
Contribution
It proposes a novel, adaptable security model that emphasizes swift detection and resilience against sophisticated, covert cyber threats like data exfiltration.
Findings
Conventional defense strategies often fail against advanced threats.
The MESA 2.0 model enhances detection and response capabilities.
Dynamic security frameworks are crucial for modern cyber defense.
Abstract
The rising complexity of cyber threats calls for a comprehensive reassessment of current security frameworks in business environments. This research focuses on Stealth Data Exfiltration, a significant cyber threat characterized by covert infiltration, extended undetectability, and unauthorized dissemination of confidential data. Our findings reveal that conventional defense-in-depth strategies often fall short in combating these sophisticated threats, highlighting the immediate need for a shift in information risk management across businesses. The evolving nature of cyber threats, driven by advancements in techniques such as social engineering, multi-vector attacks, and Generative AI, underscores the need for robust, adaptable, and comprehensive security strategies. As we navigate this complex landscape, it is crucial to anticipate potential threats and continually update our defenses.…
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Taxonomy
TopicsCloud Data Security Solutions
