Compliance Verification

Automated verification that your AI agents follow policies.

MeetLoyd's Compliance Verification system provides continuous, automated monitoring to ensure your AI agents operate within defined policies. Get mathematical confidence that your agents are compliant -- without manually reviewing every action.

Key Concept

MeetLoyd uses statistical sampling to verify compliance efficiently. You don't need to review every action -- the system provides high-confidence verification with minimal overhead.

What It Does

• Define compliance policies with rules your agents must follow
• Automatically verify agent behavior against those rules
• Get confidence scores on compliance levels
• Receive alerts when violations are detected
• Enforce actions automatically (warn, pause, or block)

Default Policies

Every workspace comes with 7 pre-configured verification policies covering four compliance categories. These are automatically created on first access and provide immediate protection:

Policy	Category	Enforcement	What It Checks
Data Access Compliance	Regulatory	Warn	Scope boundaries, cross-tenant access, PII exposure
Cost Control Guard	Operational	Warn	Per-action cost limits, token budgets, tool call frequency
Task Completion Quality	Operational	Audit	Abandoned tasks, retry loops, output quality
Prompt Injection Defense	Security	Warn	System prompt overrides, role impersonation, manipulation
Credential & Secret Protection	Security	Block	API keys, passwords, connection strings in output
Content Safety & Tone	Ethical	Audit	Professional standards, harmful content, bias
Transparency & Disclosure	Ethical	Audit	AI identity honesty, capability claims, uncertainty

You can edit, delete, or add to these at any time. They serve as a starting baseline -- customize them to match your specific compliance requirements.

Verification Results

Each verification produces:

• Compliance Rate: Percentage of sampled actions that passed
• Confidence Interval: Statistical bounds on true compliance
• Verdict: Compliant, Non-Compliant, or Inconclusive
• Evidence: Details on any violations found

Verdicts Explained

Verdict	Meaning	Action
Compliant	High confidence agents are following policy	No action needed
Non-Compliant	Violations detected above threshold	Review and remediate
Inconclusive	Not enough data for confident verdict	Wait for more samples

Enforcement Modes

Mode	Behavior	Use Case
Audit	Log only, no intervention	Testing new policies
Warn	Send alerts, allow operations	Most production policies
Block	Pause team until resolved	Critical compliance requirements

Best Practices

For startups: Start with a few critical policies, use Audit mode while tuning, and focus on security and data protection.

For enterprises: Create policies for each regulatory requirement, use Warn mode with escalation to compliance team, and enable continuous verification for critical policies.

For regulated industries: Map policies to specific regulations (GDPR, HIPAA, etc.), use Block enforcement for critical violations, and maintain verification history for audits.

Governance Framework

Overall governance controls

Audit Logs

Detailed activity logs

Team Coherence

Drift detection