Replica Cyber reveals how organizations are handling high-risk work
Replica Cyber reveals how organizations are handling high-risk work
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.
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.
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%
AI Agents the average Fortune 500 enterprise will run by 2028 (Gartner, 2026)
of organizations believe they have the right governance in place to manage them (Gartner, 2026)
of agentic AI projects will be canceled by the end of 2027 – inadequate risk controls are a leading cause (Gartner, 2025)
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.
Agents run on Goose, an open-source multi-modal framework integrated into the platform. No model lock-in.
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?"
New enclave capabilities execute pre-configured agentic operations at scale - the repeatability claim, made concrete.
Self-service API keys, expanded REST documentation, GitHub/GitLab workflow support, mTLS across services, expanded audit logging, RBAC improvements, and cluster-level AI controls.
