Agents act.
Policies govern.
When the auditor asks what happened, you'll know.
Your agents are already in production.
What are they doing right now?
Access controls were built for humans who ask permission. Agents don't ask.
Audit trails
The auditor asks what happened at 2:47 a.m. Your agent made 47 API calls. Your logs show nothing.
Policy controls
Your agent needs a refund approved. It has database access but no authority to act. It waits for you.
Visibility
Three agents. One broken integration. Your CTO asks which team is responsible. The logs won't say.
Monitoring
Your agent processed 200 tickets overnight. One customer escalated to your CEO. You found out from Slack.
Four steps.
Full accountability.
Tools
Write your code. The moment it ships, every call gets logged.
- Grouped into scoped toolboxes
- GitHub, GitLab, Bitbucket
Agents
Define access boundaries. Call them from anywhere—API, webhook, or CLI.
- Pre-built agent library
- Declarative YAML config
Hooks
Stripe fires a webhook. GitHub opens a PR. PagerDuty pages. The right agent picks it up.
- Event-driven automation
- Multi-service orchestration
Audit
Pull the logs. See who did what, when, and why. Every time.
- Policy-based boundaries
- Complete audit trails
The compiler is
your first reviewer.
AI-generated code breaks in weird ways. Rust catches it before you ship. Every tool gets type-checked, memory-safe, and proven correct before it hits production.
With Python, you find out something's broken in production. With Rust, you found out Sunday—the compiler wouldn't build it.
rustWhere teams deploy Brwse first
From first week to first year.
Terraform
GitHub
AWSWeek 1
Automated deploy approval
Architecture, not tickets. Strategy, not busywork.
- Challenge:
- 80% of your Terraform PRs are routine. All still need human review.
- Solution:
- Agents handle the routine. Engineers handle exceptions. Now zero PRs wait.
- Scenario:
- You push to main and close your laptop. The agent tests, stages, deploys, and promotes—or catches the failure first.
- Examples:
- Context-aware PR review and auto-approval
- Rollback on failed health checks
- Drift detection with auto-remediation
Stripe
Slack
Salesforce
TwilioMonth 1
Cross-system failure isolation
When systems break, you'll know exactly which call failed—and have the logs to prove it.
- Challenge:
- An upstream API changed. Your integration broke.
- Solution:
- Events route to the right agent. Logs show exactly which call failed. Bring the evidence to the post-mortem.
- Scenario:
- Stripe sends a webhook. The agent checks usage, determines the issue, routes it to the right team.
- Examples:
- Triage incoming events by business context
- Correlate failures across systems
- Route to the right team with full trace
PagerDuty
DatadogAWSQuarter 1
Autonomous incident response
The 3 a.m. page comes in. The agent resolves it. You sleep through.
- Challenge:
- 3 a.m. alert. You're in production, manually running your incident playbook.
- Solution:
- The agent detects, executes, and logs every step. You find out it's resolved when you wake up.
- Scenario:
- Alert fires. Agent diagnoses, executes the pre-approved fix, updates the incident.
- Examples:
- Diagnose root cause before escalating
- Execute runbooks with human approval
- Scale resources based on anomaly patterns
Okta
Jira
ServiceNowYear 1
Escalation with proof
Every access request, every approval, every provisioning action—logged and untouched by human hands.
- Challenge:
- SOC 2 requires proof of least-privilege access. Your approval backlog says otherwise.
- Solution:
- Agents handle routine requests within your policies. Everything gets logged. When compliance asks, you'll have proof.
- Scenario:
- Access request lands. The agent checks eligibility. Routes for approval. Provisions exactly what's needed—nothing more.
- Examples:
- Validate requests against policy before provisioning
- Generate audit evidence automatically
- Enforce least-privilege with zero manual review
TerraformGitHubAWSWeek 1
Automated deploy approval
Architecture, not tickets. Strategy, not busywork.
- Challenge:
- 80% of your Terraform PRs are routine. All still need human review.
- Solution:
- Agents handle the routine. Engineers handle exceptions. Now zero PRs wait.
- Scenario:
- You push to main and close your laptop. The agent tests, stages, deploys, and promotes—or catches the failure first.
- Examples:
- Context-aware PR review and auto-approval
- Rollback on failed health checks
- Drift detection with auto-remediation
StripeSlackSalesforceTwilioMonth 1
Cross-system failure isolation
When systems break, you'll know exactly which call failed—and have the logs to prove it.
- Challenge:
- An upstream API changed. Your integration broke.
- Solution:
- Events route to the right agent. Logs show exactly which call failed. Bring the evidence to the post-mortem.
- Scenario:
- Stripe sends a webhook. The agent checks usage, determines the issue, routes it to the right team.
- Examples:
- Triage incoming events by business context
- Correlate failures across systems
- Route to the right team with full trace
PagerDutyDatadogAWSQuarter 1
Autonomous incident response
The 3 a.m. page comes in. The agent resolves it. You sleep through.
- Challenge:
- 3 a.m. alert. You're in production, manually running your incident playbook.
- Solution:
- The agent detects, executes, and logs every step. You find out it's resolved when you wake up.
- Scenario:
- Alert fires. Agent diagnoses, executes the pre-approved fix, updates the incident.
- Examples:
- Diagnose root cause before escalating
- Execute runbooks with human approval
- Scale resources based on anomaly patterns
OktaJiraServiceNowYear 1
Escalation with proof
Every access request, every approval, every provisioning action—logged and untouched by human hands.
- Challenge:
- SOC 2 requires proof of least-privilege access. Your approval backlog says otherwise.
- Solution:
- Agents handle routine requests within your policies. Everything gets logged. When compliance asks, you'll have proof.
- Scenario:
- Access request lands. The agent checks eligibility. Routes for approval. Provisions exactly what's needed—nothing more.
- Examples:
- Validate requests against policy before provisioning
- Generate audit evidence automatically
- Enforce least-privilege with zero manual review
Set the boundary. Ship the agent.
Tomorrow morning, check the logs—not your phone.
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