How much do you know about AI and Cyber Security?

The Intersection of Artificial Intelligence and Cyber Security: Threats and Opportunities

• Artificial intelligence (AI) is rapidly advancing and is expected to become a core component of modern software.
• AI technology relies on large amounts of data, and recent breakthroughs in AI development stem mostly from "machine learning."
• AI will be deployed to augment both defensive and offensive cyber operations, and new means of cyber attack will be invented to take advantage of AI technology.
• Prudent governance at the global level will be essential to ensure that this era-defining technology will bring about broadly shared safety and prosperity.
• AI can be used to automate tasks in cyber defense, such as identifying hostile activity and searching for security flaws in software.
• Hostile actors may use AI to automate spear-phishing attacks and to manipulate data sets used to train AI systems.
• The importance of data will be amplified by AI's appetite for large amounts of training data, redefining how we must think about data protection.
• Data hoovering is an emerging tactic in which hostile actors harvest whatever information they can and store it for future strategic use.
• Cyber security requires a comprehensive strategy to minimize weakest links; a piecemeal approach to cyber policy will not work.
• The training data that feeds the most important and revolutionary AI technologies is global in scope, gathered from across many different countries, hence, governance at the national level alone will not suffice.
• Policy makers will have to carefully consider how to regulate the use of AI technologies, balancing the need to keep powerful weapons out of the hands of malicious actors without stifling innovation.
• Governing institutions will need to continue to improve their security posture and adjust legal and normative frameworks to cover novel forms of attack such as data poisoning and adversarial examples.

The Intersection of Artificial Intelligence and Cyber Security: Threats and Opportunities

• Artificial intelligence (AI) is rapidly advancing and is expected to become a core component of modern software.
• AI technology relies on large amounts of data, and recent breakthroughs in AI development stem mostly from "machine learning."
• AI will be deployed to augment both defensive and offensive cyber operations, and new means of cyber attack will be invented to take advantage of AI technology.
• Prudent governance at the global level will be essential to ensure that this era-defining technology will bring about broadly shared safety and prosperity.
• AI can be used to automate tasks in cyber defense, such as identifying hostile activity and searching for security flaws in software.
• Hostile actors may use AI to automate spear-phishing attacks and to manipulate data sets used to train AI systems.
• The importance of data will be amplified by AI's appetite for large amounts of training data, redefining how we must think about data protection.
• Data hoovering is an emerging tactic in which hostile actors harvest whatever information they can and store it for future strategic use.
• Cyber security requires a comprehensive strategy to minimize weakest links; a piecemeal approach to cyber policy will not work.
• The training data that feeds the most important and revolutionary AI technologies is global in scope, gathered from across many different countries, hence, governance at the national level alone will not suffice.
• Policy makers will have to carefully consider how to regulate the use of AI technologies, balancing the need to keep powerful weapons out of the hands of malicious actors without stifling innovation.
• Governing institutions will need to continue to improve their security posture and adjust legal and normative frameworks to cover novel forms of attack such as data poisoning and adversarial examples.