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Kod automatiziranog crypto tradinga uvijek sam imao isti problem: na papiru sve izgleda savršeno, ali u praksi vrlo brzo shvatiš da ti ne treba još jedan komplicirani alat — treba ti sustav koji će stvarno smanjiti količinu ručnog posla. Upravo zato mi je Profition Hrvatska preko profition-hr.org ostavio vrlo dobar prvi dojam. Ono što mi…

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The more time I spend around crypto trading, the more obvious one thing becomes: the hardest part is often not finding a strategy. It is sticking to it. You can know exactly where you want to enter. You can already have a plan for position size, stop-loss and profit targets. You can even have a…

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I have always liked the idea of automated crypto trading, but in practice I was skeptical for a long time. The problem was not automation itself. The problem was that many trading bots either felt too limited or too complicated. Some gave you almost no flexibility. Others buried everything under so many settings that using…

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For a long time, I had a fairly typical problem with crypto trading: I understood the strategy, but executing it consistently was much harder than I expected. One day I had enough time to monitor Bitcoin and Ethereum properly, while the next day I barely had any time at all. Sometimes I noticed the right…

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Cybersecurity has always been shaped by a race between the complexity of software and the amount of expert attention available to examine it. Modern applications contain millions of lines of code, large dependency graphs, cloud infrastructure, APIs, authentication systems, third-party integrations and increasingly autonomous AI components. Human security researchers can investigate these systems deeply, but…

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An AI security incident does not always begin with malware, a stolen administrator password or an exploited server. It may begin with a document containing malicious instructions, a prompt that changes an agent’s behavior, a retrieval system that exposes another tenant’s data or an AI tool that performs an action the user never intended. That…

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Launching an AI-powered SaaS platform changes the security model of the product. A conventional SaaS application already has to protect authentication, authorization, tenant isolation, APIs, sensitive data, sessions, infrastructure and business logic. Adding an LLM does not replace any of those requirements. Instead, it introduces another decision-making layer capable of processing untrusted language, retrieving private…

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AI applications increasingly depend on APIs for almost everything that makes them useful. The model may be accessed through an API endpoint. Retrieval may call another service. Agents may use APIs to read business data, create records, send messages or trigger workflows. Authentication may be handled by an identity provider, while billing, storage and monitoring…

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AI agents are changing a familiar application-security problem into a much more complex one. Traditional software generally receives a request from a user, verifies identity, checks permissions and performs a predefined operation. An AI agent can sit between those stages. It may interpret a high-level objective, retrieve data, choose tools, make several intermediate decisions and…

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Artificial intelligence is making vulnerability discovery faster, but faster discovery creates a problem that security teams cannot solve by simply adding more automation. A modern AI model can review code, identify suspicious logic, connect functions across a large repository and generate technically convincing explanations of possible vulnerabilities. The result is an enormous increase in the…

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