Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

How Claude + MCP + Vanta could help auditors

At Vanta, we’re always looking to experiment, learn, and stay at the forefront of AI. Recently, we built a proof of concept to explore how auditors could interact more effectively with audits and the data within them. Our experiment used Anthropic’s Claude, the open source MCP (Model Context Protocol), and Vanta’s API to enable users to ask deeper questions of Vanta’s compliance data. ‍ ‍

Generative AI: Essential Insights for CISOs on Security Impacts

Generative AI (GenAI) is transforming the cybersecurity landscape, requiring Chief Information Security Officers (CISOs) and their teams to adapt quickly to both opportunities and challenges, according to the Gartner report 4 Ways Generative AI Will Impact CISOs and Their Teams. As organizations integrate GenAI into business processes, it is critical to secure not only the technology’s development but also its consumption across the enterprise.

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.

Gartner's AI TRiSM Market Guide Validates the Urgency of AI Agent Security

AI Agents are not just another tech trend; they are fundamentally reshaping how enterprises operate. These autonomous systems are deeply embedded into workflows, making real-time decisions, executing tasks, and integrating across an organization’s most critical systems. With this shift comes an undeniable reality: enterprises are handing over operational control to AI-driven entities without the necessary governance and security frameworks in place.