The company explained how much neural networks have overtaken the capabilities of modern threat analysis.
The VirusTotal presented a new study that actively examines the possibilities of using large language models, including neural networks, to detect and automatically analyze malicious code. This will help save experts ' time by focusing their efforts on the most dangerous cyber threats.
The VirusTotal report shows how information security professionals can use artificial intelligence to improve malware analysis. In the study, VirusTotal found that AI is extremely effective at analyzing malicious code, detecting 70% more malicious scenarios than traditional tools.
The researchers also noticed that AI was 300% more accurate than traditional methods of detecting malicious script attempts to attack a device using a known vulnerability or exploit. The results are part of the company's report, in which VirusTotal analyzed hundreds of thousands of malware samples over 6 months.
This is especially true against the background of the EU's stated shortage of almost 200,000 specialists in the field of cybersecurity. Malware analysis requires a high level of expertise and is currently only available to large companies.
Google said the published research shows how AI can help make malware analysis faster, more accurate, and more accessible to those without highly specialized knowledge or experience, which in turn increases the level of protection available to organizations across Europe. AI tools are able to explain to analytics in simple language whether the code is malicious and what it is intended for.
One of the biggest challenges associated with the use of generative AI by attackers is the possibility that it can be used to easily create malware.
Many cybersecurity experts acknowledge that AI can be used to create highly effective social engineering campaigns, but questions still remain as to whether it is being used to write malware.
However, VirusTotal could not find any proof that the malware is created by artificial intelligence. It is noted that the future is moving in a direction in which ransomware groups will inevitably rely more on AI tools to improve their operational performance.
The VirusTotal presented a new study that actively examines the possibilities of using large language models, including neural networks, to detect and automatically analyze malicious code. This will help save experts ' time by focusing their efforts on the most dangerous cyber threats.
The VirusTotal report shows how information security professionals can use artificial intelligence to improve malware analysis. In the study, VirusTotal found that AI is extremely effective at analyzing malicious code, detecting 70% more malicious scenarios than traditional tools.
The researchers also noticed that AI was 300% more accurate than traditional methods of detecting malicious script attempts to attack a device using a known vulnerability or exploit. The results are part of the company's report, in which VirusTotal analyzed hundreds of thousands of malware samples over 6 months.
This is especially true against the background of the EU's stated shortage of almost 200,000 specialists in the field of cybersecurity. Malware analysis requires a high level of expertise and is currently only available to large companies.
Google said the published research shows how AI can help make malware analysis faster, more accurate, and more accessible to those without highly specialized knowledge or experience, which in turn increases the level of protection available to organizations across Europe. AI tools are able to explain to analytics in simple language whether the code is malicious and what it is intended for.
One of the biggest challenges associated with the use of generative AI by attackers is the possibility that it can be used to easily create malware.
Many cybersecurity experts acknowledge that AI can be used to create highly effective social engineering campaigns, but questions still remain as to whether it is being used to write malware.
However, VirusTotal could not find any proof that the malware is created by artificial intelligence. It is noted that the future is moving in a direction in which ransomware groups will inevitably rely more on AI tools to improve their operational performance.
