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Összefoglalás.  A mesterséges intelligencia az elmúlt években hatalmasfejlődésen ment keresztül, melynek köszönhetően ma már rengeteg különbözőszakterületen megtalálható valamilyen formában, rengeteg kutatás szerves részévévált. Ez leginkább az egyre inkább fejlődő tanulóalgoritmusoknak, illetve a Big Datakörnyezetnek köszönhető, mely óriási mennyiségű tanítóadatot képes szolgáltatni. A cikk célja, hogy összefoglalja a technológia jelenlegi állapotát. Ismertetésrekerül a mesterséges intelligencia történelme, az alkalmazási területek egy nagyobbrésze, melyek központi eleme a mesterséges intelligencia. Ezek mellett rámutat amesterséges intelligencia különböző biztonsági réseire, illetve a kiberbiztonságterületén való felhasználhatóságra. A cikk a jelenlegi mesterséges intelligenciaalkalmazások egy szeletét mutatja be, melyek jól illusztrálják a széles felhasználásiterületet. Summary.  In the past years artificial intelligence has seen severalimprovements, which drove its usage to grow in various different areas and became thefocus of many researches. This can be attributed to improvements made in the learningalgorithms and Big Data techniques, which can provide tremendous amount oftraining. The goal of this paper is to summarize the current state of artificial intelligence.We present its history, introduce the terminology used, and show technological areasusing artificial intelligence as a core part of their applications. The paper alsointroduces the security concerns related to artificial intelligence solutions butalso highlights how the technology can be used to enhance security in differentapplications. Finally, we present future opportunities and possible improvements. Thepaper shows some general artificial intelligence applications that demonstrate thewide range usage of the technology. Many applications are built around artificial intelligence technologies and there aremany services that a developer can use to achieve intelligent behavior. Thefoundation of different approaches is a well-designed learning algorithm, while thekey to every learning algorithm is the quality of the data set that is used duringthe learning phase. There are applications that focus on image processing like facedetection or other gesture detection to identify a person. Other solutions comparesignatures while others are for object or plate number detection (for example theautomatic parking system of an office building). Artificial intelligence and accuratedata handling can be also used for anomaly detection in a real time system. Forexample, there are ongoing researches for anomaly detection at the ZalaZoneautonomous car test field based on the collected sensor data. There are also moregeneral applications like user profiling and automatic content recommendation byusing behavior analysis techniques. However, the artificial intelligence technology also has security risks needed to beeliminated before applying an application publicly. One concern is the generation offake contents. These must be detected with other algorithms that focus on small butnoticeable differences. It is also essential to protect the data which is used by thelearning algorithm and protect the logic flow of the solution. Network security canhelp to protect these applications. Artificial intelligence can also help strengthen the security of a solution as it isable to detect network anomalies and signs of a security issue. Therefore, thetechnology is widely used in IT security to prevent different type of attacks. As different BigData technologies, computational power, and storage capacity increaseover time, there is space for improved artificial intelligence solution that canlearn from large and real time data sets. The advancements in sensors can also helpto give more precise data for different solutions. Finally, advanced natural languageprocessing can help with communication between humans and computer basedsolutions.

Alkalmazott mesterséges intelligencia felhasználási területei és biztonsági kérdései – Mesterséges intelligencia a gyakorlatban