Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In the rapidly evolving landscape of technology, the fusion of Artificial Intelligence (AI) and cybersecurity is creating both exciting opportunities and formidable challenges. The recent breakfast briefing on the historic HMS Belfast served as a critical forum for industry leaders to explore these issues in depth.

Penetration testing is a cornerstone of any mature security program and is a mature and well understood practice supported by robust methodologies, tools, and frameworks. The tactical goals of these engagements typically revolve around identification and exploitation of vulnerabilities in technology, processes, and people to gain initial, elevated, and administrative access to the target environment.

The world is quickly seeing the rise of AI powered customer service. The conversational agent chatbots enhance the customer experience but also introduce a new attack vector. Here's what you need to know about strengthening AI chatbot defenses. Many AI driven technologies have access to vast data sources and access to functions that assist users. AI chatbots can be used in many ways such as answering questions about an item in stock, help develop code, to helping users reset their password.

San Francisco, CA - Protecto, a leading innovator in data privacy and security solutions, is proud to announce the release of new capabilities designed to identify and cleanse Protected Health Information (PHI) data from structured and unstructured datasets, facilitating the creation of safe and compliant data for Generative AI (GenAI) applications. This advancement underscores Protecto's commitment to data security and compliance while empowering organizations to harness the full potential of GenAI.

When it comes to protecting personally identifiable information (PII), organizations have two main options: pseudonymization and anonymization. Both methods aim to prevent unauthorized disclosure of sensitive PII data, but they differ in their implementation, advantages, and regulatory implications. In this blog, we’ll explore the key differences between pseudonymization vs anonymization, their benefits, practical examples, and how to choose the best method for your organization’s needs.