24/7 Behavioral Monitoring
Continuous observation of every agent decision, tool call, and data flow in production. Sub-minute detection latency across your entire agent fleet.
Runtime Governance
at Scale
Your agents are approved. Now keep them that way.
24/7 monitoring, continuous hardening, and intelligent re-approval gates that let your agents evolve while staying protected.
The final stage: from approved baseline to continuous production governance.
24/7
Runtime Monitoring
Continuous behavioral enforcement
Zero
Drift Blind Spots
Every deviation detected
100%
Policy Coverage
Every decision enforced
The Production Reality
Approval Is Just the Beginning
You profiled your agent. You passed security review. You shipped to production. But AI agents don't stay static. Models update. Behaviors drift. What you approved yesterday isn't always what's running today.
Day 1: Approved
Baseline established, security signed off, deployed to production
Week 3: Drifting
Model updated, new patterns emerging, baseline deviation growing
Month 2: Unknown
Without monitoring, you don't know what your agent is doing anymore
With Production Governance
Every drift detected. Every deviation evaluated. Every change controlled.
Continuous Enforcement Active
Two Critical Gates
Speed requires control. Production governance gives you both.
Gate 1
Pre-Production Deployment Gate
Before any agent reaches production, it must pass your policies. Risk thresholds, OWASP compliance, behavioral baselines: enforced automatically in your CI/CD pipeline.
Automated policy checks on every deploy
Block deploys that exceed risk thresholds
Auto-approve when all criteria pass
Route to human review when needed
Gate 2
Runtime Re-Approval Gate
Production behavior is continuously monitored. When drift exceeds thresholds or anomalies appear, re-approval is triggered automatically. Your agents evolve, but always under control.
Continuous behavioral monitoring 24/7
Detect model updates and prompt changes
Measure drift against approved baselines
Trigger re-approval workflows automatically
The Differentiator
Intelligent Re-Approval Gates
AI agents must evolve. That's their nature. The question is: when should they be allowed to, when should they be reviewed, and when should they be stopped? Our re-approval gates know the difference.
Model Update Detected
Your LLM provider ships a new model version. Agent behavior may have changed.
Behavioral comparison against baseline. If delta < threshold, auto-approve. Otherwise, flag for review.
Auto Re-Profile
Behavioral Drift
Agent gradually using new tool patterns over 2 weeks. 15% deviation from baseline.
Slow drift requires human judgment. Is this expected evolution or concerning deviation?
Human Review
Policy Violation
Agent attempted to access restricted data classification.
Critical violation. Agent paused immediately. Security team notified. Incident created.
Auto Block
New Capability Request
Developer adds new tool to agent. Production deployment pending.
New capability requires re-profiling and approval before production access.
Deployment Gate
Evolution Without Chaos
Your agents should evolve. That's what makes them valuable. Most behavioral changes are healthy adaptation. A few aren't. The system knows the difference, so you only deal with what actually matters. No alert fatigue. No missed risks.
Baseline learned automatically
Safe changes pass silently
Risky changes surface instantly
Every decision audit-ready
24/7 Production Control
Comprehensive runtime governance for AI agents operating at scale.
Continuous Hardening
Protection that strengthens over time. The system learns from observed behavior, auto-generates guardrails, and tightens boundaries as it understands your agents better.
Drift & Anomaly Detection
Detect both sudden anomalies and slow behavioral drift. Model updates, prompt changes, data shifts: catch deviation from approved baselines instantly.
Re-Approval Gates
When behavior changes significantly, automatically route through approval. Auto-approve safe changes, require human review for risky ones, auto-block critical violations.
Scale Operations
Manage hundreds of agents across teams. Fleet-wide dashboards, risk heat maps, team-based filtering. Governance that scales with your AI adoption.
Enterprise Integration
Connect to your existing infrastructure. SIEM/SOAR, ticketing, alerting: route findings where your teams already work.
Continuous Hardening
Auto-Generated Protection.
Your Policies on Top.
Cylestio learns your agent's actual behavior and automatically generates protective guardrails. The system continuously hardens as it observes, tightening boundaries, flagging new patterns, strengthening defenses without manual intervention.
Layer your organization's policies on top: regulatory requirements, data classification rules, industry-specific compliance. Enforced consistently across every agent in your fleet.
- Auto-generated from observed behavior
- Continuously hardened as the system learns
- Org-wide policies for compliance & regulations
- Fleet-wide enforcement across all agents
Auto-Generated by Cylestio
• Learned tool access patterns
• Behavioral boundaries from baseline
• Data flow restrictions
• Response distribution norms
+
Your Organization Adds
• HIPAA / SOC 2 / GDPR rules
• Data classification requirements
• Industry-specific compliance
• Custom business logic
=
Enforced Across All Agents
Complete protection that strengthens over time
Closes the Loop
Integrates Into Your Ecosystem
Production governance isn't a silo. Route alerts to your SIEM, create tickets in your tracker, notify teams in Slack, trigger workflows in your CI/CD. Close the loop back to development and security.
SIEM/SOAR
Security events
Ticketing
Auto-create issues
Back to Dev
Fix and re-deploy
Alerting
Real-time notifications
The Complete Lifecycle.
From IDE to Production.
Everything connects. The behavioral profile from development becomes the production baseline. Runtime monitoring enables continuous hardening. Insights feed back to development. Protection that strengthens with every deployment.
Develop & Profile
Build the baseline
Agent Inspector
Approve
Evidence → Gate
Pre-production check
Govern
24/7 enforcement
Runtime monitoring
Re-approval triggers feed back to development for continuous improvement
Open Source vs Enterprise
Agent Inspector is full-featured and free. Enterprise adds production governance at scale.
Capability
OSS
Enterprise
Static Analysis
Dynamic Analysis
OWASP Compliance
Risk Scoring
All Report Types
MCP Integration
Behavioral Clustering
Time Machine
Pre-Production Gates
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24/7 Runtime Monitoring
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Real-time Policy Enforcement
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Re-Approval Workflows
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Fleet Management Dashboard
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SIEM/SOAR Integration
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SSO/RBAC
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SLA Support
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Ready for Production Governance?
Let's talk about governing your AI agent fleet at scale. 24/7 monitoring, intelligent re-approval, enterprise integration.