At Cyble, we have observed, analyzed, and reported on the massive rise of cybercrime over the past few years. Spurred by the rapid digitization that firms had to undergo during the COVID-19 Pandemic, these attacks have increased in scale, volume, complexity, and sophistication. With Artificial Intelligence (AI) making waves in both cybercrime and cybersecurity, we at Cyble felt it necessary to share our viewpoint on AI, it’s applications and the use cases for it in a cybersecurity solution context.
The internet as we know it is a dynamic, constantly growing entity. In 2021, Eric Schmidt, CEO of Google, estimated that “the internet” is 5 Million Terabytes of data and that Google had indexed hardly 0.004%, or 200 terabytes. Even this massive chunk of data only symbolizes a fraction of the Surface Web.
Regardless of the size of the firm or its headcount, identifying and analyzing the multitude of cyberthreats is a daunting task for any human.
Enter Artificial Intelligence. AI has been used as an umbrella term for multiple types of data processing algorithms. Without being pedantic, any system that analyzes data and generates inferences without explicitly programmed rules can be generalized to be called an AI system.
Though AI is widely used across various industries ranging from Supply-Chain Logistics to Search Engine Optimization, one of the key applications of AI has become Cybersecurity Services.
The use cases for Artificial Intelligence in Cybersecurity:
- Rapid curation of threat intelligence from countless research papers, blogs, news stories, etc.
- Machine Learning can help filter, sort, and cut through the noise of constant, voluminous alerts, claims, and news to get to the meat of the matter, greatly reducing a firm’s response time to any given threat.
- Through the use of adaptive Machine learning algorithms, AI is constantly “learning”, making it even easier to sort through data and pinpoint areas where cybersecurity action/remediation is most required.
- By analyzing patterns in previously observed attacks, AI can help identify trends, operating patterns, and SOPs that can help mitigate attacks.
- 24/7 Availability – AI/ML functions can be programmed to run constantly and provide insights immediately, eliminating the need for human intervention or availability during off-hours/weekends/different time zones, etc.
- A higher volume of data can be processed by AI than by any comparable team of research analysts, allowing them to focus on adding human insights and expertise to the findings from AI.
- AI can even find unknown threats. When Threat Actors deploy attacks using multiple vectors and samples, this may be missed by a human analyst. However, AI can immediately identify and flag threats such as these.
- AI is immune from human error. Due to fatigue, complacency, or execution error, there may be misses from a Research analyst; AI is a good solution to ensure all bases are covered.
No discussion about AI would be complete without addressing the human element. While AI is poised to outright replace certain tasks and functions traditionally performed by an organization’s workforce, the true benefit of AI only comes through when it is used in concert with expert human analysts who can leverage AI insights to perform their tasks better.
This could range from automating time-consuming tasks, thereby allowing them to focus on more pressing concerns, to customizing their workflows so that AI learns from human analysts and thus supports them better.
The ideal application of AI is to elevate Human Intelligence (HUMINT), not replace it.
At Cyble, we have embraced AI in a big way across our platforms, most notably Cyble Vision, which has shown clear dividends in our ability to take on large sets of data, set up regular scanning intervals, monitor suspicious activity, and much more.
With the release of Vision 2.0, we have improved these features even further, using the vision and guidance of Uday Pulleti, Senior Director of AI at Cyble, who has extensive experience in this space.
Despite having a global footprint spanning every continent, Cyble is a relatively new player in the cybersecurity space. Through the use of AI, however, we can punch above our weight and match or exceed the offerings of several larger, older, or more established firms in the industry.
The clearest example of this is our growth trajectory. We have been able to work on further refining the quality of our Cyber Threat Intelligence to our existing clients while simultaneously expanding our global footprint as well as integrating new functionalities, launching new services, and much more.
Beenu Arora, CEO, and Co-founder of Cyble, added, “Artificial Intelligence has been a buzzword in the industry for over a decade. With advancements in AI/ML tech and the scale and sophistication of Threat Actor activities, Cyble has rapidly integrated Artificial Intelligence into its products and offerings. AI has helped us filter through the noise of the darkweb and provide timely, actionable intel to our clients and partners, empowering them with the knowledge they need to prevent, mitigate and manage any threat that they might encounter from cyberspace. Our flagship product, Vision, has seamlessly integrated AI into its core operations, streamlining our offerings. The writing on the wall is clear – AI is here to stay and will only get more sophisticated. As we continue to expand and scale across the world, AI will remain a core part of how we analyze and process threats and deliver solutions for remediation accordingly.”
Threat Actors and Artificial Intelligence
Artificial intelligence also has several use cases for Threat Actors; however, where they have leveraged AI’s capabilities to execute a variety of cyberattacks, we have covered two such cases extensively in our Cyble Research and Intelligence Blogs:
- Predictions Of Evolving Cyber Threat Landscape With The Advent Of ChatGPT And Its Limitations
- Huiying Medical Breached; Source Code For AI-Assisted COVID-19 Detection, And Experimental Data Of COVID-19 On Sale
Despite the widespread adoption of AI for various purposes, these are still the early days of realizing the full potential of Artificial Intelligence for CTI. Despite the amazing results produced by current-day AI systems, they are continuously evolving to deliver more business value, which Cyble is closely tracking and implementing.
For Cyble and our suite of offerings, a symbiotic business model that utilizes sophisticated AI systems with oversight from talented cybersecurity professionals has proven extremely effective.
To learn more about how Cyble can help enterprises leverage AI to prevent external cyber threats, request a personalized demo today.
