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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
Gogs has patched a critical security zero-day flaw that can allow attackers to compromise Internet-facing instances and access any repositories (including private ones). [...]
Enabling security tooling is the starting point. Making it operational—where findings drive decisions, response times are measurable, and your security posture improves week over week—is where most organizations struggle. This blog post provides a phased maturity roadmap for organizations that have already enabled AWS Security Hub and Amazon GuardDuty. These two services form the foundation […]
This blog has previously discussed FHE for ML inference in the post Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing, but this post goes a little further. That previous post showed how to implement FHE-based inference 'from scratch' by hand-crafting a linear-regression algorithm using a low-level library called SEAL. Instead, this post shows a much more flexible and higher-level approach based on concrete-ml, a high-level library built specifi
The latest attacks, which hit 37 PyPI wheels and 19 code packages, show a continued evolution of the persistent software supply chain threat.
In this post, we cover the structure of Amazon Quick ARNs and provide a practical mental model for working with them. By the end, you can look at an ARN and immediately understand what it means for your migration strategy, diagnose permission issues faster, and design multi-tenant architectures with confidence.
We take the Falcon 9 rocket for granted. But we probably shouldn't.
Large-scale cloud platforms have reached a level of complexity — spanning multi-region Kubernetes clusters, streaming systems like Kafka, and heterogeneous data stores — that often exceeds human cognitive limits. Failures are no longer isolated events; they are emergent behaviors arising from tightly coupled systems where issues propagate across layers such as networking, orchestration, and data pipelines. Even with modern observability stacks, operators must manually correlate signals across da
As threat actors operationalize AI to accelerate attacks, they are also leveraging the wider global interest around AI itself as a social engineering lure. The post AI brands as bait: How threat actors are using the AI hype in social engineering appeared first on Microsoft Security Blog.
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