AI’s Instant Effect on Programming, Cybersecurity, and Industry
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AI’s Instant Effect on Programming, Cybersecurity, and Industry

Artificial intelligence (AI) instantly changed programming, cybersecurity, and other industries, and the impact will only continue to grow. From making programming more efficient to improving cybersecurity measures, AI is transforming how we work and protect our digital lives. But cybersecurity experts and computer scientists can compete with someone who has no prior technological experience by entering parameters into artificial intelligence. The only need would be an understanding of the system or program’s architecture feasible. The technology knowing included and said to the AI. The world is still unprepared for the economic change that artificial intelligence has the potential to cause. We have entered a new world where we will have to ensure the data teaching these bits of intelligence the right things and not overloading them with what caused previous implementations of Natural Language Processing Bots to want to eliminate humanity.??

Machine learning algorithms can analyze vast amounts of data and identify patterns, allowing them to make predictions and decisions. Furthermore, AI can identify bugs and other issues in code, making it easier to spot and mitigate problems before they become critical. AI will enable programmers to automate repetitive tasks and spend more time on complex projects. To test my programming change theorem, I used ChatGPT. The experiment took a four-year-long project that I worked on for the Supreme Court and completed in just over eight hours.? My experiment was a project with an AngularJS / React Front End, Node Middleware, and Backend connected to an Oracle Database. Redis is being used with JWTs to allow the database to maintain connectivity and ensure unauthorized access does not occur properly.

Another way that Artificial Intelligence will change programming is through natural language processing (NLP). This technology is a branch of machine learning and AI that focuses on enabling computers to understand and respond to human language. Artificial Intelligence and Machine Learning benefit programming, as it allows developers to use natural language to interact with their code, making it easier to work, automate tasks, and write secure and efficient code. AI, in addition to changing programming, has a significant impact on cybersecurity. One of the primary ways that AI is improving cybersecurity is by using machine learning algorithms to identify and prevent cyberattacks. These algorithms can analyze network traffic and logs in real-time and detect anomalies, allowing them to identify and stop attacks before they cause significant harm.

AI is also being used to improve the efficiency of security operations centers (SOCs). SOCs are responsible for monitoring and responding to cybersecurity threats, but with the increasing number of attacks, it can be difficult for human analysts to keep up. By using AI to automate routine tasks and identify threats, SOCs can be more effective and efficient, allowing them to respond to threats more quickly and effectively.

Finally, AI is also being used to improve software and hardware security. AI can also improve safety by detecting and preventing unauthorized security threats. For example, researchers and APT Groups use AI to identify and create applications to exploit or mitigate vulnerabilities in code.? Before or after exploits occur, protective services use the flaws exposed in previous attacks to help protect against further instances with AI monitoring the network.

AI profoundly impacts many aspects of modern computing, including, but not limited to, programming and cybersecurity, and its influence will only continue to grow. By making programming more efficient and improving cybersecurity measures, AI is transforming the way we work and protect our digital lives. As AI continues to evolve, it will likely bring about even more exciting and innovative changes in these fields. So I leave you with this question: if Artificial Intelligence, what are your thoughts in regard to the future? Please comment with your response!

Filipi Pires

Head of Identity Threat Labs & Global Product Advocate at senhasegura | Red Team Village Director | AWS Community Builder | Snyk Ambassador | Speaker | Writer

2 年

??????????

Shlomi Ron

Chief Marketing Officer at Decision Advantage AI | Keynote Speaker | Author | Adjunct Professor

2 年

My basic premise is that it would be hard “to fight fire with fire.” Currently, we see the challenges of ai detection tools. Sophistication on both camps will only increase with yet unclear outcomes.

Chuck Brooks

Named "Top Tech Person To Follow" by LinkedIn, Voted "Cybersecurity Person of the Year" Cited Top 10 Global Tech & Cyber Expert & Influencer, Georgetown U Prof, 2X Presidential Appointee, FORBES Writer, 123k LI Followers

2 年

Excellent insights!

Aaron Lax

Info Systems Coordinator, Technologist and Futurist, Thinkers360 Thought Leader and CSI Group Founder. Manage The Intelligence Community and The Dept of Homeland Security LinkedIn Groups. Advisor

2 年

Thinkers360 and Yessenia Sembergman thanks, OpenAI we should talk.

Aaron Lax

Info Systems Coordinator, Technologist and Futurist, Thinkers360 Thought Leader and CSI Group Founder. Manage The Intelligence Community and The Dept of Homeland Security LinkedIn Groups. Advisor

2 年

Thanks Angelique "Q" Napoleon and apl

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