engblogs

Databricks announces its New York City R&D and Engineering hub, highlighting a talent-driven culture, world-class AI teams, and opportunities to join the team and shape the future of enterprise data and AI from NYC.

Examines how computer science and philosophy intersect to define rational AI, offering interdisciplinary tools to reason about rational agency, autonomy, and the limits of machine rationality without prescribing fixed conclusions.

A technical tracing of ShinyHunters-branded SaaS data theft expanding through vishing-based initial access, credential harvesting, and extortion across identity providers and cloud applications.

A practical, defense-first guide to protecting SaaS ecosystems from ShinyHunters-branded data theft, detailing rapid containment, hardening, logging, and phishing-resistant MFA deployments across major IdPs and platforms.

A forward-looking, technically grounded overview of the five 2026 CISO priorities, highlighting alignment of compliance and resilience, securing the AI supply chain, mastering identities, defending at machine speed, and enhancing AI governance.

Argues that CMA's proposed rules for Google fall short and that mandatory crawler separation of Googlebot by purpose is essential to empower publishers and create a fair, competitive AI-enabled search ecosystem.

GPSSL introduces Gaussian-process priors on representations to enable self-supervised learning with principled uncertainty quantification and connections to kernel PCA and VICReg, improving downstream performance.

Scale AI in South Africa by leveraging Amazon Bedrock's global cross-Region inference to run Claude 4.5 models from the Cape Town region, routing requests to capacity across Regions while maintaining data residency and centralized logging.

Demonstrates how to simplify ModelOps by using Amazon SageMaker AI Projects with S3-based templates to provision secure, versioned environments and GitHub Actions powered CI/CD.

An end-to-end guide to evaluating generative AI models using Amazon Nova LLM-as-a-Judge on SageMaker AI, enabling scalable, impartial pairwise comparisons and rich metrics such as win rates and confidence intervals across real-world benchmarks.

A pragmatic framework for implementing AI governance that preserves speed and innovation while building trust, using observability and lifecycle discipline to govern data, models, and agents.

Building vertical microfrontends on Cloudflare’s platform with a Router Worker to stitch independent Workers into a single domain, enabling end-to-end ownership per URL path via service bindings, HTML rewriting, and CSS view transitions for a seamless user experience.