Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Have you ever wondered how Artificial Intelligence (AI) could mimic consciousness and autonomously control various tasks? It sounds rather daunting. However, it may not be as intimidating as it seems under the right conditions. Moreover, Would AI perform tasks independently in the same manner as humans? And what implications does this hold for cybersecurity? In the present day, we are observing the rise of self-driving cars that operate with minimal human input.

In our latest report, Snyk surveyed security and software development technologists, from top management to application developers, on how their companies had prepared for and adopted generative AI coding tools. While organizations felt ready and believed AI coding tools and AI-generated code were safe, they failed to undertake some basic steps for secure adoption. And within the ranks, those close to the code have greater doubts about AI safety than those higher up in management.

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.