Who Really Owns Your Data in the AI Era?
AI is transforming industries—but at what cost to privacy? This clip explores how companies use personal and medical data and why transparency is crucial. Do we still have control over our information?
Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
Hunters Announces New AI Capabilities with Pathfinder AI for Smarter SOC Automation
Pathfinder AI expands Hunters' vision for AI-driven SOCs, introducing Agentic AI for autonomous investigation and response.
Accelerating Enterprise AI Development: A Guide to the JFrog-NVIDIA NIM Integration
Enterprises are racing to integrate AI into applications, yet transitioning from prototype to production remains challenging. Managing ML models efficiently while ensuring security and governance is a critical challenge. JFrog’s integration with NVIDIA NIM addresses these issues by applying enterprise-grade DevSecOps practices to AI development. Before exploring this solution further, let’s examine the core MLOps challenges it solves.
An Inside Look at Cato's New AI Assistant
In line with our philosophy of delivering an exceptional customer experience, Cato Networks has added a knowledge-base AI assistant as part of the Cato SASE Cloud Platform. The AI assistant provides accurate, relevant answers to questions about using Cato’s many capabilities with detailed, step-by-step instructions uniquely suited to the user’s situation and circumstance.
Enabling Proactive IT: How AI is Transforming Network Visibility
For years, IT teams have been stuck in a reactive mode, scrambling to fix network performance issues only after users start complaining. Despite an abundance of monitoring tools, the real challenge has always been identifying and resolving issues before they impact productivity—without spending countless hours on manual troubleshooting.
ChatGPT and Secure Coding: Benefits and Security Vulnerabilities of ChatGPT-Generated Code
As developers continue to adopt AI tools to transform their workflows, AI-generated code has become more common. In fact, 96% of developers reported using AI coding assistants to streamline their work. Although generative AI (GenAI) tools like ChatGPT can speed up workflows and boost productivity, the security and quality of the outputs aren’t guaranteed.
Agentic AI: Redefining the Future of Autonomy in Business
The evolution of artificial intelligence (AI) agents signals a profound transformation in how businesses operate.
Can Autonomous LLM Agents Exploit One Day Vulnerabilities?
When generative AI first emerged, the cybersecurity community primarily focused on two promising benefits. However, a concerning “third angle” has now been demonstrated: AI as an attacker – powerful AI systems in the hands of malicious actors, autonomously exploiting vulnerabilities with minimal human guidance.
Spark Demo: Code Intelligent's AI Test Agent
Demo: AI Test Agent in Action Discover the benefits of CI Fuzz 2.0, our powerful tool that simplifies fuzzing to a single command. The demo will also highlight root cause analysis capabilities, showcasing how vulnerabilities can be identified and addressed efficiently, this demo will uncover several real-world severe vulnerabilities uncovered by AI Test Agent in widely used open-source libraries during the past few months.
Fuzzing Forward: Lowering Barriers to Secure Code with AI
Introducing “Spark” Code Intelligence’s AI Test Agent Fuzz testing is a proven powerhouse for uncovering critical bugs, yet its full potential often goes untapped due to the heavy manual workload it demands. But what if that effort could be a thing of the past? Enter “Spark” Code Intelligence’s AI Test Agent—a revolutionary solution that automates the discovery of vulnerabilities, bringing the power of advanced security testing, like fuzzing, into reach for all.