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Protegrity

Turning Insight into Action: Data Modernisation in Banking

Financial institutions are struggling to keep pace with technological advancements while ensuring data security and compliance with stringent regulations. Data modernisation has emerged as a critical strategy for banks to remain competitive, enhance customer experiences and fortify data security measures. In this blog post, we’ll discuss the importance of data modernisation in banking.

Australia's Cost of a Data Breach in 2024

Australia’s Data Privacy Landscape is EVOLVING QUICKLY In February 2023, the Australian government released the results of a two-year review of the 1988 Data Privacy Act. This was followed by a response in September, authored by Attorney General Mark Dreyfus, that agreed to 38 of the 116 recommendations and a further 68 ‘in principle’.

AI, Advanced Analytics, & Cloud Migration: Top Trends in Data Modernization

Let’s dive into a world where data isn’t just growing — it’s exploding — setting the stage for an AI-driven future that’s as exciting as the next sci-fi blockbuster. With innovations like ChatGPT and Neuralink pushing the boundaries of what’s possible, we’re on the precipice of a data revolution.
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Quantum computing: The data security conundrum

One of the biggest challenges of digital technology today is around security systems and data. In response to this, sophisticated algorithms have been designed to encrypt data and protect it through frameworks known as symmetric cryptography. While this has proven successful, advancements in quantum computing - which utilises quantum mechanics to solve complex problems faster than conventional computers - could potentially turn data security on its head.

Balancing Data Privacy, Regulations and Revenue in Telecom

The need to find the balance between providing a unique and tailored customer experience, ensuring data privacy, and adhering to market regulations has become more critical than ever for Communications Service Providers (CSPs). In a world where customers are more demanding, regulations are more stringent, and attacks are more sophisticated, it’s easy to see how telecom organisations deem balancing act challenging.

Data Modernisation in Telecom: From Reactive Protection to Proactive Opportunity

In our last blog, we discussed the many challenges faced by telecom organisations in this ever-changing regulatory and technical landscape. While it is clear to see the challenges the industry faces in this digital world, there’s also a unique opportunity to solve the many problems that hold them back.
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The tension between the CDO and the CISO: The balancing act of data exploitation versus protection

Data is the most valuable resource for the global enterprise. For any company wanting to remain relevant in today's competitive business landscape, data needs to be at the centre of every business decision, allowing the C-suite to review initiatives, make real-time decisions and if necessary reverse actions. A quick response fuelled by real data insights will power and improve the customer experience and product offerings while driving lower prices through better efficiency. Ultimately, this will improve the bottom line and deliver successful outcomes for many organisations.

AI and security: It is complicated but doesn't need to be

AI is growing in popularity and this trend is only set to continue. This is supported by Gartner which states that approximately 80% of enterprises will have used generative artificial intelligence (GenAI) application programming interfaces (APIs) or models by 2026. However, AI is a broad and ubiquitous term, and, in many instances, it covers a range of technologies. Nevertheless, AI presents breakthroughs in the ability to process logic differently which is attracting attention from businesses and consumers alike who are experimenting with various forms of AI today. At the same time, this technology is attracting similar attention from threat actors who are realising that it could be a weakness in a company's security while it could also be a tool that helps companies to identify these weaknesses and address them.

Pseudonymization: Replacing Sensitive PII Values to Better Protect Your Data

What is pseudonymization? It’s one of many data protection methods that allow businesses to improve their sensitive data protection across systems by replacing values with pseudonyms. Learn more about this crucial data protection method and learn more about utilizing this method to boost your business’s cyber security posture.

Data De-Identification: The Foundation of Data Protection

De-identifying data is what every data protection method is designed to do, making it the basis of effective cybersecurity. Common data fields that are de-identified by businesses would include names, birth dates, addresses and zip codes, National ID, and Social Security Numbers. By obfuscating sensitive data values through reversible and irreversible methods, your customers and patients can rest easy knowing their data can only be viewed by authorized parties.