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The National Institute of Standards and Technology (NIST) has recently released a draft version of Cybersecurity Framework (CSF) 2.0, marking the first complete update to the widely used cybersecurity guidance since its initial release nearly a decade ago. The draft update, open for public comment until November 4, 2023, reflects changes in the cybersecurity landscape…
The Importance of Career Frameworks in the Cybersecurity Sector The cybersecurity sector is facing a significant challenge in terms of the evolving roles and associated skill sets required to address the ever-changing threat landscape. This has led to discrepancies in job descriptions and difficulty for both businesses and candidates in planning their workforce and career…
Data Protection Industry Reactions to EU-US Data Privacy Framework EU-US Data Privacy Framework: A Long-Awaited Agreement After years of negotiations and legal battles, the European Union and the United States have finally reached an agreement on the Data Privacy Framework. The framework aims to ensure the secure transfer of information from Europe to the US…
API Flaw in QuickBlox Framework Exposed PII of Millions of Users An Overview A research conducted by the Claroty Team82 and Check Point Research (CPR) has revealed critical vulnerabilities in the widely used QuickBlox software development kit (SDK) and application programming interface (API) that threaten the personal information of millions of users. QuickBlox SDK and…
New MIT Framework Evaluates Side-Channel Attack Mitigations Introduction A team of researchers from the Massachusetts Institute of Technology (MIT) has developed a framework called Metior that aims to evaluate the effectiveness of side-channel mitigation schemes against data leaks. This framework provides insights into the impact of various programs, attacker techniques, and obfuscation scheme configurations on…
Google Introduces SAIF, a Framework for Secure AI Development and Use Google has launched the Secure AI Framework (SAIF), a comprehensive ecosystem designed to protect, develop and use AI systems with maximum security and efficiency. This framework offers six essential elements that focus on data governance and protection, detection and response, automation, platform level controls,…
Carnegie Mellon University Develops Framework to Reduce Privacy Risks for Consumers in Multi-Billion Dollar Location Ecosystem A new study by researchers at Carnegie Mellon University (CMU), the University of Virginia, and New York University details the use of machine learning to create and test a framework that quantifies personalized privacy risks, performs personalized data obfuscation…
The Importance of Establishing Concrete Executive Authority in Cybersecurity Risk Management Introduction Boards of directors need a sophisticated understanding of risk and must set a low risk tolerance level that is directly linked to appropriate changes to the enterprise’s risk position to mitigate cybersecurity threats. While increased cybersecurity funding is a necessary move, it is…