AI Configuration Best Practices to address AI Security Risks
AI usage is on the rise as many companies are adopting AI for productivity gains and creation of new business opportunities which provide value to their customers.
Productivity software can affect cybersecurity through access permissions, data handling, software updates, and the risk of phishing or misuse.
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Productivity is the efficiency with which people and security teams complete legitimate work. In an information-security context, the tag commonly covers both workplace productivity tools—such as collaboration, document-sharing, and workflow platforms—and the design of security controls that protect them without creating unnecessary friction. It may also include automation that helps analysts perform tasks such as alert triage or access reviews consistently.
These platforms are material security surfaces because they store sensitive information, expose sharing and access permissions, and often connect to third-party services through integrations or OAuth tokens. Excessive privileges, misconfigured sharing, unmanaged applications, or weak authentication can enable unauthorized access or data disclosure. Conversely, controls that are difficult to use may encourage unapproved workarounds, although this outcome is not inevitable. Practical safeguards include single sign-on with multifactor authentication, least-privilege access, governed integrations, audit logging, and clear workflows for reporting and removing compromised accounts.
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AI usage is on the rise as many companies are adopting AI for productivity gains and creation of new business opportunities which provide value to their customers.
Crafted packets from cellular devices such as mobile phones can exploit faulty state machines in the 5G core to attack cellular infrastructure. Smart devices that critical industries such as defense, utilities, and the medical sectors use for their daily operations depend on the speed, efficiency, and productivity brought by 5G. This entry describes CVE-2021-45462 as a potential use case to deploy a denial-of-service (DoS) attack to private 5G networks.
Open-source applications are a practical way to save money while keeping up with your productivity. However, this can be abused by threat actors to steal your data. Find out how one app was used to gather information of Apple users.