Cloud Security
The rapid proliferation of generative artificial intelligence has fundamentally altered the corporate landscape, yet the underlying plumbing that connects these massive models remains dangerously exposed to sophisticated cyber threats. As organizations race to deploy AI solutions, the focus has shifted from model accuracy to operational
If self-registration is enabled on a vulnerable Harbor instance, any internet user can create an account and immediately pivot to attacking the underlying cloud infrastructure provider. This critical security oversight centers on a Server-Side Request Forgery (SSRF) vulnerability, identified as GHSA-2phj-cp9f-qq6w, which transforms a standard
Monitoring for unusual sequences of REST batch operations, such as paragraph rendering or category deletion requests, is essential for detecting early-stage TIKTOUK probes. The digital landscape is currently facing a sophisticated threat from this toolkit, which specifically targets a long-standing but often overlooked security flaw: unsecured
In a server-side encryption model, data is usually transmitted via an encrypted tunnel like HTTPS before being locked away using keys controlled by the service provider. This approach has dominated the digital landscape for years because it offers a seamless user experience where the provider manages all the technical heavy lifting, including key
Newer security platforms like Aikido focus on the developer workstation by blocking risky packages and IDE extensions directly within the CI/CD pipeline. This strategic shift highlights a broader transformation in how modern enterprises view the "endpoint," which is no longer confined to physical hardware but encompasses any entry point into a