Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

GhostGPT, the new malicious chatbot and its impact on cybersecurity

At this juncture, it is no surprise that cybercriminals are leveraging the potential of generative artificial intelligence to strengthen their attacks. However, the emergence of new models specifically designed to generate threats quickly has made this task even easier for bad actors. At the end of 2024, researchers discovered a new AI chatbot created for cybercriminal purposes.

Understanding AI Maturity: Where Are You Today, and Where Do You Want to Be?

By rating your present AI Maturity level and your desired future state, you can create a focused action plan to move forward confidently and securely. AI adoption doesn’t have to be overwhelming, it just requires a clear, intentional approach.

How to Use MCP Servers with Claude Desktop | Real-Time AI Integration

In this video, I walk you through the basics of getting started with MCP servers using Claude Desktop as the client. Whether you're new to MCP servers or just looking for a smooth way to connect and explore, this step-by-step guide will help you get up and running in no time!

How We Support Enterprise Adoption of MCP, A2A, and AI Integrations

We’ve been hearing (and using) a lot of acronyms lately. MCP, A2A, ACP… it’s easy to fall behind. Fortunately for our customers, all of these new standards are API based! Since Riscosity is built to discover, monitor, and govern all HTTP-based data flows, it requires no extra integration or setup to handle MCP, A2A, or ACP traffic.

How Businesses Using GPT 4.1 Can Comply With DPDP's Data Residency Bill

Until 2023, India’s data privacy landscape was largely unregulated – businesses didn’t have to worry about how they process and store data. Sensitive customer data like Personally Identifiable Information (PII) could travel around the world in 80 days and land back to its source without violating a single regulation. While the unregulated digital space was a boon for data dependent businesses, it was a bane for customer privacy.

AI Penetration Testing Fundamentals

With the increasing usage of AI systems in critical infrastructure and business operations, there is an inevitable need to secure these systems. AI pentesting is a domain-specific security assessment designed to identify and remediate vulnerabilities unique to AI systems, including machine learning models, training pipelines, and their underlying infrastructure.

AI Models Are Ready to Make a Difference - Sunil Pai on Cloudflare's Developer Tools Ecosystem

Clip of the show/podcast with Sunil Pai. About Cloudflare's ecosystem for developers and how most people don't realize that AI and agents are ready to make a difference. Sunil is the founder of PartyKit (an open source deployment platform for AI agents), acquired by Cloudflare in 2024. And he’s a Principal Systems Engineer that is building AI agents at Cloudflare.

Tips for choosing an AI-driven SIEM

Artificial intelligence is rewriting the rules for cybersecurity on both sides of the battle. Cloud adoption, a broadening attack surface, and AI-fueled cyber threats are driving organizations to rethink their approach to security. Discussions on the best way to adapt to a highly dynamic threat environment will naturally steer toward updating SIEM, as it is core to today’s security operations.