Agents for the Work Your Enterprise Can't Touch
AI agents that do the work your enterprise can’t touch – isolated from your systems, governed at every step, with a defensible record of every action.
98% of companies have deployed or plan to deploy AI agents, yet fewer than half can even inventory them. 74% plan agentic AI within two years, but only 21% have a mature governance model for it.
The projects don't die because the models fail...
They die because nobody can answer the governance question. 63% of organizations cannot enforce purpose limitations on an agent, and 60% cannot terminate a misbehaving one. Every copilot on the market helps analysts work faster on the corporate network. Replica agents do the opposite job: the contested, high-risk work that must never run there – dark web investigations, breach triage, malware analysis, covert collection – inside isolated environments, at machine speed, under controls that survive an audit.
Agent governance became a board topic. The clock is ticking.
AI Oversight is now treated as a fiduciary duty: 62% of public-company directors dedicate board agenda time to AI, and the share of companies assigning AI oversight to a named board committee has nearly quadrupled in a year – from 11% to roughly 40%
- 150,000+
- AI Agents the average Fortune 500 enterprise will run by 2028 (Gartner, 2026)
- 13%
- of organizations believe they have the right governance in place to manage them (Gartner, 2026)
- 40%
- of agentic AI projects will be canceled by the end of 2027 – inadequate risk controls are a leading cause (Gartner, 2025)
- 32%
- of leaders delayed or canceled an AI deployment in the past year because no secure environment existed to run it (Replica Exception Economy Report)
Every agent’s actions are contained in a disposable, isolated environment; nothing leaves the environment it started in.
Agent activity streams through the platform event system into the UI in real time, outside the virtual environment — Live Agent Monitoring is an architectural property, not a dashboard feature.
Open, multi-model agent framework
Agents run on Goose, an open-source multi-modal framework integrated into the platform. No model lock-in.
Models over a private path
Model calls travel a private connection to AWS Bedrock that never touches the public internet. A concrete, checkable answer to "where does my data go?"
Enclaves for scale
New enclave capabilities execute pre-configured agentic operations at scale - the repeatability claim, made concrete.
Enterprise plumbing
Self-service API keys, expanded REST documentation, GitHub/GitLab workflow support, mTLS across services, expanded audit logging, RBAC improvements, and cluster-level AI controls.