Artificial intelligence is becoming increasingly important in the field of cybersecurity. Within the cybersecurity community, artificial intelligence is a developing area of interest and investment. It has enormous potential in the field of cybersecurity. Artificial Intelligence (AI) systems can be trained to provide threat warnings, identify new types of malware, and protect critical and sensitive data for businesses if harnessed correctly.
Are you a part of an enterprise that is interested in integrating AI into your operational and cybersecurity systems? Then, you will need to first comprehend what AI can do for your organization. AI is the ultimate cybersecurity solution for today’s organizations that want to succeed online. To operate effectively and protect their organizations from cyber-attacks, security professionals require significant help from intelligent machines and innovative technology such as AI.
Artificial intelligence (AI) is already being used in a variety of applications, ranging from consumer-oriented devices to cutting-edge enterprise applications that improve everything from drug development to financial portfolio management. As a result, the information security community is becoming increasingly interested in how we can leverage AI – which includes the concepts of machine learning (ML) and deep learning (DL) – to battle cyber threats.
AI-Enhanced Cyber Security
AI has already enhanced the effectiveness and scalability of cybersecurity-related attacks like malware and spam detection, and many experts believe that ongoing innovations in AI will have a transformative impact on cyber defense capabilities. However, security professionals must acknowledge that the rise of AI gives cyber criminals a powerful chance to enhance their nefarious actions.
The threat-actor adoption of AI technology is likely to lessen barriers to entry for lower-skilled actors wishing to execute advanced malicious actions, similar to the growth of cybercrime-as-a-service offering in the underground economy. The efficiency, scalability, diffusibility, and ability of AI is amplified which can exceed human skills, says a report from the Future of Humanity Institute. It highlights the potential for AI to be utilized for both helpful and negative purposes within the cybersphere.
Encrypted Chat Services
Below listed are the potential uses of AI among cybercriminals
- Development of malware that is highly evasive
- The ability for automated systems to manifest human-like behavior during DoS attacks
- Optimization of activities such as the discovery of vulnerability and prioritization of target
The goal of intelligence is to help you decide what to do next. This course of action for defenders should be led by the risk level (likelihood x potential impact) posed by a threat. Monitoring the activity of the threat actors on deep-and-dark-web (DDW) forums, underground marketplaces, and encrypted chat services, where they share resources and discuss their tactics, techniques, and procedures (TTPs), is the best way to determine how probable a threat is to manifest.
Cobalt Strike Threat-Emulation Software
The exploitation of technology by cybercriminals is nothing new, and defenders may better anticipate and defend against changing attack tactics by obtaining visibility into adversaries’ continual efforts to develop more advanced TTPs. According to Flashpoint analysts, cybercriminals frequently abuse legitimate technologies in a variety of ways, from using pirated versions of Cobalt Strike threat-emulation software to evade server fingerprinting to using tools designed to help visually impaired or dyslexic individuals bypass CAPTCHA in order to deliver automated spam.
EMV-Chip Technology
According to Flashpoint analysts, adversaries are also adjusting their TTPs in reaction to emerging security technologies, such as the proliferation of ATM shimmers in response to EMV-chip technology. On each of these occasions, Flashpoint analysts offered customers the technical and contextual information they needed to take preemptive measures to protect their networks from TTPs.
When the abuse of AI technology escalates by the adversaries, one of the first, prompt and most telling indicators will be their activity within DDW and encrypted channels. Defenders may rest easy knowing they’re building the groundwork to be among the first to know when threat actors create new ways to abuse AI and other future technologies by establishing access to the resources needed to maintain a finger on the pulse of the cybercriminal underground.
Conclusion
Analyzing and enhancing the cybersecurity posture of the organization needs something more than mere human intervention. AI and machine learning are becoming highly significant in information security as these technologies have the capability of promptly analyzing millions of data sets and tracking down a wide range of cyber threats. These technologies are constantly learning and improving, by drawing on data from previous and current attacks to identify new types of attacks that could occur today or tomorrow. Furthermore, AI can assist in identifying and prioritizing risks, directing incident response, and detecting malware assaults before they occur. AI will aid in the advancement of cybersecurity by assisting enterprises in establishing a more robust security posture.
