Disclaimer: Even though this blog post sounds harsh, I believe the people involved in the mainframe migration of TSB in 2018 acted always in good faith and with the best of the business and customers in mind. They acted according to the best knowledge available at the...
Cybersecurity is critical for businesses in every sector in today's linked world. In a world where cyber dangers are always changing, it acts as a barrier to keep your company activities safe. Secure your reputation and keep your clients' confidence by putting strong...
Fraud has been a persistent threat to commerce and businesses, significantly undermining their financial health and adversely affecting their bottomline. In today’s fast paced world of technology and digital supremacy, the landscape of fraud is more dynamic than...
With 30% of AI-related mishaps in 2022 attributable to adversarial assaults, cybersecurity has become an important issue especially in the field of Artificial Intelligence. The continuous struggle to protect systems against malicious attacks is a huge hurdle for the...
With the threat of adversarial attacks, Generative AI has dramatically increased the abilities of cyber adversaries. Risk prediction, automatic response, and preemptive vulnerability patching are three ways AI promises to transform defences as the cybersecurity market...
The main difference between data science and business analytics is their focus and application. Data science involves the extraction, analysis, and interpretation of large datasets to gain insights and make data-driven decisions. Recent studies show an...
In today's interconnected world, cybersecurity has become a critical concern, demanding the need to identify unusual and potentially malicious activities within networks, user behaviors, and system operations. Traditional rule-based methods for anomaly detection in...
Many enterprises are either on the path of becoming data-first or already leveraging their data assets. Such a digital journey gets fuelled with data – an enormous amount of it, that is generated daily to empower such data-powered insights. But maintaining data assets...
Unsupervised log anomaly detection is a technique to detect anomalies in logs and can be more effective than supervised log anomaly detection which requires a lot of labeled data. The idea is to be able to do this from the command line interface using a pip install...
A large number of organizations have been generating and collecting data for a while now – only to realize that it does not take data assets long to convert into a liability if not treated well. Despite building the best infrastructure platform and possessing the...