The reality of DDoS attack tactics
Cybercriminals use DDoS attacks to overwhelm networks and applications by slowing them down or taking them offline completely. Attackers often enlist the help of botnets, which consist of many servers located all over the world, to send high volumes of fake traffic to a website or server. As healthcare organizations continue to modernize their applications DDoS attacks are becoming more of a threat as they can deny providers and patients access to vital clinical information and services that could impact patient care.

Ransom
Bad actors can threaten to launch a DDoS attack unless they are paid

Distraction
DDoS attacks can be used to distract security teams as other attacks are in progress

Terrorism
State and non-state actors often use DDoS attacks on critical infrastructure sites

Vandalism
Disaffected groups or individuals might launch a DDoS attack "just because"
2022 year-over-year increase in application layer DDoS attacks
Biggest Requests per Second (rps) application layer DDoS attack blocked by Imperva in 2022
Duration of 40% of Layer 7 DDoS attacks - attacks are increasing in frequency and duration
Percent of sites hit a second time by a DDoS attack
Protecting all paths to healthcare data
Bad actors are innovative and constantly attempting to exfiltrate your data. There are many ways to access data in a modern network architecture, each with its own ingress point. Whether someone from outside your network tries to breach your perimeter defenses or an insider tries to gain unauthorized access, Imperva secures the path. With advanced DDoS/DNS protection, web application firewall, API and microservice security, runtime protection, and more, Imperva protects all paths to data.
Advanced Bot Protection
Protection from automated attacks without impacting business flow
Bad bots are targeting the healthcare sector
According to a National Cyber Awareness report from May 2020, cybersecurity agencies have been investigating large-scale password spraying attacks on global healthcare-related organizations. While other industries have been targets of Advanced Persistent Threat (APT) groups in the past, since the pandemic began there has been a marked increase in the number of password spraying attacks on healthcare organizations. These attacks are carried out by Advanced Persistent Bots (APBs) which have more sophisticated capabilities than the average bots. Being able to identify and block bad bots without impacting genuine traffic is critical for network resilience and continuous uptime. Our bot blocking technologies include:
-
Machine Learning
Imperva identifies real-time bad bot behavior across our network and feed it through our known violators database
-
Automation
Browser validation and advanced automation detection pinpoint malicious botnets hiding behind shared IP space
-
Device Fingerprints
Rate limits based on unique device fingerprints — not IPs — provide additional advanced protection