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Curated news, CVE analysis, and threat reports from the world's top cybersecurity sources.
Microsoft fixed a default configuration setting in Azure Automation that was set to public-by-default, combined with code-level flaws that collectively enabled cross-tenant takeover attacks. The vulnerability allowed an attacker in one Azure tenant to gain unauthorized access to automation accounts and resources in other tenants, potentially compromising runbooks, credentials, and automated workflows across organizational boundaries.
Microsoft addresses a public-by-default configuration and chain of code flaws in Azure Automation that could have let attackers seize another tenant's identity and access others' data, credentials, and cloud workloads.
This article discusses a security flaw in Azure Automation caused by a default configuration that allowed cross-tenant identity takeover. Attackers could exploit this to seize another tenant's identity and access their data, credentials, and cloud workloads.
The article argues that security operations should shift from tool-centric to outcome-centric, using AI skills that encapsulate expert knowledge. The ai-siem repo on GitHub provides a repository of AI skills that any team member can invoke on demand.
SentinelOne highlights a shift in cybersecurity operations, emphasizing AI-driven capabilities over traditional tools. Organizations struggle with overwhelming data from endpoints, firewalls, cloud systems, and more, requiring rare and costly human expertise to analyze.
This article argues that security operations should shift from tool-focused to outcome-focused approaches, using AI to capture expert knowledge. It highlights the problem of data overload and specialist burnout, where rare analysts are overwhelmed.