As cyber security consultants, we can tell you that cyber criminals are increasingly targeting the healthcare industry for several reasons. One of the main reasons is that the healthcare industry holds a vast amount of valuable data that cyber criminals can exploit for financial gain. This data includes personal identifiable information (PII), health records, insurance information, and payment data.
The healthcare industry is also a prime target because it typically lacks the resources and expertise to maintain robust cybersecurity measures. Many healthcare organizations are underfunded and understaffed, making them vulnerable to cyber-attacks. Additionally, healthcare organizations often rely on legacy systems that are outdated and lack modern security features, making them easier targets for cyber criminals.
Another reason for the increase in cyber-attacks on the healthcare industry is the rising demand for healthcare services due to the COVID-19 pandemic. With the surge in telemedicine and remote work, there are more entry points for cyber criminals to exploit. Cyber criminals are also taking advantage of the current healthcare crisis by targeting healthcare organizations with phishing scams, ransomware attacks, and other cyber-attacks.
The healthcare industry is also a prime target for cyber-attacks because of the potential impact of a successful attack. A cyber-attack on a healthcare organization can disrupt critical healthcare services, compromise patient care, and put lives at risk. This makes healthcare organizations more likely to pay a ransom or comply with attackers’ demands, making them an attractive target for cyber criminals.
Imperva.com is a leading cybersecurity company that offers a range of solutions to help organizations protect against DDoS and other cyber-attacks.
Here are some of the ways Aliado has used Imperva to stop DDoS and other attacks on the healthcare industry:
DDoS Protection: Imperva provides a comprehensive DDoS protection solution that can help healthcare organizations mitigate the risk of a DDoS attack. Imperva’s solution leverages machine learning and behavioral analytics to detect and mitigate DDoS attacks in real-time. This helps to ensure that healthcare services remain available and accessible, even during a DDoS attack.
Web Application Firewall: Imperva’s web application firewall (WAF) can help healthcare organizations protect against common web application attacks, such as SQL injection and cross-site scripting (XSS). Imperva’s WAF uses advanced threat intelligence and machine learning to detect and block malicious traffic, while allowing legitimate traffic to pass through.
Bot Management: Imperva’s bot management solution can help healthcare organizations identify and block malicious bots that can be used in DDoS attacks or to steal patient data. Imperva’s bot management solution uses behavioral analysis to distinguish between legitimate and malicious bots and can block bot traffic in real-time.
Cloud Security: Imperva’s cloud security solution can help healthcare organizations secure their cloud-based applications and services. Imperva’s solution provides visibility and control over cloud traffic and can help organizations identify and mitigate cloud-based threats.
In addition to these solutions, we offer a range of services, such as security assessments and incident response, to help healthcare organizations develop and implement a comprehensive cybersecurity strategy. By working with Aliado, healthcare organizations can improve their cybersecurity posture and better protect against DDoS and other cyber-attacks.
the healthcare industry is a prime target for cyber criminals due to the value of the data it holds, the lack of resources and expertise to maintain robust cybersecurity measures, the increasing demand for healthcare services, and the potential impact of a successful attack. Healthcare organizations need to prioritize cybersecurity to protect patient data and ensure the integrity of critical healthcare services.
Contact us for more information, info@aliadosolutions.com
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