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Inspector83x is a powerful 2D vision sensor designed to simplify and enhance quality control tasks, including anomaly detection. Utilizing advanced AI algorithms it is capable of p...
Choosing the threshold of an alert policy can be a headache. You have to analyze historical data, aggregate it into semantically meaningful time series, and choose a threshold that...
Move beyond traditional ABAP validations. Learn how to architect intelligent SAP systems that detect hidden anomalies in real-time.Continue reading on Medium »
This post establishes a reusable pattern for operational workloads that genuinely move the needle: fraud detection...
The Manage platform examines all claims across every payer in a health system’s contract, identifying behavior patterns and synthesizing complex data.
Advanced persistent threats are characterized by determined, well-resourced adversaries that pursue objectives over extended periods, adapt to defensive pressure, and work to maint...
If you're building LLM agents with LangGraph or the OpenAI Agents SDK, your architecture might already be vulnerable — and no runtime tool will catch it before you ship. The Proble...
Your chaos experiments passed. Your RAG pipeline is lying to you anyway. I've watched this play out more times than I'd like to admit. A team runs a thorough chaos suite, including...
One of Anthropic’s AI models identified vulnerabilities in highly sensitive, classified US government computer systems during a testing exercise, a US official has told the Associa...
If a signal fires and you don’t know what to do, you don’t have a monitoring system. You have noise.Continue reading on Medium »
Here is what a production cascade looks like when nobody did anything wrong. An alert fires on a microservice showing elevated latency. The signal is accurate. The automated remedi...
Artificial intelligence improves cybersecurity threat detection by analysing large volumes of security data, spotting suspicious behaviour, detecting anomalies in real time, and he...
Part 6 of a series on building reliable AI systems In the previous parts of this series, we explored: Testing AI systems Evaluation pipelines RAG evaluation Agent reliability...
The Fundamental Problem: Signal Is Infinitesimal Compared to Noise Modern cloud systems operate at a scale where traditional data processing assumptions begin to break down. In lar...
<p>This week, we&#8217;re seeing a pattern emerge across the industry when it comes to AI. Anthropic is dealing with restrictions</p>
Big, distributed computing systems seldom have visible failures. Most of them start without any bang, frequently with a health-check disconnection, a failed TCP connection or a ser...
When two of the most advanced AI labs in the world bet on AI-powered vulnerability discovery in the same month, that’s not a trend. It’s a tipping point. Last month, Anthropic unve...
The scary 2026 stat isn't the 340% surge in prompt injection or the 88% of orgs reporting agent incidents (OWASP-linked, Beam AI). It's this: the leak is often not in the answer yo...
In this post, we explore Razorpay’s anomaly detection and alerting platform (ADA) architecture using Amazon Managed Streaming for Apache Kafka (Amazon MSK) and other AWS services....
The 3:00 AM Incident That Changed Everything It was a Tuesday morning when the alerts started firing. Our recommendation engine, the one that drives 30% of our revenue, had tanke...
We keep adding new AI capabilities to Redgate Monitor, where it makes sense. Check out this new feature we’ve added for alerts. This is a great addition to help... The post Monday...
In the past two years, businesses have been trying to fit large language models (LLMs) into support, analytics, development, and internal automation like never before. Along with t...
Outliers can easily ruin the performance of any predictive analysis models you build: robustly detecting and handling them is crucial in any data project. This article lists and co...
Analyzing Salesforce Event Monitoring to detect deviations from usual user and non-human behavior.
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