Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For the security team at Udemy, AI in workflow automation provides an opportunity to unlock new time savings while keeping their organization secure, and protecting their online learning and teaching marketplace of 62 million users. But like all good security teams, they don’t want to sacrifice data security or privacy. AI in Tines, which is secure and private by design, provides that all-important layer of control - data never leaves the region, travels online, is logged, or is used for training.

Everyone in the market is talking about AI right now. It’s a modern marvel; some say it might even be as big as the Industrial Revolution. We’re not big on grandiose statements like that, but we are big on delivering products that help our customers be more efficient and secure and, as a result, have happier and more engaged teams. That’s why today, we’re excited to announce AI in Tines. Two powerful features to make Tines even more accessible to any member of your organization.

If you've ever worked in security or another technical field, you've probably been burned many times by tools that overpromised and underdelivered. I still have scar tissue from my time leading security teams at eBay and DocuSign - we saw so many tools that demoed extremely well but turned out to be undeployable.

Anyone remotely wired into technology newsfeeds – or any newsfeeds for that matter – will know that AI (artificial intelligence) is the topic of the moment. In the past 18 months alone, we’ve borne witness to the world’s first AI Safety Summit, a bizarre and highly public leadership drama at one of the world’s top AI companies, and countless prophecies of doom. And yet, even after all that, it seems businesses have largely failed to take meaningful action on AI.

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.