As enterprise AI adoption expands, security teams cannot manage risk with fragmented browser extensions and manual policies. A comprehensive AI Security Platform is necessary to consolidate visibility, manage user behavior, enforce regulatory compliance, and intercept leakage across all AI channels in one unified workflow.
TryAIDR is built specifically to serve as this central control plane for generative AI security.
Core Features of a Modern AI Security Platform
To protect modern enterprises, an AI security platform must offer several key capabilities:
- OS-Level Integration: Catching clipboard pastes and application interactions at the source, rather than relying on weak browser-only proxies.
- Multimodal Content Inspection: Detecting sensitive data inside images, screenshots, code blocks, and documents.
- Local Machine Intelligence: Analyzing content at the endpoint in milliseconds using localized ML models, avoiding third-party data processing loops.
The TryAIDR Unified Architecture
TryAIDR combines lightweight endpoint agents, local machine learning, and a centralized management console to secure your environment:
- [Endpoint Agent](/endpoint-agent): Hooks into clipboard events and network requests to inspect and intercept data before it exits the machine.
- Local Classification Engine: Evaluates prompts locally using dynamic regex and specialized ML classifiers, ensuring absolute privacy.
- Central Admin Dashboard: Manage security policies, configure real-time alert notifications, and access cryptographic audit logs.
Centralized Policy Model
Manage all policies from one central platform interface:
json
{
"platform_version": "2.4.0",
"active_policies": [
"pii-redaction-global",
"source-code-blocking-restricted",
"shadow-ai-discovery-catalog"
]
}