Solution Brief (PDF)
AI Moves Fast.
Govern It Faster: Cyberhaven AI Security
Autonomous agents like Claude Code, Codex, and Copilot now run on endpoints, inherit employee credentials, and act at machine speed. Legacy DLP was built for browser-based, human-speed interactions. It has no visibility into what an agent reads, transforms, or exfiltrates across dozens of API calls.
This datasheet covers how Cyberhaven's unified AI and data security platform inventories AI apps and agents, traces data across agentic workflows, and enforces policy at the prompt and response level, so security teams can govern AI without slowing it down.
Key Takeaways:
- Legacy tools can't see what agents do. Traditional DLP detects that an employee opened ChatGPT. It cannot reconstruct a multi-step agent workflow, distinguish a governed corporate instance from a personal account leaking IP, or surface goal hijacking and privilege abuse across autonomous execution chains.
- AI Risk IQ scores every app and agent automatically. Cyberhaven's proprietary scoring system evaluates AI tools across five dimensions, including data sensitivity, model integrity, and compliance adherence, and updates quarterly with zero configuration required.
- Govern AI without blocking it. Runtime guardrails block, warn, or redact at the prompt and response level, while adoption insights and coaching nudges drive employees toward sanctioned tools rather than shadow AI.
