Original article was published on Artificial Intelligence on Medium
The Use of Artificial Intelligence (AI) in Cyber Defense
Artificial intelligence is a scientific field that is responsible for finding solutions to complex problems that humans do not have.
Machine learning could be used to bypass and dismantle cyber-security systems faster than most prevention and detection tools can keep up. AI will exacerbate existing threats and create new ones, but its speed could prove a great boon for cybercriminals, as it is much more effective at fighting them than human experts. The algorithm is attempted to model a decision mechanism that resembles real human decision mechanisms but is modeled by algorithms.
In the context of cybersecurity, artificial intelligence (AI) tries to defend the system by weighing patterns of behavior that indicate a threat against predictive logic. Machine learning (ML) is the process by which AI learns patterns that lead to bad behavior. This happens when an AI system or neural network is tricked into incorrectly identifying or intentionally modifying the input.
In the last 12–18 months, the number of applications of artificial intelligence (AI) in cybersecurity has increased massively and shows no signs of slowing down any time soon. This is partly due to the rising costs of developing and adapting the technology as it declines. The use of artificial intelligence in cybersecurity creates new threats to digital security. While AI technology can be used to more accurately identify and stop cyberattacks, cybercriminals also use AI systems to carry out more complex attacks.
This means that artificial intelligence can be used to create more complex, adaptable, and malicious software, such as machine learning and artificial neural networks (AI).
A high-tech bridge that provides web and mobile security testing services as AI is deployed in cybersecurity. The company’s AI-based product, FortiWeb, is a web application firewall that uses machine learning and artificial neural networks (AI) to accurately detect threats. It works with human intelligence to identify other vulnerabilities and risks without returning false positives.
Vectra’s Cognito platform uses AI to detect real-time cyber attacks and how they are used in cybersecurity. Palo Alto Networks is a heavyweight when it comes to cybersecurity providers working with companies such as IBM, Cisco, Microsoft, Google, IBM Research, and many others.
Just like a new employee, the company’s Virtual Analyst Platform takes on the task of studying corporate cybersecurity protocols to make an accurate assessment. Combined with Vectra’s proprietary Cognito platform and a range of other tools and services, it automates tasks normally performed by security analysts and significantly reduces the workload required to conduct threat investigations. PatternEx, an artificially intelligent cybersecurity tool, detects patterns of malicious behavior in real-time and how it deploys AI in cybersecurity.
Spark Cognitions unveiled a new, powerful, and sophisticated anti-malware system powered by its technology called Deep Armor. The system protects the network from new and unique cyber threats by combining it with antivirus programs to find and remove malicious files. Based on the range achieved by the two components, they can be found interesting and communicate through sharing.
DarkTrace, a British company, manufactures defense systems that replicate human antibodies to automatically detect and neutralize cyber threats without human intervention. By applying learning models to the network, AI systems can be trained to test various defense strategies to minimize or stop the spread of malware during a cyber-attack by controlling the infection and eliminating the root cause.
Indeed, Darktrace has benefited from a growing interest in self-learning cyber-defense products that use artificial intelligence to detect and even respond to emerging attacks. Faced with a constant stream of threats from cybercriminals, hackers, and other malicious actors, it is almost impossible for anyone to keep up with any form of automation or artificial intelligence.
In the future, response speed will enable a faster and more efficient response to cyber attacks, enabling human experts to undertake more complex investigations. There is a reciprocal process, as analysing AI responses can enable people to improve their understanding and readiness to deal with cyber threats. When AI can observe successful responses to a cyberattack, it becomes self-healing and dynamically replicates the best defense strategies developed by human analysts.