In the ever-evolving landscape of cybersecurity, traditional antivirus software is no longer sufficient to combat the sophisticated and rapidly evolving threats. As cybercriminals become more adept at evading detection, the integration of machine learning (ML) and artificial intelligence (AI) has emerged as a game-changing approach to enhance the effectiveness of cybersecurity defenses. This is especially important as cyber attacks are rapidly increasing and evolving. For instance, it has been estimated that 560,000 new pieces of malware are detected every day, and there are now more than 1 billion malware programs circulating. This is especially true on the organization level. Depending on the size of the organization, there could be up to several hundred billion time-varying signals that need to be analyzed to accurately calculate risk. Hence, analyzing and improving cybersecurity defense is NOT a human-scale problem anymore. As a team of human experts cannot possibly address all of them. To make things worse, cybercriminals are increasingly utilizing AI to craft malicious content that are very convincing and execute sophisticated attacks. For instance, WormGPT, a black-hat-based tool has recently been launched by cybercriminals and it has the potential to conduct various social engineering attacks and Business Email Compromise (BEC) attacks, also known as whaling. Cybercriminals have long been using ChatGPT and other AI-based tools to generate malicious emails that seem legitimate to trick employees to give sensitive information. Hence, the use of AI in cybersecurity is essential in order to catch up with these malicious tactics. In this article, we will explore the role of machine learning and AI in cybersecurity and discuss why traditional antivirus solutions are becoming obsolete. The Power of Machine Learning and AI in Cybersecurity: “Time is the new currency in cybersecurity both for the defenders and the attackers” Chris McCurdy, General Manager, IBM AI and machine learning have become critical technologies in information security as they are effective tools for combating cyberattacks. It has been reported that 61% of organizations stated they will not be able to identify critical threats without AI, while 69% believe that AI is necessary to respond to cyberattacks. As we explore the power of machine learning and AI in cybersecurity, we will also frame the current pain points in cybersecurity. These pain points can be treated under the umbrella of machine learning and AI technologies.
Benefits of Machine Learning and AI Increase Speed Of Detection And Response As machine learning and AI can analyze large amounts of data in seconds. This makes them much faster than manually detecting threats, making them less time consuming. Furthermore, they can mitigate risk in near real-time, causing vast improvement in response times. This is especially important with the emergence of increasing sophisticated and ever-evolving cyber threats. From IBM’s report, security AI and automation had the biggest impact on speed of breach identification and containment for the surveyed company. Organizations that heavily utilized both AI and automation experienced a data breach lifecycle that was 108 shorter compared to organizations that did not deploy these technologies (214 days versus 322 days). Improve Accuracy And Efficiency Machine learning and AI security systems provide improved accuracy and efficiency as compared to traditional security solutions. As they are able to scan a myriad of devices and systems for potential vulnerabilities much faster than the time it would take human operators to do the same task. Additionally, they can also recognize patterns that may be difficult for the human eye to detect. This leads to a more accurate detection of potential cyber threats and malicious activities Cost Savings Machine learning and AI are cost-effective strategies as they reduce the effort and time required to detect and respond to threats. Hence, this lowers the cost of defending against cyber threats. According to Ponemon Institute, machine learning and AI can potentially save an average of more than $2.5 million in operating costs. Furthermore, they can automate tedious security tasks, freeing valuable resources to focus on other business areas. IBM’s report identified that AI and automation is the BIGGEST cost saver, with a saving of an average of US$1.76 million compared to those that had limited or no use. Improve Your Organization’s Security Posture Machine learning and AI helps strengthen cybersecurity over time as more data is analyzed and they become more proficient at identifying suspicious activities. Furthermore, they can overcome one of the security challenges: human error and negligence. Why Antivirus Solutions Are Becoming Obsolete:
Takeaway As cyber threats become increasingly sophisticated and dynamic, the integration of machine learning and AI in cybersecurity is revolutionizing the defense against these malicious activities. The power of these technologies lies in their ability to analyze vast amounts of data, detect anomalies, and respond in real-time. With their adaptive nature and predictive capabilities, machine learning and AI are reshaping the cybersecurity landscape, rendering traditional antivirus solutions obsolete. As organizations strive to protect their digital assets, embracing these advanced technologies becomes crucial for staying ahead of evolving cyber threats and ensuring robust security in the digital age. Cyber Security For Organizations with TAFA With the current cyber environment, organizations are facing increasingly sophisticated cyber threats. To protect against these threats, it is necessary to utilize cybersecurity solutions that can prevent zero-day and advanced cyber threats and help ensure regulatory compliance. With our prevention first and zero-trust approach to security using machine learning (ML) and artificial intelligence (AI), TAFA Shield will strengthen your company's ability to prevent and block cyber attacks and threats. To learn more information about TAFA Shield and how we can help your company, do not hesitate to contact us for more information. Related Topics Cybersecurity Wake-Up Call: The Skyrocketing Breach Costs of 2023 At All-Time High Ransomware Payments Skyrocket in 2023: The Unprecedented Surge and its Implications7 Types of Cyber Security Measures SMEs Need to Protect Their Business The Common Signs Of Being Cyberattacked Comments are closed.
|
Archives
June 2024
Categories
All
|
© 2021, TAFA HOLDINGS (S) PTE LTD. ALL RIGHTS RESERVED
|