The Latest Issues and Challenges in Cybersecurity
Today’s cybersecurity threats are becoming increasingly sophisticated. Malware, phishing, machine learning, artificial intelligence, and even cryptocurrency are all putting data at risk.
Cloud-Based Attacks Increased
The number of cloud-based attacks by external actors has jumped 630 percent in the past two years. According to reputable sources, this increase is linked to increased use of cloud services, including collaboration tools. These attacks are intended to steal credentials and gain access to cloud accounts. The study focuses on data from all major industries and shows that cloud-based attacks are a growing threat.
Healthcare is a particularly vulnerable industry, with cloud services facilitating telehealth sessions. Cyberattacks are taking advantage of opportunistic gaps in cloud security structures and methods. Most experts say that cloud security threats have increased by 630% between January and April 2020, and businesses need to take more aggressive measures to protect themselves from these attacks. To ensure that their cloud applications are secure, businesses should implement secure access service edge solutions.
Supply Chain Attacks Are Challenging To Detect
Supply chain attacks are complicated to detect, as advanced adversaries often use new tools and techniques. Traditional methods of detection, like firewalls and intrusion detection systems, can be inaccurate and may generate too many alerts. A more sophisticated approach in the current state of cybersecurity is to use machine learning to detect patterns in millions of attacks per day. Supply chain attacks can be difficult to trace because they rely on the physical devices they target. For example, a successful compromise of popular third-party software packages could affect thousands of businesses. In addition, supply chain attacks involving software are likely to become increasingly more widespread over the coming years. Indeed, 84% of respondents predict that these attacks will become a major concern in the next three years.
Phishing Is A Never-Ending Challenge.
Phishing attacks are used to spread malware and infect a victim’s computer. These scams are carried out through email and malicious links. They aim to install malware on the victim’s device and direct them to a bogus website to steal their financial and personal information. Phishing emails can be compelling and often use basic language and poor grammar to trick people into giving them their sensitive information.
Fortunately, there are a few ways to detect phishing campaigns. Multi-factor authentication is one method that can act as a strong barrier against phishing attacks. It requires an additional step from cyber criminals, and according to Microsoft, it prevents 99.9% of account hacking attempts. However, phishing continues to pose a threat even with these methods in place. Business email compromise (BEC) attacks are another threat to companies. These involve impersonating a vendor or CEO. In some cases, the attacker will also pretend to be a financial institution to obtain information. Ultimately, this scam aims to get funds from an unsuspecting victim.
AI And Machine Learning Are Becoming A Part Of Cybersecurity.
AI and machine learning are increasingly being implemented in cybersecurity to help security teams manage a broader range of security threats. These technologies can automatically batch and analyze threats in real time and identify new and different threats. These capabilities are becoming essential in the face of growing cyber threats, which can be more complex than ever.
Machine learning and AI techniques have the potential to prevent sophisticated cyberattacks. These technologies can identify patterns and prevent similar attacks by learning from past attacks. They also help protect infrastructure by creating more effective barriers than manual systems can. AI and machine learning are increasingly becoming a part of cybersecurity, but there are still many challenges to overcome before they become indispensable tools. The main disadvantages of using AI in cybersecurity are that it is imperfect and can make mistakes. Even the best machines can be misled by attackers and make wrong predictions.