CYBER DECEPTION: Impact to Cybersecurity and the Application of Machine Learning Tools
Cyber deception is a relatively new approach to cybersecurity that involves creating fake digital assets, such as fake websites or decoy data, to mislead and deter cyber attackers. The goal of cyber deception is to make it more difficult for attackers to locate and compromise valuable assets and to make it easier for organizations to detect and respond to cyber threats.
In the next five years, we can expect cyber deception techniques and technologies to continue to grow and evolve. This is partly due to the increasing complexity and sophistication of cyber threats and the growing recognition of the importance of proactive cyber defense measures.
One of the key benefits of cyber deception is that it allows organizations to take a more proactive approach to cybersecurity. Rather than simply reacting to cyber attacks after they have occurred, organizations can use cyber deception to create a sort of “digital trap” that lures attackers into a false sense of security while simultaneously alerting the organization to the presence of a potential threat.
One area where we can expect to see significant growth in the use of cyber deception is the application of machine learning tools. Machine learning algorithms are increasingly used to analyze and interpret vast amounts of data in real-time. This capability is particularly useful for detecting and responding to cyber threats. By using machine learning algorithms to analyze the behavior of cyber attackers, organizations can more accurately identify and respond to potential threats. They can use cyber deception techniques to mislead and deter attackers from targeting their systems.
Another area where we can expect to see cyber deception’s growth is the development of automated response systems. These systems are designed to automatically detect and respond to cyber threats, using a combination of machine learning algorithms and predetermined response protocols. By automating the response to cyber threats, organizations can reduce their reliance on human analysts and responders and more quickly and effectively respond to threats as they arise.
Overall, it is clear that cyber deception will play a vital role in the future of cybersecurity. By creating fake digital assets and using machine learning tools to detect and respond to threats, organizations can take a proactive approach to cybersecurity and better protect their systems and assets from cyber-attacks.
Cyber-Ethics and Technology in the Age of Predictive Analysis
Ms. Columbus has worked in the Intelligence Community (IC) for over 20 years. She retired from the US Air Force in 2014 after working as a  Senior Advisor providing authoritative advice on all aspects of Cyberspace operations, force structure and organizational concepts. She oversaw strategic support activities to enable the right mix of cyber capabilities for future operations.
