There are a plethora of different techniques and methods that Artificial Intelligence is capable of to prevent this kind of ransomware attack. AI can learn from normal behavior patterns within a system, detect patterns or unusual behavior, and understand network traffic to draw its conclusions. Aside from behavioral analysis, anomaly detection, and network traffic analysis, AI can be leveraged within an antivirus to keep up with the rapidly changing nature of these attacks. AI is capable of this through the use of machine learning. This capability can be bolstered further with predictive analytics and automated incident responses, as the AI system can leverage historical data to accurately predict potential ransomware threats and automatically respond to them when ransomware is detected. Whether it's isolating infected systems, initiating backups, or other response actions, AI can serve as the solution hospitals have been desperately in need of.
As mentioned briefly, these techniques result from underlying technologies like natural language processing, machine learning (ML), and its subset, deep learning. These three work in tandem to understand and identify behaviors, patterns, and anomalies. Additional, equally important technologies, such as big data analytics and cloud computing can serve as pillars for ingesting, safely storing, and analyzing the data in question. Furthermore, these resources are cost-effective and can be seamlessly integrated with the aid of skilled software engineers.
Other industries have been implementing Artificial Intelligence to tackle exploitative ransomware attacks, including transportation, education, telecommunications, e-commerce, retail, and finance. Representing these industries are companies like AT&T, JPMorgan Chase, Amazon, Tesla, and Turnitin. All of these conglomerates are leveraging AI to prevent or respond to all kinds of attacks, in addition to ransomware attacks. As a result of using these technologies and techniques, these organizations are experiencing faster incident response times, reduced fraud, an improved level of threat detection, and overall fortified cybersecurity.
Additionally, the capacity AI has to differentiate between abnormal and normal behaviors with accuracy can enable security teams to focus on genuine risks while mitigating false positive alerts. Automated incident responses can streamline the processes further during a security breach, whether through isolation or initiating backup protocols. The AI-driven approach has the ability to also comply with data protection regulations, equip organizations with insights on emerging threats, and strengthen vulnerability management.
Stronger Cybersecurity for Patients Everywhere
Fundamentally, hospitals are a key part of any functioning society, and as we continue to evolve technologically and medically, the threats we face are also more complex. Looking at contemporary cyber-attacks, like the recent one that affected over 170 facilities across multiple states, new technology, specifically, AI, can be the constantly-on solution hospitals need. At the same time, an equally in-depth course of action includes experienced software developers who can seamlessly integrate AI into established platforms and systems within hospitals to foster more secure cybersecurity. Patient trust is still pivotal, and with AI safeguarding sensitive medical information, it can lead to better collective defense against ever-changing cyber risks.