Govern. Secure. Automate.
One identity, one policy, one audit trail across every AI tool your team uses.
Free tier · No infrastructure changes · Works in minutes
“What impressed me most about Conduct AI is that it approaches AI governance as a business capability, not just a technical feature. By bringing together cost management, security controls, and compliance oversight in a scalable architecture, it addresses a need that many enterprises are actively trying to solve.”
Works with
Real data · 1 developer · 18 days · annualized
The Problem
AI agents ship code. Nobody sees what they actually did.
Your team is already using Copilot, Claude, Cursor, and Codex. But when something breaks, there's no trail, no policy, no audit log, no budget control.
Your team shipped a Friday deploy that an AI forced through unreviewed.
You found out on Monday. The AI ran the command at 3pm. Nobody saw it.
Finance asked what AI cost last quarter. Engineering had no answer.
The bill arrived. The sprint was over. The conversation was already awkward.
You have an AI usage policy. It didn't stop anything.
It exists in a doc. It wasn't running at the moment the agent acted. That's the only moment that matters.
The PR review script broke when the engineer who wrote it left.
It lived in their terminal. It drifted. It broke. It left with them.
The solution
Two problems. One platform.
Conduct ships both layers: automate the work, govern the risk. Your team moves fast with a safety net under every agent.
Ship faster with agent templates
The PR review that used to wait for a senior engineer now runs in 90 seconds. The security scan that lived in one person's terminal now runs on every push. 22 templates, ready to install.
- ✓PR review · autopilot fix · security scan
- ✓CI failure triage · flaky test detection
- ✓Release notes · postmortem drafter · docs drift
- ✓YAML you own, no vendor lock-in
- ✓Runs on Claude, GPT, or Gemini
Govern every agent at runtime
The Friday deploy that would have gone through unreviewed, blocked. The secret that would have landed in a commit message, caught. At the moment the agent acts, not the morning after.
- ✓Per-user monthly spend limits with auto-block
- ✓OWASP Top 10 policy pack, enabled by default
- ✓Full audit log: who ran what, when, and why
- ✓Slack alerts on policy violations or budget spikes
- ✓DORA metrics · cost analytics · agent scorecards
What governance actually tells you
Every AI session, explained in plain English.
Guard watches every tool call across every AI session: Claude, Codex, Cursor, Copilot. At the end of each day, it surfaces one sentence that tells your team what happened, what was blocked, and what it cost.
Whatever your team runs in Claude — a diligence desk, a security audit OS, an engineering autopilot — ConductGuard is the enforcement layer that makes it safe to hand to an executive.
Guard · AI Narrative
dev@yourteam.com
You spent $245/day on AI this period across claude-code, codex, and cursor. Guard intercepted 6 production deploys before they ran unreviewed, warned on 2 destructive commands, and screened 589 events for PII before they reached any LLM. Claude Code dominates at 96% of total spend. RTK and Booster offset $235, 5.6% back.
$4,170
AI spend
6
Deploys
589
PII events
$235
Saved
Force-deploy to production, intercepted
AI attempted vercel deploy --prod --force at 3:11pm on a Friday. Guard blocked it before it executed.
Secret embedded in git commit, caught
AI tried to commit code with a credential token in the commit message. Fired twice in the same session.
971 PII events in a single day
Jun 19 spiked 30× the 32/day baseline. Without Guard, every one of those calls would have sent raw credentials to an LLM.
What would have happened without Guard?
The production deploy would have executed. Average cost of a prod incident at a mid-market company: $15K–$50K. $235 saved on tooling is nice. $50K in a prevented outage is a different conversation.
Guard learns as it runs. Every session makes the next one more accurate for your team.
See how it works →Built for the people responsible for how AI gets used.
Built for the people responsible
for how AI gets used.
Engineering Leaders
Your team is using 4 AI tools. You don't know which ones, what they cost, or what they did.
Conduct gives you a single view across every tool, every developer, every session, without adding any process to your team's workflow.
- →See every AI tool your team uses, in one dashboard
- →Know what AI is costing you, by person and by project
- →Enforce your engineering standards automatically
- →Answer security and compliance questions on demand
IT & Security Leaders
Your AI usage policy exists in a doc. It has never once stopped an agent.
Conduct enforces policy at the layer where agents actually run. Not in a review meeting, not in a Notion page. At the moment the tool call happens.
- →One policy layer across Claude Code, Cursor, Copilot, and more
- →No infrastructure changes. Works with your existing stack
- →Role-based policies for different teams and access levels
- →Spend budgets per developer, per tool, per project
Security & Compliance
Compliance asked for an AI audit trail. You had nothing to show them.
Every tool call, every decision, every developer, logged from day one. Export the audit trail in 30 seconds. Answer any question on demand.
- →Credentials and PII blocked before they reach any LLM
- →Every tool call logged with decision, rule, and developer identity
- →Security scanning on every PR, automatic not manual
- →Compliance audit trail exportable on demand
See it in action
AI governance in under 60 seconds
Your team is already
using AI agents.
Conduct is how you
run them and govern them.
GitHub gives the CISO a setting. ConductGuard gives them enforcement.
Free tier · No infrastructure changes · Works in minutes