Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When it comes to securing your business, visibility into your company’s devices is key. As we so often say, you can’t protect what you can’t see. What’s more, visibility into your devices needs to be accurate and current – your IT security and operations teams can’t protect your environment if they’re working from data that’s hours (or days or weeks) old.

Internxt is proud to be one of the first cloud storage companies to protect business and individual data with the world’s most advanced encryption, post-quantum cryptography. Our post-quantum encryption protects your files and data from the potential threats of quantum computers that hold the power to break current encryption protocols due to their superior ability to solve complex algorithms in minutes or even seconds.

From predictive systems to the recent proliferation of generative AI-based virtual assistants such as ChatGPT, artificial intelligence has become a key driver in many sectors, and cybersecurity is no exception. The disruptive impact of GenAI has popularized AI use recently but this technology has actually been deployed for over 20 years in the security sector, serving as an additional and critical tool for proactive threat management that enhances operational efficiency.

In the hands of the right individuals, healthcare data can be of immense value. Place it in the wrong hands, however, and it can also be a significant privacy risk. PHI or Protected Health Information can contain many details that directly identify a person. These can be names, addresses, financial data, medical histories, etc.; personal identifiers that can point to specific people.

With the increasing adoption of artificial intelligence (AI) in healthcare, securing patient data has never been more critical. Protected Health Information (PHI) and Personally Identifiable Information (PII) must be safeguarded to comply with regulatory standards like HIPAA while still being usable for AI-driven analytics. Two key techniques for data security are data masking vs de-identification.

In an era where healthcare data fuels innovation, ensuring the privacy and security of Protected Health Information (PHI) remains a top priority. With the increasing adoption of AI, machine learning, and data analytics in healthcare, organizations must comply with strict privacy regulations while maintaining data utility.

Protected Health Information (PHI) contains sensitive patient details, including names, medical records, and contact information. De-identification of PHI is a critical process that enables organizations to use this data responsibly without compromising patient confidentiality. The Health Insurance Portability and Accountability Act (HIPAA) establishes strict rules to ensure the privacy and security of PHI, making de-identification essential for compliance.

Credential management means securely managing user credentials to control access to important systems and data. With growing cyber threats, it has become essential for protecting sensitive information and meeting compliance standards. In this article, we’ll explore what credential management is, why it matters, and the best practices and tools to enhance your security.