Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The way developers interact with tools is changing fast. Language models like Claude and ChatGPT, and IDEs like Cursor and Windsurf are much more than assistants and environments—they’re powerful interfaces for interacting with enterprise data. ‍ At Vanta, we envision a world where compliance workflows can shift left to meet GRC teams and developers where they already are. By launching the Vanta MCP Server, we’re making that vision real.

AI red teaming is the process of simulating adversarial behavior to test the safety, security, and robustness of artificial intelligence systems. It draws inspiration from traditional cybersecurity red teaming (where ethical hackers emulate real attackers to expose flaws) but applies that mindset to machine learning models, data pipelines, and the broader AI stack.

The use of artificial intelligence in cyberattacks is now a growing concern. From the automated creation of malware to more sophisticated phishing campaigns, AI’s ability to enhance the scale and effectiveness of threats has become a cause for alarm. However, Version’s 2024 Data Breach Investigations Report (DBIR) states that only 2% of analyzed data breaches directly involved the use of this technology.

Sometimes preparing dinner can be a complicated task. You’re juggling a stir-fry, boiling pasta, prepping a salad, and all you want is to say “Chop the onions” and have it done. No switching between tasks, no looking up steps. Just state the intent, and it’s executed. We wanted that same level of simplicity when interacting with our environment, including sites, users, topology, and real-time data. That led us to build Cato’s Model Context Protocol (MCP) Server.

At Zenity, we're deeply committed to helping our customers harness and embrace the power of Agentic AI and citizen development platforms by getting these powerful tools into the hands of business users everywhere, responsibly.