Artificial intelligence (AI) is a powerful tool for identifying vulnerabilities, threats and attacks in cyberspace. It uses machine learning and deep learning to recognize patterns in the network and group them together; it will then detect deviations or security incidents from the standard before responding to them. These patterns can help improve security in the future. Similar potential threats can be detected and blocked well in advance.
Unfortunately, threat actors can also use the same AI technology used for defensive purposes to violate systems. Attackers use AI-powered tools that constantly change their malware signatures to avoid detection. They also use tools that generate large amounts of malware to increase the power of their attacks. Thanks to AI, malicious actors can launch new attacks, created by analyzing the vulnerabilities of an organization using spyware. AI strives to simulate human intelligence and has immense potential in cybersecurity.
If used correctly, AI systems can be trained to generate threat alerts, identify new types of malware, and protect organizations' sensitive data. The patterns that artificial neural networks learn over time can help improve security in the future. As the name suggests, AI technology is intelligent and uses its ability to improve network security over time. In the United States, the National Security Commission on Artificial Intelligence (NSCAI) has highlighted the importance of creating reliable AI systems that can be audited through a rigorous and standardized documentation system. The result is new levels of intelligence that feed human teams in various categories of cybersecurity, such as the inventory of IT assets, exposure to threats, the effectiveness of controls, the prediction of the risk of breaches, the response to incidents and the improvement of communication about cybersecurity within the organization. Microsoft supports The Brookings Institution's artificial intelligence and emerging technology (AIET) initiative. This report from The Brookings Institution's artificial intelligence and emerging technology (AIET) initiative is part of “The Governance of AI”, a series that identifies key regulatory and governance issues related to AI and proposes policy solutions to address the complex challenges associated with emerging technologies.
In response to this unprecedented challenge, cybersecurity tools based on artificial intelligence (AI) have emerged to help information security teams reduce the risk of breaches and improve their security posture efficiently and effectively. Security professionals need strong support from intelligent machines and advanced technologies such as AI to work successfully and protect their organizations from cyber attacks. AI provides much-needed analysis and identification of threats, which cybersecurity professionals can use to reduce the risk of breaches and improve security posture. This means that part of maintaining the security of artificial intelligence is to circumvent the tradeoffs between these two different, but related, sets of risks. Advances in artificial intelligence, machine learning and intention-driven networks have brought us to the threshold where automation gives way to autonomy. Since humans can no longer scale to adequately protect the dynamic business attack surface, AI provides much-needed analysis and identification of threats which cybersecurity professionals can use to reduce the risk of breaches and improve security posture.