Cybersecurity trends to watch for in 2021

Category: Artificial Intelligence, Cyber Security, Deep Learning, Machine Learning

“Cybersecurity is a new area where equality will exist to allow intelligence to succeed”. – Ian R. McAndrew, PhD

The advent of new technologies poses serious security threats due to increasing cybercrimes and attacks by cyber criminals. Inorder to mitigate the threats and vulnerabilities in the cybersecurity landscape businesses can embrace Artificial Intelligence in their modus operandi. Let us look at some of the key implications of AI in Cybersecurity.

AI helps in faster detection of cyber risks and augments the recovery rate in the event of any cyberthreats through analytics and integrating the data sources with threat intelligence. AI sources huge amounts of risk data through research, blogs etc and provides sharp insights about cybersecurity alerts that helps in effective surveillance and staying ahead of any potential threats by raising the standards of Cybersecurity framework. Latest technologies like Machine Learning and Deep Learning techniques help in deciphering cyber risks and provide valuable inputs related to IP addresses of fraudsters and criminals. Security analysts can make informed decisions on the malicious code based on the inputs provided by AI and this saves the time and effort required to pursue large data sets for the cybersecurity professionals.

Due to the skyrocketing costs of recovering the system from  data breaches, businesses need to be prepared to handle any advanced cyber attacks in unforeseen circumstances. Creating a multi layered security system will help in securing the network infrastructure resulting in tightened control and adherence to compliance protocol. AI powered security tools and modern firewalls helps in proactive monitoring of network traffic and identifying the malicious file. Antivirus software can be used to remove the malefic content and viruses in the network infrastructure followed by regular backup procedures for demonstrating effective resilience and disaster recovery. 

AI and Machine Learning can be used for automating threat detection and building threat modelling by leveraging on observational data indicators. Deployment of powerful AI tools like Expert systems and neural networks would help in deploying threat models for identification of cyber threats.  AI and Machine Learning helps in consolidating the knowledge with the help of data analytics for building effective threat models. Business leaders and cybersecurity professionals need to actively engage in building a strategic framework for risk and management for safeguarding any cyber attacks like data poisoning in federated learning and circumvent malicious participants.

Cyber criminals use sophisticated techniques like distributed spam distraction, phishing etc.. for digital attacks with malefic intent. Such digital attacks can take place through emails or email attachments posting false URLs for the purpose of data mining and inflicting malware into the system resulting in financial frauds through business email compromise. The Machine Learning capability in AI helps in blocking the access to malicious links by scanning the images of the fake login pages and using visual indications to establish the genuineness of the login page. AI uses behavioural analytics and secured authentication to identify any fraudulent attempts in the digital landscape. AI upgrades it’s capabilities for detecting any phishing attacks from open source intelligence and it’s identification of phishing efforts breaks all geographical barriers and boundaries.

Development and promotion of ethical guidelines for AI systems would make it more reliable by promoting a culture of transparency, data privacy and adherence to safety standards. Businesses and researchers should be open for sharing ideas related to research carried out in AI for free flow of information and exchange of new ideas. This will help in raising the bar for reaching better heights in the use of the AI in Cybersecurity through collaborative efforts and research work for countering any sophisticated cyber attacks in the future. Businesses need to identify the scope of AI in their business and ensure that adequate testing is carried out before deploying AI. This would help in unearthing any potential risks and flaws that would go unnoticed.

Conclusion

Disposition of AI in cybersecurity provides critical information about potential threats and vulnerabilities. Businesses can now manage the cyberattacks proactively and minimize their threat exposures that help in ensuring business continuity by demonstrating their resilience. AI can help in identifying gaps in the security framework by analysing the effectiveness of infosec controls. Prescriptive controls offered by AI would help in building robust controls and enhancing the quality of cybersecurity governance. At Newlineinfo Corp have a dedicated workforce and driven by our passion to provide world class service delivery to our clients and stakeholders.

Digital Transformation in Healthcare: Did the pandemic accelerate it?

Category: Business, HealthCare, Others

“Technology is not to be feared; it is only to be understood.” – Carolina Varela Rodríguez

Covid 19 continues to pose multiple challenges in the field of healthcare and the medical fraternity is struggling with the emerging trends in transforming healthcare through the digital revolution. Healthcare experts have come up with innovative ways of treating patients with the help of well-defined strategies that would deliver the much-needed succour and reinstate the confidence in people by allaying their fears. Let’s look at some of the state-of-the-art technologies that have pioneered a paradigm shift in the areas of healthcare and medicine.

Telehealth

Telehealth is a game changer, that enables active monitoring of patients by monitoring their medical condition remotely and prescribing medicines based on the evaluation carried out. Remote diagnosis & monitoring of health conditions of patients helps in improving clinical workflows & medical practice efficiency through effective patient engagement with easier accessibility. Examples of Telehealth include monitoring of vitals, blood pressure, ECG of patients and treating them remotely with the help of medicines. Continuous monitoring of health conditions with the help of digital monitoring through mobiles, computers helps in identifying any changes in critical health parameters and provides the necessary treatment and clinical support through digital imaging and telecare. Digital enablement has made healthcare more accessible and patients can get the required medical advice at ease with enhanced healthcare experience through synchronous care and otherwise.

Digital Clinical Workspaces

Digital Clinical Workspaces have made pathbreaking changes in the delivery of healthcare. This technology in healthcare helps in providing advanced and personalised care with better efficiency and turn around time. Digital workspace helps in creating a robust electronic health record about patient medical history along with their personal information. The mobility solution helps in streamlining the longer clinical workflows and helps in spending quality time with the patients that reduces the risk of readmission. Anytime, anywhere access to patients track record and medical history helps in providing seamless healthcare solutions with clinical precision. This also provides the impetus to embrace new digital technologies in the healthcare space.

Medical Chatbots

In order to sensitise and expedite healthcare processes during pandemic, Medical Chatbots have been introduced. Medical Chatbots are powered by Artificial intelligence that helps the patients in connecting with the insurance companies and healthcare providers. It also helps in resolution of queries and concerns raised by the patients by making the relevant healthcare information available to all the stakeholders concerned. Such health bots also provide real time assistance on diagnosis of symptoms and recommended treatments with therapeutic information. This also helps in quicker information sharing and accelerates the pace of decision making during a pandemic.

Data Analytical Capability

Healthcare companies need to upscale their data analytical capability in order to be future ready, in the event of any unforeseen, pandemic. Analysis of large volumes of medical data could provide pathbreaking details into identifying any patterns relating to pandemics and endemics that can offer predictive insights about tracing of contacts, medical readiness and outcomes. Artificial intelligence and Machine Learning techniques need to be imbibed for faster and accurate diagnosis of diseases and providing immediate assistance in the areas of pharmaceutical initiation, medical research and development of medicinal treatments for the control of outbreak.

Conclusion

We at Newlineinfo are committed to the wellbeing of our staff and continuously strive to provide the health care support and medical assistance required for tiding over this crisis situation with minimal impact to all our stakeholders.

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