No coding. No compliance violations. Describe your security frameworks — RhinoAgents builds, queries your systems, and flags compliance risks autonomously.
An AI agent is software that understands security frameworks, reasons through access logs, and manages auditing workflows autonomously. Unlike static trackers, a compliance agent actively monitors repository changes, vets cloud settings, and alerts security teams in real-time.
Scans database settings, file repositories, and system configurations to verify alignment with compliance rules.
Integrates directly with Workday or learning tools to check security training completion and send reminders.
Automatically parses vendor security documentation, highlights risks, and generates audit log reviews.
Logs system access attempts and security edits, maintaining a tamper-proof audit trail for SOC 2 checks.
// Anatomy of an AI Agent
No developers. No custom scripts. Go from policy guidelines to an active AI agent in under an hour.
Write a plain-English prompt like "Audit database settings and verify encryption compliance rules"
Policy Monitor, Training Tracker, Audit Logger — or custom mix.
Link AWS, GitHub, Workday, Slack, and Google Sheets with one-click integrations.
Drop in SOC 2 requirements, HIPAA checklists, and system policy rules.
Activate the agent. It begins checking system settings and flagging violations.
// Example prompts that build real agents on RhinoAgents
"Create an AI agent that monitors AWS database settings. If any snapshot is unencrypted, log a violation and trigger auto-encryption."
"Build an AI agent that scans GitHub repositories for hardcoded passwords or API keys and flags them on commit."
Monitor incoming webhook actions, processed files, and system workflows real-time.
Undetected policy violations and manual training chasing cause auditing failures. Here is where security leaks, and how AI plugs every gap.
Database settings are adjusted, violating HIPAA rules. Manual checking takes weeks, risking massive audit penalties.
Employees skip mandatory security training. HR spends hours manually emailing team members to complete courses.
Developers accidentally commit active API keys to public repositories, exposing the database to hacker attacks.
Security teams spend days manually reviewing vendor SOC 2 files, slowing down enterprise sales cycles.
Ex-employees retain active database access because offboarding checklist updates are delayed.
Security events and configuration updates are not logged in a central file, causing auditing failures.
Each agent is purpose-built for enterprise workflows. Describe what you need — RhinoAgents handles the rest.
Monitors cloud settings and alerts team of storage encryption violations.
Tracks employee compliance course completion and emails warnings.
Scans GitHub repositories for hardcoded passwords and API keys on commit.
Parses vendor SOC 2 reports and highlights potential security risks.
Tracks database access attempts and flags unauthorized entries automatically.
Alerts operations team of workplace safety checklist deviations.
Maintains a tamper-proof digital log of system events and updates.
Ensures server settings and compliance files are logged in database.
See how automated workflow routing compares directly against typical manual administrative setups.
The AI checks system settings and databases against uploaded rules (SOC 2, ISO 27001), flagging deviations in real-time.
Yes. By connecting system APIs (like AWS or GitHub), it can trigger auto-encryption or alert lockouts upon violation.
Yes. It logs all actions and checks, providing formatted, compliant report files ready for security audits.
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