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@laura_garcia shared a post, 2 weeks, 4 days 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, 2 weeks, 5 days 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. 

how-accurate-are-AI-detectors
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@nelly96 started using tool Winston AI , 2 weeks, 5 days ago.
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@nelly96 added a new tool Winston AI , 2 weeks, 5 days ago.
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@laura_garcia shared a post, 2 weeks, 5 days 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, 2 weeks, 6 days 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, 3 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..

chicago_cybersecurity_conference_2026_relianoid
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@varbear shared a link, 3 weeks, 1 day 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
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@varbear shared a link, 3 weeks, 1 day ago
FAUN.dev()

A Social Filesystem

The AT Protocol flips social apps inside out. Instead of locking posts and profiles inside platform silos, it treats them as files -JSON-based records, stored in your own decentralized, app-neutral repo. Everything you do - posts, follows, likes - gets logged as a signed, timestampedrecordin your pe.. read more  

A Social Filesystem
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@varbear shared a link, 3 weeks, 1 day ago
FAUN.dev()

ASCII characters are not pixels: a deep dive into ASCII rendering

A fresh take on programmatic ASCII rendering brings inhigh-dimensional shape vectors,supersampling, andcontrast tricksto keep edges crisp and animations clean. Under the hood:k-d tree nearest-neighbor lookups,vector quantization, andGPU-powered samplinghelp push sharp ASCII frames without tanking pe.. read more  

ASCII characters are not pixels: a deep dive into ASCII rendering
AIStor is an enterprise-grade, high-performance object storage platform built for modern data workloads such as AI, machine learning, analytics, and large-scale data lakes. It is designed to handle massive datasets with predictable performance, operational simplicity, and hyperscale efficiency, while remaining fully compatible with the Amazon S3 API. AIStor is offered under a commercial license as a subscription-based product.

At its core, AIStor is a software-defined, distributed object store that runs on commodity hardware or in containerized environments like Kubernetes. Rather than being limited to traditional file or block interfaces, it exposes object storage semantics that scale from petabytes to exabytes within a single namespace, enabling consistent, flat addressing of vast datasets. It is engineered to sustain very high throughput and concurrency, with examples of multi-TiB/s read performance on optimized clusters.

AIStor is optimized specifically for AI and data-intensive workloads, where throughput, low latency, and horizontal scalability are critical. It integrates broadly with modern AI and analytics tools, including frameworks such as TensorFlow, PyTorch, Spark, and Iceberg-style table engines, making it suitable as the foundational storage layer for pipelines that demand both performance and consistency.

Security and enterprise readiness are central to AIStor’s design. It includes capabilities like encryption, replication, erasure coding, identity and access controls, immutability, lifecycle management, and operational observability, which are important for mission-critical deployments that must meet compliance and data protection requirements.

AIStor is positioned as a platform that unifies diverse data workloads — from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets — within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.