Machine Learning Algorithms: Artificial intelligence (AI) is not only playing an increasingly important role in IT security. AI is also a possible target and tool of attack. IT security authorities for Cyber Security provide information on how machine learning algorithms can be better protected against misuse and manipulation.
According to a survey, 54 per cent of those surveyed demand help with the legal and ethical assessment of the use of AI so that AI can be promoted in their own company.
Companies see a wide range of benefits from AI. Forty-four per cent expect faster and more precise problem analyses through Artificial Intelligence, 39 per cent expect human errors to be avoided in everyday work, 21 per cent expect improvements to existing products and services, and 17 per cent even expect completely new offers thanks to AI.
However, the expectations placed on AI can only become a reality if ethical questions can be clarified, the data protection of an AI solution is proper, and the security of the AI is guaranteed. But what should security look like with AI?
A risk analysis always precedes the security concept. In addition, new technologies should not be used without being aware of the possible risks. The advantages of this emerging technology are significant, and concerns such as potential new ways of manipulation and attack methods.
Cybersecurity is one of the foundations of trustworthy artificial intelligence solutions. A common understanding of AI cybersecurity threats will be critical to the widespread adoption and acceptance of AI systems and applications.
However, the IT Security authority does not limit itself to the risk information; concrete recommendations for protecting Artificial Intelligence also come from there. They want to find and answer questions such as: How does machine learning become cyber-secure? How to prevent cyber attacks on machine learning? How is security possible without compromising the performance of Artificial Intelligence?
Artificial Intelligence security is primarily linked to data security because machine learning algorithms enable machines to learn from data to solve tasks without being explicitly programmed to do so. However, such algorithms require vast amounts of data to learn. And because they do so, they can also be exposed to specific cyber threats such as data manipulation and spying.
When securing algorithms for machine learning ( ML ); Security encounters a very complex area and a wide range of application scenarios. That is why to make it clear first of all:
It turns out that you don’t have to reinvent Security to protect AI better; a lot is already known to a company and tested elsewhere. Still, security has to be adapted to the unique features of AI, always appropriate to the respective AI application.
Also Read: Five Reasons Why You Should Consider Machine Learning
Platforms in the likes of Twitch.tv are revolutionizing the way content is consumed in this digital era of instant gratification.…
Time is of the importance in New York City's hectic urban scene, hence simplified administrative procedures are vital. Efficient systems are crucial for city agencies…
Introduction to BizGurukul: In the fast-paced world of entrepreneurship and digital marketing, sites like BizGurukul…
A giant in the vastness of the internet, Google is known for more than just…
Occasionally, a peculiar function appears in the field of technological advancement, winning over the admiration…
With xResolver, you have the option to have your IP address and Xbox gamertag removed.…