Over-sandboxed agents
Agents can read docs and write code but cannot touch the live systems where incidents and operational tasks happen.
Operational AI With Guardrails
Secure containment for AI agents that need to operate in live environments
Cove lets teams run agents against live systems while enforcing least-privilege controls at the protocol layer.
Ship faster investigations, safer automations, and audit-ready evidence for every action without giving agents broad standing access.
- Lower blast radius by default
- Faster production triage
- Audit-ready session history
Signal Tides
A live stream of what Cove allows, blocks, and escalates.
Policy signals flow continuously, while key events surface as interactive markers. Hover or focus to inspect why a request passed, failed, or needed approval.
Monitoring governed traffic across active sessions.
- Allowed
- Blocked
- Approval required
- Operational signal
Deploy Cove where your sensitive systems already live.
- Your cloud
- Your VPC
- Your hardware
- No third-party data relay
- Single binary + PostgreSQL
The Problem
Production AI initiatives stall when they hit real operational risk.
Teams either sandbox agents so tightly they cannot resolve incidents and run workflows, or hand over broad credentials without enforceable boundaries.
Credential overexposure
Granting raw SSH keys, database passwords, or API tokens creates unnecessary blast radius when an agent overreaches.
No semantic visibility
Traditional logs show connections, not intent, making it hard to answer what the agent actually queried, called, or modified.
How Cove works
Containment that keeps teams moving.
Cove runs each agent inside an ephemeral Linux microVM and intercepts outbound TCP so every action is evaluated against policy before it reaches your systems.
Built for hackers who need freedom to operate in production without drifting outside policy.
- 01
Isolate each agent session
Every run starts in a fresh Linux microVM with scoped permissions and no standing privileged network path.
- 02
Intercept outbound traffic transparently
iptables redirects outbound TCP through Cove proxies automatically, so agents use normal tools without custom network config.
- 03
Enforce protocol-aware rules
Policies are evaluated at the application layer for SQL queries, API methods, object operations, and elevated scripts.
- 04
Log behavior with full context
Capture semantic events and connection telemetry so security teams can monitor live sessions and investigate historical activity.
Outcome-focused control layer
Security controls that unblock production workflows.
Each layer maps directly to an outcome: reduced risk, faster response, and faster audit answers.
Risk Reduction
Safe Production Access by Default
Agents start in disposable microVMs with least-privilege boundaries, reducing blast radius while still allowing live investigation.
Faster Rollout
No Agent Rewrites Required
Kernel-level interception keeps existing tools and SDKs working, so teams move from pilot to production without replatforming agents.
Controlled Execution
Policy That Maps to Real Work
Enforce read-only SQL, endpoint-method allowlists, scoped bucket access, and controlled scripts so agents can do the task without exceeding scope.
Audit Readiness
Audit Evidence Without Reconstruction
Capture SQL text, API paths, object keys, and approval decisions so security and compliance teams can answer questions quickly.
Operational Visibility
Live Oversight for On-Call Teams
See active sessions and traffic in real time, allowing reviewers to intervene before drift becomes incident impact.
Data Control
Deploy Inside Your Boundary
Run as a single Go binary with PostgreSQL on your infrastructure to keep agent traffic and operational data under your control.
Use Cases By Buyer Intent
Start with workflows where risk and ROI are both clear.
Choose a high-impact lane, enforce tight boundaries, and expand once the control model proves out.
Investigate production incidents with agents that cannot write by default.
Give on-call teams fast read access to production systems while blocking risky mutations until explicitly approved.
- Read-only SQL policies protect critical data during triage
- Endpoint and method allowlists keep investigations narrowly scoped
- Every query, API call, and escalation is logged for postmortems
Automate repetitive operational work without handing out standing credentials.
Run cleanup, reporting, and reconciliation tasks in ephemeral microVMs with narrowly scoped access to the systems each workflow needs.
- Short-lived sessions reduce long-term credential exposure
- High-risk script steps can require human approval
- Teams apply one policy model across many workflows instead of one-off scripts
Collect audit evidence quickly while maintaining strict data boundaries.
Support access reviews and control validation with semantic logs that show exactly what data was accessed, what was blocked, and what was approved.
- Queryable trails combine transport telemetry with application-level intent
- Time-limited escalation decisions are recorded with reviewer context
- Evidence collection stays inside your cloud, VPC, or on-prem environment
Operational outcomes
What teams unlock once guardrails are in place.
Cove turns security policy from a blocker into an execution layer for operational AI work.
Faster Triage
Agents can query live systems under read-only defaults, reducing handoffs during incidents.
Lower Credential Exposure
Ephemeral sessions and scoped permissions remove broad, standing access from day-to-day workflows.
Audit-Ready Evidence
Semantic logs answer who accessed what, when, and under which approval decision.
Quicker Rollout
No agent-specific SDK migration means teams productionize existing workflows sooner.
Audit, approvals, and oversight
See what agents did, not just where they connected.
Cove records both transport-level and application-level events so security teams can review activity in real time or during incident response.
Connection and payload telemetry
Track source, destination, timestamps, bytes transferred, and optional full request/response capture.
Semantic event logging
Record SQL statements, API methods and paths, object keys, and permission escalation outcomes.
Live session dashboard
Watch active sessions and traffic flow as agents operate across your environment.
Human approval gates
Route high-risk escalation requests to Slack, Teams, or email and log every approval or denial decision.
Deployment
Run Cove on infrastructure you control.
- Step 1
Install the control plane
Deploy Cove as a single Go binary with an embedded React dashboard. No container platform is required.
- Step 2
Connect persistence and agent targets
Use PostgreSQL for policy and session storage, then connect Linux hosts or ephemeral VMs through SSH or Sprites.dev.
- Step 3
Operate fully inside your boundary
Agent traffic, database queries, and audit records remain in your environment while Cove cross-compiles the agent component for x86_64 and ARM.
FAQ
Questions from security and platform teams.
Do agents need custom integration to run in Cove?
No. Cove intercepts outbound TCP at the kernel level in the microVM, so agents can keep using standard tools, SDKs, and libraries.
What types of policy controls can Cove enforce?
Cove enforces protocol-aware policies, including read-only database rules, endpoint and method allowlists for APIs, scoped S3 access, and controlled script execution.
How does human approval work for elevated permissions?
When an agent hits a policy boundary, Cove can route an approval request to Slack, Microsoft Teams, or email. Reviewers can approve or deny with context, and every decision is logged.
What does deployment look like?
Cove deploys as a single Go binary with an embedded dashboard and PostgreSQL persistence on infrastructure you control. Agent traffic and data stay inside your environment.
Ready to reduce risk and increase throughput?
Roll out your first governed production workflow.
Get a walkthrough tailored to a real incident response, ops automation, or compliance workflow in your environment.