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@laura_garcia shared a post, 3 hours ago
Software Developer, RELIANOID

💡 Third-Party Vendors: The Hidden Cybersecurity Risk

In today’s hyper-connected world, digital supply chains are only as secure as their weakest link. One single vendor can open the door to ransomware, outages, or worse. At RELIANOID, we take this risk seriously. 🔒 That’s why we apply: ✅ Continuous vendor risk assessments ✅ Real-time monitoring of thi..

cropped-Blog-THIRD-PARTY-VENDOR-RISKS-RELIANOID
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@nelly96 gave 🐾 to Verification vs Validation Explained for Beginners in QA , 18 hours, 14 minutes ago.
News FAUN.dev() Team Trending
@kala shared an update, 18 hours ago
FAUN.dev()

OpenClaw - Former Moltbot, Former Clawdbot - Went Viral Overnight. Then Security Reality Hit.

OpenClaw

OpenClaw, an open-source AI assistant platform, has been launched, evolving from Clawdbot and Moltbot. It features new plugins, enhanced security, and support for new models, while addressing a major security vulnerability. The platform emphasizes community involvement and invites contributions for its development.

OpenClaw - Former Moltbot, Former Clawdbot - Went Viral Overnight. Then Security Reality Hit.
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@kala added a new tool OpenClaw , 18 hours, 49 minutes ago.
News FAUN.dev() Team
@kaptain shared an update, 19 hours ago
FAUN.dev()

Cluster API v1.12 Released: In-Place Updates and Chained Upgrades

Kubernetes

Cluster API v1.12 introduces in-place updates and chained upgrades to enhance Kubernetes cluster management. In-place updates modify existing machines without deletion, while chained upgrades streamline multi-version upgrades. The release also includes improvements to immutable rollouts and various bug fixes.

Cluster API v1.12 Released: In-Place Updates and Chained Upgrades
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@laura_garcia shared a post, 1 day, 2 hours ago
Software Developer, RELIANOID

Shield Your Core 🛡️

Cybersec Asia is coming to Bangkok on February 4–5, 2026 — the key APAC event for cybersecurity, cloud, and data protection. 🌏 Bringing together global and regional leaders to tackle evolving threats and unlock new opportunities across CLMVT & APAC. 🤝 Meet RELIANOID and discover how we deliver secur..

cybersec asia 2026 RELIANOID
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@dejones923 started using tool Python , 3 days, 12 hours ago.
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@sancharini shared a post, 3 days, 18 hours ago

Verification vs Validation Explained for Beginners in QA

Learn the difference between verification vs validation in QA. This beginner-friendly guide explains how both ensure software is built correctly and meets user expectations.

Verification vs Validation
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@laura_garcia shared a post, 4 days, 2 hours ago
Software Developer, RELIANOID

🚗🔐 Automotive Cybersecurity: Connected Cars and a Vulnerable Supply Chain

We originally published this article back in November, but it remains highly relevant today. Sharing it again in case you missed it 👇 Connected cars are no longer just mechanical machines — they are computers on wheels, embedded in complex digital ecosystems. As shown in the “Supply Chain in the aut..

Supply-Chain-in-the-Automotive-Industry_RELIANOID
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@laura_garcia shared a post, 5 days, 2 hours ago
Software Developer, RELIANOID

New Article: Emerging Cyber Threats Impacting Today’s Financial Ecosystem

Financial institutions continue to face rising cyber risks—not just from direct attacks, but from the vast networks of third-party suppliers that support their operations. Recent industry analyses reveal critical insights: Many essential vendors are far more important than organisations realise. ..

BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).