Post by account_disabled on Jan 12, 2024 23:04:26 GMT -5
Can AI help with patching? Patching is a difficult project. Can AI help with the logistics of when should I patch what? How should I roll out my patch? If I have a legacy system that I can't patch because I have to run it and can't replace the equipment, can an AI system help me at least establish my defense perimeter? We think AI can help solve all of these problems. Although patching is a very challenging engineering task, artificial intelligence can help. It helps find bugs and automate vulnerability fixes. It can help decide when to roll out patches.
In legacy systems that cannot be patched, it can help improve defense coverage. Q: You have viewed cybersecurity as an arms race. How does this look in the AI-driven cybersecurity battlefield? : When you have autonomous systems, they are faster and can handle a greater volume of activity than humans. Humans are a bottleneck; we cannot handle the magnitude and speed of transactions. Therefore, due to the need for faster Email Lists Database response, we are forced to use artificial intelligence. Artificial intelligence agents will become financial high-frequency traders in network systems. There will be autonomous attack and autonomous defense deployments. Humans have general intelligence and supervisory capabilities that AI agents have yet to achieve, so they will play a key role. Coverage Download Artificial Intelligence Reinvented.
Why Extending Artificial Intelligence to Operations Download About The author is the Global Head of Tata Consultancy Services, a company founded in 2016. He spent 20 years working there, serving as head of Canada and head of the and Technology practice. is a research scientist at the MIT Computer Science and Artificial Intelligence Laboratory and a member of the MIT Computer Science and Artificial Intelligence Laboratory, where his work focuses on developing autonomous proactive cyber defenses that anticipate and adapt to counterattacks in simulations. Tags: Magazine's Fall Issue Research Feature Gives a New Look to the Dark Web By looking at cybercrime from a value chain perspective, we can better understand how the ecosystem works and find new strategies to combat cybercrime. Kerman Huang, Michael Siegel.
In legacy systems that cannot be patched, it can help improve defense coverage. Q: You have viewed cybersecurity as an arms race. How does this look in the AI-driven cybersecurity battlefield? : When you have autonomous systems, they are faster and can handle a greater volume of activity than humans. Humans are a bottleneck; we cannot handle the magnitude and speed of transactions. Therefore, due to the need for faster Email Lists Database response, we are forced to use artificial intelligence. Artificial intelligence agents will become financial high-frequency traders in network systems. There will be autonomous attack and autonomous defense deployments. Humans have general intelligence and supervisory capabilities that AI agents have yet to achieve, so they will play a key role. Coverage Download Artificial Intelligence Reinvented.
Why Extending Artificial Intelligence to Operations Download About The author is the Global Head of Tata Consultancy Services, a company founded in 2016. He spent 20 years working there, serving as head of Canada and head of the and Technology practice. is a research scientist at the MIT Computer Science and Artificial Intelligence Laboratory and a member of the MIT Computer Science and Artificial Intelligence Laboratory, where his work focuses on developing autonomous proactive cyber defenses that anticipate and adapt to counterattacks in simulations. Tags: Magazine's Fall Issue Research Feature Gives a New Look to the Dark Web By looking at cybercrime from a value chain perspective, we can better understand how the ecosystem works and find new strategies to combat cybercrime. Kerman Huang, Michael Siegel.