AI Agent Governance & PR Risk Scoring — Re-entry.ai

AI agents generate code with 2.74x more vulnerabilities. Re-entry.ai is the governance layer for the agentic era — scoring every PR for risk, enforcing policies automatically, and taking action before risky code reaches production.

Automated PR Risk Scoring

Every pull request is analyzed in real time using code diffs, file sensitivity, historical incident patterns, and guard thresholds. Re-entry.ai assigns a risk score and takes automated action: blocking high-risk merges, requesting additional reviews, creating tickets, or escalating to stakeholders — all without manual intervention.

AI Agent Governance

As AI coding agents like Cursor, GitHub Copilot, and Claude Code take on more autonomous work, Re-entry.ai provides the governance layer above them. Through the MCP Gateway API, agents can query risk assessments, check guard compliance, and receive allow/block/require-human decisions before executing changes. Every API call is logged in an immutable audit trail.

Guard-Driven Incident Response

Human-defined guards are machine-enforced. Define risk thresholds, required reviewers, and automatic actions once — Re-entry.ai enforces them every time. Incidents trigger automated escalation workflows to Slack, PagerDuty, or Jira. Human override is always available, and every action is explained in plain language.

Guardian Mode — Branch Protection

Guardian Mode monitors protected branches using GitHub webhooks for instant detection. The risk engine assesses push events in sub-second response time and creates interventions before damage is done. Configure guards per repository or globally across your organization.

Supported Integrations

• GitHub — pull request monitoring, branch protection, webhook-based risk detection
• Jira — automatic ticket creation, issue linking, ticket context in risk assessments
• Slack — stakeholder notifications, incident alerts, escalation messages
• Sentry — error and incident signal ingestion
• PagerDuty — incident escalation and on-call alerting

Built for the Agentic Era

By 2027, 90% of code will be written by AI agents. Re-entry.ai is designed for engineering teams navigating this transition — governing autonomous AI coding agents, enforcing policies without overhead, and maintaining full audit trails for compliance. It sits above GitHub, Jira, and Slack as the risk and governance layer.

Frequently Asked Questions

What is re-entry.ai?

Re-entry.ai is the governance layer for the agentic era. It scores every pull request for risk using FMEA methodology (Likelihood, Impact, Detectability), enforces your policies automatically, and takes action — blocking risky merges, assigning reviewers, creating tickets, and escalating incidents. It governs AI coding agents like Cursor, Claude Code, and Devin through the MCP Gateway.

How does PR risk scoring work?

Re-entry.ai connects to GitHub via OAuth and analyzes every pull request using code diffs, changed file types, historical incident patterns, and your team's guard thresholds. It assigns a risk score in real time and takes automated action based on the result.

Can I override automated actions?

Yes. Human override is always available. If a guard blocks a merge, an authorized reviewer can manually unblock it with a justification that is recorded in the audit log. Re-entry.ai enforces governance, but humans always have the final say.

What AI coding agents does it support?

Re-entry.ai works with any AI coding agent that supports the Model Context Protocol (MCP), including Cursor, GitHub Copilot, and Claude Code. Agents query the MCP Gateway to get risk assessments and guard decisions before making changes.