AI didn’t enter your enterprise through one door
See how AccuroAI discovers every AI tool and agent, redacts sensitive data in line, and blocks risky agent actions before they reach your systems.
Ratings as of Aug 7, 2026. Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates.
Sensitive data leaves in a prompt,
an upload or an agent command.
Legacy DLP and CASB tools watch network traffic. AI use happens in browser tabs, desktop apps, IDEs and agents, often on personal accounts. That leaves five gaps.
Three products, one for each way AI reaches your data.
Employees using AI tools, agents acting on your systems, and AI installed on laptops. Each product runs on the same policies and audit logs, so you can start with one.
Every redaction, block and agent verdict, in one console.
Whichever product you start with, the same dashboard, policies and audit logs cover employees, agents and endpoints.
Which AI tools your teams used this week, and who used them.
Usage by app, employee and domain, with policy events alongside, from the day AccuroAI goes live.
Playbooks, templates and new research for AI security teams.
A scoring sheet for every MCP server you find: ten capability tags, four findings, a 0-100 score and the action for each band.
The field guide for security leaders: operating model, frameworks crosswalked, benchmarks, and a ready-to-send vendor RFP.
To lock down Claude Code, deploy a managed settings file that IT controls, add deny and ask rules for secrets, network tools and destructive commands, turn off bypass permissions mode, and allow only approved MCP servers. We verified every key against Anthropic's documentation, show a baseline file, and list what a settings file cannot do: other agents, device inventory and commands a pattern misses.
PHI in AI prompts is patient health information that identifies someone, or could, sent to an AI tool by paste, upload or screenshot. Detect the identifiers, then decide by destination: a licensed tool under a BAA gets what the task needs, and a personal account gets no patient data. Redaction reduces what is disclosed, but it is not HIPAA de-identification.
HIPAA and AI meet wherever AI touches protected health information. A vendor that handles PHI for a covered entity is generally a business associate and needs a BAA, while a paste into a personal AI account is presumed a breach unless a documented four-factor assessment shows a low probability of compromise. We read the eCFR and the Federal Register to map each rule to AI tools and agents, confirm the 2025 Security Rule update is still a proposal, and set out a 90-day plan.