This blog has been written by an independent guest blogger.
Since its advent, the debate over its ethical and unethical use of AI has been ongoing. From movies to discussions and research, the likely adversarial impact AI has had over the world has been a constant cause of concern for every privacy and security-conscious person out there.
AI indeed plays a core role in the modern milestones the world has achieved nowadays. Nevertheless, despite graphic movies like I-Robot splaying out the potential damages of integrating AI into normal functions of life, AI has continued to grow rapidly. Its roots and impacts are evident in every sphere of life, be it medical, technological, educational, or industrial sectors. Its flipside that everyone has long since been dreading is rapidly starting to take form.
The emergence of AI-based attacks
AI-based attacks are still relatively rare, but according to a survey by Forrester, 88% of security experts believe that these AI-powered attacks will become more common in recent years. For now, some of the most prevalent AI-based cyber-attacks that have surfaced are as follows:
- AI manipulation or data poisoning
For a long time, AI manipulation or data poisoning has become the typical type of AI-based cyber-attack. It is an adversarial attack that features hackers implementing data poisoning on trained AI models forcing them to become malicious. Nowadays, the use of AI is prevalent in almost every organization. AI tools play an essential part in data storage and analysis along with protection from various cyber-attacks such as malware or phishing. Such tools that are designed to automate tasks, but may enable threat protection to become a target of data poisoning.
Since the AI works by observing behavior patterns and pre-fed information, a hacker can easily remove the pre-fed information and feed the AI tool with malicious data. Such an act can cause an adversarial impact. For example, hackers can manipulate a phishing tool designed to detect and delete phishing emails into accepting them within its users’ inboxes. One common example of data poisoning attacks is AI-manipulated deepfakes that have taken the social media platform by storm.
- AI-based social engineering attacks
Since AI is designed to develop principles and tasks typically associated with human cognition, cybercriminals can exploit it for several nefarious purposes, such as enhancing social engineering attacks. AI works by trying to identify and replicate anomalies in human behavior, making them a convenient tool to persuade users into undermining systems and handing over confidential information. Apart from that, during the reconnaissance phase of an attack, AI can be used to study the target by scouring social media and various databases.
AI can find out the behavioral patterns of the target, such as the language they use, their interests, and what topics they usually talk about. The information collected can be used to create a successful spear phishing or BEC attack.
Another significant advantage cyber criminals have in using AI-based attacks is automation. AI tools can significantly endanger endpoint security by automating intrusion detection techniques and launching attacks at unprecedented speeds. Moreover, AI can also scour target networks, computers, and applications for possible vulnerabilities and loopholes that hackers can exploit. Apart from that, automation allows cybercriminals to launch significantly larger attack campaigns.
With AI automating most of their work, such as vulnerability assessment and data analysis, cybercriminals now have the leverage to target more companies and organizations and thus increase their overall attack surface. AI automation was evident in the TaskRabbit attack, which featured the use of massive zombies controlled by AI to launch DDoS attacks on TaskRabbit servers. The online freelance platform had the personal information such as credit card and banking details of 3.75million website users stolen from their database.
How to ensure cybersecurity
AI is a powerful tool that with rapid development occurring each passing day. Since it plays a significant role in how the world runs today, completely avoiding AI-based tools is downright impossible. However, with every form of cyber-attack, there can be some serious security measures that organizations can take to improve their cybersecurity posture.
Like defending against any other cyber-attack, the most efficient way of ensuring cybersecurity for any organization is to strengthen its defense system—using technical tools such as vulnerability assessment. Threat hunting and penetration testing can help organizations remain secure in the long run. These methods can help organizations identify their weaknesses, allowing them the leverage to patch them timely and thus ensure security.
Apart from that, another crucial step toward cybersecurity that organizations can take is to ensure proper training and awareness. Since cybersecurity is an area that is continuing to grow rapidly, the masses need adequate understanding and training to ensure relevant security. Organizations deploying practical training and education programs for their employees can help them identify the tell-tale signs of various cyber-attacks such as malware pushing or invasion and alert the security teams on time.
Moreover, despite having state-of-the-art, AI-powered security tools and systems, organizations must maintain regular security check-ups of these tools. It is crucial that these AI tools go through regular maintenance to ensure there are no vulnerabilities that hackers can exploit. The security teams that have designed these products also need to release routine security patches to patch possible vulnerabilities in the system.
AI is undergoing rapid development. However, its growth will get stunted if its adversarial impact is not recognized and given the attention it requires. For proper use and implementation of AI technology, it is downright crucial to acknowledge the potential downsides it can pose so that there can be appropriate measures against them, as cybercriminals are getting more sophisticated with each passing day.
The cyber threat landscape is now a thriving hub of criminal activity and demands the use of equally sophisticated cybersecurity measures to ensure robust security. Amidst this, it is crucial to scale and adequately analyze any new technology such as AI that is now being developed so that its potential downsides can be recognized and met with proper security measures.