Your enterprise GPT - secure and built for intelligent operations.
Build AI that works for you
Reasoning agents think in real time; operational agents execute reliably.
Identify unmanaged AI agents operating freely across cloud platforms and SaaS apps.
Maintain audit trails, verify agent permissions, and demonstrate complete identity coverage.
Maintain audit trails, verify agent permissions, and demonstrate complete identity coverage.
Move from reactive firefighting to real-time alerting, cutting detection from hours to seconds.
Achieve unified visibility across agents, APIs, and cloud platforms with no hidden integrations.
Dynamic access controls adapt to agent behavior to prevent over-privileged deployments.
Generate automated audit trails and policy enforcement to maintain continuous regulatory readiness.
Detect all AI agents across cloud, SaaS, and on-premises without manual inventory efforts.
ML-powered baseline establishment and anomaly detection tuned specifically for agent reasoning.
Monitor every agent interaction with external services, capturing parameters and return values.
Visualize complex relationships between agents, users, resources, and critical external dependencies.
Single-pane-of-glass monitoring and alerting that integrates seamlessly with your security workflows.
Anomaly detection
Rule based only
Static thresholds
ML behavioral baselines
Least privilege control
Manual configuration
RBAC only
Identity first dynamic
Automated discovery
Scripted scans
Tag based
Continuous auto discovery
API tracking
Sampled traffic
Endpoint only
Deep parameter inspection
Unified alerts
Siloed views
Metrics focus
Single pane security
Threat response automation
Manual intervention
Webhooks only
Machine speed containment
Basic IAM hooks
Basic IAM hooks
SSO basic
Native identity graphs
Compliance auditing
Periodic logs
Export only
Continuous audit trails
Treats AI agents as first-class digital identities with native least privilege controls.
Unified platform combines multiple security disciplines, eliminating tool sprawl for monitoring.
ML-driven anomaly detection learns agent baselines, reducing false positives vs. rule-based systems.
Machine-speed threat reaction integrates with identity and access management for instant enforcement.
Fintech Security Ops Team
Data Exfiltration Incidents
Install monitoring agents on cloud or on-premises infrastructure quickly.
ML models learn normal agent behavior and tune thresholds automatically.
Define thresholds for anomalies and integrate with your existing SOC tools.
Use real-time dashboards to track agents and automate incident response.
Get a custom architecture review and pilot plan in 48 hours.