Practical notes on identity and access management, AI agents, and building software that lasts.
Artificial intelligence has changed the economics of software development. For the first time in decades, the marginal cost of producing code is collapsing. A small team equipped with modern LLM tools can generate APIs, user interfaces, integration layers, and test suites in days instead of weeks. T
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Over the past few years, as a team building AI solutions in enterprise environments, we have been repeatedly asked to consult on new AI automation initiatives. These conversations rarely start with theory.They start with very concrete ambitions. We are asked to: design AI-powered voice agents integr
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KeyCloak is one of the most widely adopted enterprise identity and access management (IAM) platforms today. At Inero Software, we work with Keycloak on a daily basis — delivering Keycloak deployment, integration, and consulting services for organizations that rely on it as a core security component.
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Voicebot solutions are increasingly being adopted in call center operations as a way to reduce waiting times, lower operational costs, and improve service availability. In practice, however, successfully deploying a voice agent in a real-world business process requires far more than a properly funct
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Keycloak Deployment Auditing – General Scope and Guidelines Practical lessons from auditing multi-realm, multi-client Keycloak environments in medium and large organizations 1. Introduction In medium and large enterprises, Keycloak deployments rarely follow a simple “one realm – one application” pat
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Implementing an AI-Powered Telephony Service Center with ElevenLabs & LiveAPI Over the past year, advancements in real-time AI models and high‑fidelity speech synthesis have accelerated the development of AI-driven telephony systems. At Inero, we’ve had the opportunity to integrate modern telephony
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Secure Email Delivery in Keycloak 26.2 Using XOAUTH2 Email has been one of the oldest and most fundamental services on the internet, used for notifications, password resets, verifications, and more. Over time we’ve seen major improvements — encryption via TLS, then STARTTLS, and now many providers a
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Introduction Shipping single sign‑on quickly is tempting. Stakeholders push for a smooth login experience, developers want to move on to core features, and security teams are eager to tick the “MFA enabled” box. The trouble is that identity and access management (IAM) decisions outlive launch days.
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In the publication “Intelligent Agents in AI Really Can Work Alone. Here’s How.” by Gartner, the authors predict that by 2028, 33% of business applications will use agentic artificial intelligence, compared to less than 1% in 2024. This development will enable autonomous decision-making for up to 15
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In this post we discuss the types of costs associated with using dedicated LLMs and present example calculations for popular models (such as GPT-4, Claude, Mistral, LLaMA, etc.), including business use case scenarios.
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Artificial intelligence and Large Language Models are buzzwords heard in nearly every industry. Many companies are wondering how to use them safely and which solution will be the most effective. There are plenty of options—and they’re often hard to tell apart. In this article, we break them down in
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In this article, we’ll break down the data privacy policies of top AI platforms. You will also learn what to do to ensure your data is not used for training Large Language Models (LLM).
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