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Curated news, CVE analysis, and threat reports from the world's top cybersecurity sources.
AWS Security Hub expands to include purpose-built protection for AI workloads and security monitoring for Microsoft Azure. The service discovers and evaluates Azure resources for misconfigurations and vulnerabilities, prioritizing findings alongside AWS data.
AWS Security Hub has expanded its capabilities to include AI workload protection and multicloud support for Microsoft Azure, addressing growing customer demands. The update enables Security Hub to monitor Azure Virtual Machines, container images, Function Apps, and identities, assessing them for misconfigurations, vulnerabilities, and compliance with the CIS Microsoft Azure Foundations Benchmark.
Modern organizations no longer operate within a fixed network perimeter. Cloud services, remote work, third-party integrations, and rapid digital expansion have made the boundary between "inside" and "outside" for the enterprise increasingly difficult to define. Attackers exploit this ambiguity by scanning continuously for weaknesses across an organization's hardware, software, cloud, and internet-facing assets.
As AI agents and automated tools increasingly access web applications, distinguishing legitimate bot traffic from malicious attempts has become a critical security challenge. Traditional approaches such as IP-based filtering and reverse DNS lookups fail in multi-tenant systems (such as Amazon Bedrock AgentCore ) where thousands of distinct workloads share the same IP space.
As AI agents and automated tools increasingly access web applications, distinguishing legitimate bot traffic from malicious attempts has become a critical security challenge.
AWS WAF Bot Control introduces Web Bot Authentication (WBA) to cryptographically verify legitimate AI agent traffic. WBA uses asymmetric cryptography and IETF drafts to prevent spoofing in multi-tenant environments.