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@laura_garcia shared a post, 1 month, 1 week 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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@sancharini shared a post, 1 month, 2 weeks 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, 1 month, 2 weeks 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..

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@laura_garcia shared a post, 1 month, 2 weeks 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. ..

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@nelly96 shared a post, 1 month, 2 weeks ago
Marketing specialist, Winston AI

How Accurate Are AI Detectors? (What the Data Actually Shows in 2026)

Do you also wonder, “Are AI detectors accurate?” and think the answer is a simple yes or no? The problem lies in the expectation. AI detectors don’t work like switches. They assign a probability of the text being AI-generated. The job of an AI detector is to estimate the likelihood, not to give verdicts. 

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@nelly96 added a new tool Winston AI , 1 month, 2 weeks ago.
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@laura_garcia shared a post, 1 month, 2 weeks ago
Software Developer, RELIANOID

🌍 In case you missed it

the $26 billion losses caused by global tech outages in 2025 highlight a hard truth — our digital infrastructure is more fragile than we’d like to believe. In this article, I dive into the real impact of these failures, the key lessons for businesses, and how RELIANOID actively contributes to preven..

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@laura_garcia shared a post, 1 month, 2 weeks ago
Software Developer, RELIANOID

RELIANOID aligned with ISO/IEC 15408 (Common Criteria) principles

At RELIANOID, security is not just a feature — it’s a design principle. Our load balancing platform and organizational controls are aligned with ISO/IEC 15408 (Common Criteria), the internationally recognized framework for evaluating IT security in government and critical infrastructure environments..

ISOIEC 15408 common criteria COMPLIANCE RELIANOID
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@laura_garcia shared a post, 1 month, 2 weeks ago
Software Developer, RELIANOID

Chicago Cybersecurity Conference 2026

Chicago, USA | Jan 29, 2026 A must-attend event for CISOs and security leaders tackling today’s cyber threats. Expert insights, executive panels, up to 10 CPEs — and meetRELIANOIDsupporting secure and resilient application delivery. #Cybersecurity #CISO #FutureCon #ChicagoEvents #InfoSec #RELIANO..

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@varbear shared a link, 1 month, 2 weeks ago
FAUN.dev()

Replacing Protobuf with Rust to go 5 times faster

PgDog ditched Protobuf for raw C-to-Rust integration inpg_query.rs. The new setup usesbindgenand recursive FFI wrappers - no serialization, no handoffs. The payoff? Query parsing is 5× faster. Deparsing hit 10×. Evenpgbenchsaw a 25% bump across major ops... read more  

Replacing Protobuf with Rust to go 5 times faster
NanoClaw is an open-source personal AI agent designed to run locally on your machine while remaining small enough to fully understand and audit. Built as a lightweight alternative to larger agent frameworks, the system runs as a single Node.js process with roughly 3,900 lines of code spread across about 15 source files.

The agent integrates with messaging platforms such as WhatsApp and Telegram, allowing users to interact with their AI assistant directly through familiar chat applications. Each conversation group operates independently and maintains its own memory and execution environment.

A core design principle of NanoClaw is security through isolation. Every agent session runs inside its own container using Docker or Apple Container, ensuring that the agent can only access files and resources that are explicitly mounted. This approach relies on operating system–level sandboxing rather than application-level permission checks.

The architecture is intentionally simple: a single orchestrator process manages message queues, schedules tasks, launches containerized agents, and stores state in SQLite. Additional functionality can be added through a modular skills system, allowing users to extend capabilities without increasing the complexity of the core codebase.

By combining a minimal architecture with container-based isolation and messaging integration, NanoClaw aims to provide a transparent, customizable personal AI agent that users can run and control entirely on their own infrastructure.