Cybersecurity News

AI-backed malware and phishing: A global concern for businesses

Companies wary of AI-fuelled malware, phishing Report copy

Reputable cyber security experts are concerned about the adverse consequences of cyber security in the modern digital age. They are concerned about the negative consequences of artificial intelligence, such as malware and phishing, fueled by AI. A large chunk of business organizations uses artificial intelligence in cybersecurity defense endeavors. 

A global survey illuminates identity-related attacks, including artificial intelligence-supported malware and phishing. Business organizations expect AI-enabled tools to create cyber risk in 2025.

The survey states that 93% of Indian companies had two or more identity-related cybersecurity breaches in the previous year. Data leakage from compromised artificial intelligence prototypes, AI-equipped malware, and phishing will pose a major threat to business organizations in 2024. It expressed concerns about the growing circulation of deepfakes as general elections are on the horizon.

There are speculations regarding whether AI-fueled deepfake campaigns will be used as a tool for influencing election results. The report describes machine identity as a vulnerable cyber security risk and mischievous elements have the potential to exploit it.

The integration of artificial intelligence with cyber security has emerged as a key technology in the industry. In cyber security, artificial intelligence plays an important role in malware classification and detection. AI algorithms can be trained to identify malware attributes, including viruses, trojans, and worms. 

AI-powered tools are known for lessening cyber security breach risk and improving security effectively and effortlessly. The greatest advantage of artificial intelligence coupled with machine learning is that it can analyze trillions of events and identify different types of threats.

The unique selling point of artificial intelligence is that it can solve complex cybersecurity problems. Cybersecurity experts can use AI and machine learning as effective mechanisms. They can automate threat detection and respond more swiftly than conventional software-supported approaches. 

Artificial intelligence-backed cyber security management systems have the potential to address many of today’s cyber security issues. AI is a useful measure in various facets of cyber security, including IT asset inventory, breach risk prediction, threat exposure, and incident response. Artificial Intelligence has eventually become the required technology for augmenting cyber security initiatives.

The novel mix of artificial intelligence and machine learning propels cyber security ingeniously and brilliantly. AI technology is a self-learning ecosystem aggregating data from many information technology platforms. AI-based cyber security solutions are gaining popularityworldwided, thanks to their inventors’ innovative mentality and foresight. Artificial intelligence plays an important role in cyber security, defending online systems from cybercriminals’ attacks. 

Artificial intelligence is a recommended tool for cyber threat detection, malware identification, and protecting sensitive and confidential business data. AI in cyber security leverages the concepts of deep learning, knowledge representation, and natural language processing. Cybersecurity powered by artificial intelligence is an adjunct to cyber threat intelligence.

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ToAI Team
Fueled by a shared fascination with Artificial Intelligence, the Times Of AI journalists team brings together various researchers, writers, and analysts. We aim to provide a comprehensive knowledge of AI for a broad audience of the Times Of AI. Through in-depth analysis of the latest advancements, investigation of ethical considerations around AI development, AI governance, machine learning, data science, automation, cybersecurity, and discussions about the future impact of AI across various sectors, we aim to empower readers with the details they need to navigate this rapidly evolving field.

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