Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI

Implementing AI within your security strategy: 7 best practices

There’s a ton of media hype about the swift integration of AI across different business functions. It has also been reported that 98% of technology executives have paused their AI programs to establish guidelines and policies around its implementation. Depending on when and where you read about it, opinions on the speed of AI adoption vary. Nevertheless, AI is more than just hype.

Building Apps at Scale in Power Platform? Not for the Faint of Heart... or CoE Security

Enterprises are racing to adopt AI copilots and low-code/no-code platforms to innovate and maximize efficiency by placing powerful technology and development tools in the hands of all business users. While the productivity gains are enormous, so are the security risks, as the nature of these copilots and low-code platforms results in a surge of new business apps being created at the enterprise.

Questionnaires: OkCupid vs. Security

What do OkCupid quizzes and generic security questionnaires have in common? More than you might think. James Scheffler, Head of GRC at DataRobot, explains why one size definitely doesn't fit all. That’s why TrustShare allows prospects to conduct a virtual audit and get the information they need from your trust portal. When a questionnaire is unavoidable, our AI-powered solution pre-fills up to 90% with accurate, context-aware answers - and citations to prove it!

Top 7 Challenges in Building Healthcare GenAI Applications

The integration of generative AI (GenAI) into healthcare holds tremendous potential for transforming patient care, diagnostics, and operational efficiency. However, developing these applications faces numerous challenges that must be addressed to ensure compliance, accuracy, and security. Here are the top challenges in building healthcare GenAI applications.

ChatGPT Security: Tips for Safe Interactions with Generative AI

With over 100 million users and partnerships with Microsoft, Reddit, Stack Overflow, and more, ChatGPT has become the herald of an AI revolution since its launch in late 2022. The rise of this AI-powered natural language processing tool comes down to two distinct features: its conversational nature, which allows anyone to ask questions and receive detailed and helpful responses, and its access to a global knowledge base.

The Future Of AI At Arctic Wolf

Arctic Wolf is addressing the exponential scale of security threats to business worldwide with our fusion of human intelligence, artificial intelligence, and one of the world’s largest data-streams of security observations. Join Arctic Wolf’s Dan Schiappa, Chief Product Officer, and Ian McShane, Vice President of Product, as they share their vision for AI in the context of the industry-leading Arctic Wolf Security Operations Cloud.

4 Examples of How AI is Being Used to Improve Cybersecurity

Throughout history, technology has been a catalyst for solving many civilizational problems. The advent of artificial intelligence (AI) presents an incredible opportunity to combat cybersecurity risks and bolster the defenses of organizational IT networks. The good news is that it’s already making an impact by reducing the average dwell time of cyber attacks by as much as 15%. But AI holds much more promise.

Your AI Governance Blueprint: A Guide to ISO 42001 & NIST AI RMF

As businesses increasingly rely on AI to drive innovation and efficiency, ensuring that these systems are used ethically and safely becomes paramount. We’re here to help you build your blueprint to effective AI governance, stay compliant with global standards, and mitigate potential risks.

Why Artificial Intelligence (AI) Is Neither

Artificial Intelligence (AI) is the buzzword du jour of not just tech, but the entire online world. We see it in the daily headlines of everything from industry stalwarts such as Wired (There’s an AI Candidate Running for Parliament in the UK) through the stiff-collared set at the Wall Street Journal (What the Apple-OpenAI Deal Means for Four Tech Titans). Everyone who is anyone is talking about it, training it, or trying leverage against it.

Hallucinated Packages, Malicious AI Models, and Insecure AI-Generated Code

AI promises many advantages when it comes to application development. But it’s also giving threat actors plenty of advantages, too. It’s always important to remember that AI models can produce a lot of garbage that is really convincing—and so can attackers. “Dark” AI models can be used to purposely write malicious code, but in this blog, we’ll discuss three other distinct ways using AI models can lead to attacks.