Sensitive prompts
Credentials, source code, personal data, and regulated information can enter AI conversations without reaching an existing DLP control.
Visibility across the tools in use
- OpenAI's Codex
- Anthropic's Claude Code
- Google's Gemini CLI
- GitHub Copilot in VS Code
AI use moved to the endpoint. Security visibility did not.
Employees are adopting coding agents, terminal tools, editor assistants, and local extensions faster than traditional controls can inventory them. AI Atlas turns that activity into security evidence through the Aegis endpoint agent.
Unreviewed extensions
Agent skills and MCP servers can introduce unsafe instructions, broad tool access, and new paths for data to leave the endpoint.
Unmanaged identity
Personal accounts make it difficult to separate approved business use from activity outside company controls and retention policies.
One operating picture. Four clear decisions.
Atlas separates AI activity into the questions security teams need to answer, without burying the signal in another wall of alerts.
Prompt data protection
Detect sensitive data patterns in prompts, including PII, credentials, passwords, keys, secrets, and other confidential content.
Know what data is leaving
Skill and MCP review
Inspect installed AI skills and MCP servers for suspicious instructions, exfiltration patterns, jailbreak attempts, and unsafe configuration changes.
Find risky local components
Usage and cost visibility
Measure token consumption, estimated cost, user adoption, and activity across endpoint AI tools without waiting for one central provider console.
Report on real adoption
Account identity
Identify where personal AI accounts are being used on work devices so security teams can address policy gaps with clear context.
Separate approved and personal use
Deploy once. See the full picture.
Aegis gives AI Atlas endpoint context without forcing every team into a new workflow or a single AI provider.
Observe
Aegis collects AI harness activity from the terminals, editors, agents, and local tools employees already use.
Classify
AI Atlas organizes prompt findings, extension risk, usage, cost, and identity into reviewable security evidence.
Respond
Teams can investigate exposure, coach users, remove unsafe components, and improve policy with endpoint context.
AI risk belongs in the security operation.
AI Atlas brings endpoint AI activity into Meridian, giving teams a clearer way to investigate exposure, guide users, and report adoption alongside existing security work.
- Detect sensitive data entering AI systems
- Inventory AI activity across endpoint users
- Review risky skills and MCP servers
- Identify personal accounts on work devices
- Track token use and estimated cost
Bring enterprise AI use into view.
See how AI Atlas helps your team find data exposure, review agent extensions, and govern AI use with endpoint evidence.