--- title: "The Demo Test: Six Scenarios to Make Any AI Security Vendor Run Live" id: "40311" type: "post" slug: "ai-security-vendor-demo-test" published_at: "2026-11-10T13:10:37+00:00" modified_at: "2026-11-10T13:55:17+00:00" url: "https://www.kitecyber.com/blog/ai-security-vendor-demo-test/" markdown_url: "https://www.kitecyber.com/blog/ai-security-vendor-demo-test.md" excerpt: "Table Of Content 1. Find what IT never approved 2. Replay an agent run Add two questions of your own […]" taxonomy_category: - "AI Agent Security" - "AI Security" - "Cybersecurity" - "Data Security" - "Device Management" - "DLP" - "Endpoint Security" --- Table Of Content - [1. Find what IT never approved](#1-find-what-it-never-approved) - [2. Replay an agent run](#2-replay-an-agent-run) - [Add two questions of your own](#add-two-questions-of-your-own) - [Where Kitecyber fits](#where-kitecyber-fits) Related Posts ## [The Demo Test: Six Scenarios to Make Any AI Security Vendor Run Live](https://www.kitecyber.com/blog/ai-security-vendor-demo-test/) ## [Approved Isn’t Static: Catching When a Sanctioned AI Tool Changes Behavior](https://www.kitecyber.com/blog/continuous-ai-tool-monitoring-risk-drift/) ## [Localhost Is Not a Security Boundary: The MCP Servers Running on Your Developers’ Laptops](https://www.kitecyber.com/blog/localhost-mcp-server-security/) Table Of Content - [1. Find what IT never approved](#1-find-what-it-never-approved) - [2. Replay an agent run](#2-replay-an-agent-run) - [Add two questions of your own](#add-two-questions-of-your-own) - [Where Kitecyber fits](#where-kitecyber-fits) [ZTNA](https://www.kitecyber.com/ztna/) [User Identity Theft](https://www.kitecyber.com/user-identity-theft/) [Snowflake marketplace cybersecurity](https://www.kitecyber.com/snowflake-marketplace-cybersecurity/) [Snowflake incident](https://www.kitecyber.com/snowflake-marketplace-cybersecurity/snowflake-incident/) [Snowflake](https://www.kitecyber.com/snowflake-marketplace-cybersecurity/snowflake/) [Sensitive Data Theft](https://www.kitecyber.com/sensitive-data-theft/) [Secure Web Gateways](https://www.kitecyber.com/swg/) [SaaS App Sprawl](https://www.kitecyber.com/saas-app-sprawl/) [Private Access VPN](https://www.kitecyber.com/private-access-vpn/) [Private Access Solution](https://www.kitecyber.com/private-access-solution/) # The Demo Test: Six Scenarios to Make Any AI Security Vendor Run Live - November 10, 2026 - [Srikanth Chavali](https://www.kitecyber.com/author/shrikant/) **Quick Answer:** AI Security Posture Management (AISPM), also called AI Posture Management, is the continuous process of discovering, monitoring, and controlling how AI tools, models, and agents interact with your company's data and systems. It covers everything from spotting an unapproved AI app on someone's laptop to blocking a customer record from being pasted into a public chatbot. Most teams that manage AI posture well pair a discovery layer with policy enforcement at the point where employees actually use AI, which is the endpoint. ## Feature lists look alike. Live scenarios do not. AI security is a crowded category. Every vendor claims discovery, agent visibility and data protection. On 29 October, Cyberhaven published a buyer’s guide with six evaluation criteria, and its core advice is sound for any buyer: ask the vendor to demonstrate, not describe. Here is our adaptation, written from an endpoint point of view, that you can use with any vendor, including us. ## 1. Find what IT never approved Ask the vendor to enumerate coding assistants, local agents and MCP servers installed on a developer laptop that nobody sanctioned. If the answer depends on browser or SaaS telemetry alone, the inventory has a blind spot. Cyberhaven Labs reports endpoint agentic app users grew 43.2% between January and June 2026 (their figure, not independently verified). ## 2. Replay an agent run Have the vendor show what an agent did: files read, commands run, tools called, network destinations. Then ask for a scenario where one agent hands output to another. If you must stitch logs from several consoles, the audit trail is not really an audit trail. ## 3. Follow the data, not the file Ask whether sensitive content keeps its classification after it is copied, transformed or pasted into a prompt. Enforcement that only knows data moved is weaker than enforcement that knows what the data is. ## 4. Look at the block message Trigger a policy on sensitive data in a prompt and look at what the user sees. A generic block page pushes people to personal accounts. A good message names the risk, explains the policy and offers a way forward. ## 5. Cross the browser and the desktop Start a workflow in a browser AI tool and continue it in a locally installed agent. Check that one policy and one classification layer cover both, and that personal and corporate accounts are told apart at runtime. ## 6. Correlate with the rest of data security Ask whether an AI alert can be tied to a DLP or insider-risk event on the same data movement in one view, without manual correlation. ## Add two questions of your own - **Cost to run:** what is the agent's CPU footprint and typical time to deploy? - **Privacy:** what does it store, for how long, and who can see it? ## Where Kitecyber fits Kitecyber runs on the endpoint, so device posture, operating system and process activity, user activity, network activity and [data classification](https://www.kitecyber.com/glossary/data-classification/) (80+ categories) share one context. The agent uses under 2% CPU and typical deployment takes around a day. We welcome these six scenarios in a live session. **Book a Kitecyber walkthrough** at [kitecyber.com](https://www.kitecyber.com/) and bring your own test cases. [https://www.kitecyber.com/author/shrikant/](https://www.kitecyber.com/author/shrikant/) [Srikanth Chavali](https://www.kitecyber.com/author/shrikant/) With over a decade of experience steering cybersecurity initiatives, my core competencies lie in network architecture and security, essential in today's digital landscape. At Kitecyber, our mission resonates with my quest to tackle first-order cybersecurity challenges. My commitment to innovation and excellence, coupled with a strategic mindset, empowers our team to safeguard our industry's future against emerging threats. Since co-founding Kitecyber, my focus has been on assembling a team of adept security researchers to address critical vulnerabilities and enhance our network and user security measures. Utilizing my expertise in the Internet Protocol Suite (TCP/IP) and Cybersecurity, we've championed the development of robust solutions to strengthen cyber defenses and operations. [mailto:skc@kitecyber.com](mailto:skc@kitecyber.com) [https://www.kitecyber.com/](https://www.kitecyber.com/) Posts: 106 [https://www.kitecyber.com/author/shrikant/](https://www.kitecyber.com/author/shrikant/) [Srikanth Chavali](https://www.kitecyber.com/author/shrikant/) With over a decade of experience steering cybersecurity initiatives, my core competencies lie in network architecture and security, essential in today's digital landscape. At Kitecyber, our mission resonates with my quest to tackle first-order cybersecurity challenges. My commitment to innovation and excellence, coupled with a strategic mindset, empowers our team to safeguard our industry's future against emerging threats. Since co-founding Kitecyber, my focus has been on assembling a team of adept security researchers to address critical vulnerabilities and enhance our network and user security measures. Utilizing my expertise in the Internet Protocol Suite (TCP/IP) and Cybersecurity, we've championed the development of robust solutions to strengthen cyber defenses and operations. [mailto:skc@kitecyber.com](mailto:skc@kitecyber.com) [https://www.kitecyber.com/](https://www.kitecyber.com/) Posts: 106