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Streamline SASE Operations with Skope AI-powered Cloud Orchestrator

This is the third blog in our series, where we embark on a journey of Branch Transformation with the Next Gen SASE Branch solution. Built on the Netskope One SASE platform, the Next Gen SASE Branch solution combines its three layers–Context-aware SASE Fabric, Zero Trust Hybrid Security, and a SkopeAI-powered Cloud Orchestrator–into a unified cloud offering.

Sensitive Data Discovery Tools: Best Practices for GDPR, PII, and PCI Compliance

For most companies today, the question isn’t whether a data breach will occur, but rather when it will occur. This predicament is primarily due to the sheer volume of data, the challenges associated with monitoring sensitive data, and the transition to remote work. Consequently, IT security teams are constantly navigating a dynamic and enduring risk landscape, making it exceptionally challenging to maintain data security and implement effective sensitive data protection strategies.

Enhancing Financial Solutions with Smart Payment Systems

Have you ever wondered how financial institutions are keeping up with the demands of today's digital world? Financial institutions are leading the charge by adopting innovative technologies. Among these advancements, smart payment systems are revolutionizing the financial landscape, making transactions faster, safer, and more convenient than ever before. These systems enhance user experience while streamlining operations, helping financial institutions reduce costs and improve efficiency.

Enterprise Data Protection: Solutions, Strategies, and Best Practices

Enterprise data is a tremendous asset, but did you know it could also cause great data privacy-related financial risks? The need for sturdy enterprise data protection cannot be emphasized enough. With local data privacy laws such as GDPR being strictly enforced by countries worldwide, companies are seeing heftier fines for data breaches. Companies now need to be extremely cautious about how they manage privacy risks by carefully controlling access to personal and sensitive data.

LLM Security: Leveraging OWASP's Top 10 for LLM Applications

Large Language Models (LLMs) transform how organizations process and analyze vast amounts of data. However, with their increasing capabilities comes heightened concern about LLM security. The OWASP Top 10 for LLMs offers a guideline to address these risks. Originally designed to identify common vulnerabilities in web applications, OWASP has now extended its focus to AI-driven technologies. This is essential as LLMs are prone to unique LLM vulnerabilities that traditional security measures may overlook.

PII Data Classification: Key Best Practices

PII (Personally Identifiable Information) refers to data that can directly or indirectly identify an individual, such as names, addresses, or phone numbers. Protecting PII data is critical, as exposure can result in identity theft, financial fraud, or privacy breaches. With businesses collecting vast amounts of PII, proper PII data classification has become essential to safeguarding sensitive information and complying with data protection regulations.

Not All Synthetic Data is the Same: A Framework for Generating Realistic Data

A common misconception about synthetic data is that it’s all created equally. In reality, generating synthetic data for complex, nuanced use cases — like healthcare prescription data — can be exponentially more challenging than building a dataset for weather simulations. The goal of synthetic data isn’t just to simulate but to closely approximate real-world scenarios.

Safeguarding Sensitive Information in the Age of Generative AI

Since its debut in 2022, ChatGPT has radically reshaped the way we interact with technology. Generative AI (genAI) platforms like ChatGPT, Google Gemini, and Meta AI have rapidly gained in popularity, offering capabilities that range from rewriting text to generating creative content. While these tools have created new opportunities for enhanced productivity, they’ve also introduced new security risks — particularly when users unknowingly share sensitive information.
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Is the Speed of AI Development Leaving UK SMEs Struggling to Plug Security Gaps?

Artificial Intelligence (AI) is perhaps one of the fastest evolving technologies in business today. For SMEs, it can be hard to keep up with these developments and sift through what's simply noise, and what will deliver tangible business benefits. As the UK data from our recent SME IT Trends report shows, embracing AI can help UK SMEs streamline operations, improve the admin and user experience, and stand out in a crowded marketplace. Without a doubt, choosing to ignore AI would be choosing to fall behind.

Asia's Evolving AI Regulatory Landscape: Lessons from Cybersecurity Regulation

Artificial intelligence (AI) is transforming industries across Asia, driving innovation, economic growth, and societal advancements. However, AI’s profound impact also brings significant governance challenges. As with any transformative technology, robust regulatory frameworks are essential to mitigate risks, ensure ethical use, and protect public interests. Reflecting on the evolution of cybersecurity regulation may provide insight into how AI regulation might develop.