Overstating the capabilities of aI as a cyber security tool could leave organizations exposed to cyber attacks however sophisticated, no single aI entity can handle the breadth of concerns necessary to act alone against the barrage of human and artificial cyber threats everyone faces, although machine learning methods contribute to the notion of artificial intelligence, capabilities can still only be compared to human intelligence along certain dimensions, of course, there are many opportunities for artificial intelligence and specifically machine learning systems to help cope with the sheer complexity of cyberspace and support effective human decision making in response to cyberattacks.
Artificial intelligence (ai) has emerged as a new, innovative approach for solving challenging problems that you encounter in practice, and as an enabler of disruptive innovations and smarter world, when it comes to improving its cybersecurity, it automatically fills the skills gap to prevent cyber-attacks, and as a rule, progress in artificial intelligence is closely related to the development of cyber threats.
You need an insight on the emerging frameworks and strategies, vulnerability issues, best practices design, securing systems and future applications, artificial intelligence, iot security and many more, with the introduction of artificial intelligence to learning organizations, machines will soon handle such manual tasks, in addition you need to know how threat intelligence, also known as cyber threat intelligence (cti), is organized, analyzed and refine information about potential or current attacks that threaten your organization.
Cyber threat hunting is the process of proactively and iteratively searching through networks to detect and isolate advanced threats that evade existing security solutions, thanks to a thriving artificial intelligence (ai) concept, companies can make devices more powerful and intelligent to serve customers in a better way, currently, machine learning is doing a good job of managing the systems that it can manage, and the industry believes artificial intelligence will be able to manage a data center completely.
Artificial intelligence and security are in many ways made for each other, and the modern approaches of machine learning seem to be arriving just in time to fill in the gaps of previous rule-based data security systems, innovation and machine learning and the threat of modification of facts to cyber security, singularly, for the first time, enterprises can now harness the power and scale of big-data security analytics and artificial intelligence, as-a-service.
AI and machine learning are powerful tools in the field of security automation, and can evolve the monitoring, prioritization and alert processes to the next generation to cut human labyour costs and speed up threat management cycle time, whether related to incident response, monitoring and detection, or governance and policy making, well-structured cyber threat intelligence functions serve stakeholders across the business.
Machine learning and artificial intelligence (ai) are being applied more broadly across industries and applications than ever before as computing power, data collection and storage capabilities increase, look for cloud-aI technology, an artificial intelligence system based on a semi-supervised learning model that can navigate and interact with the internet just like an intelligent human being.
In the first place, by combining artificial intelligence with machine learning to analyze and interpret actions and behaviors to predict attack patterns and recommend actions to stop threats in motion, technologists have devised a means to generate actionable intelligence.