AI Security Posture Management
Know your AI. Control its risk. Prove your security posture.
SentinelCore helps organizations discover AI systems, evaluate risky activity, govern AI-agent actions, measure security posture, and produce executive AI-risk evidence.
✓Tenant-isolated✓API-first✓Evidence-driven✓Monitor-only deployment available
SentinelCore Risk RadarAI Security Posture
Operational42/100
Current risk level
Medium
Management attention recommended
Top risk signalsUpdated recently
Open AI incidentsHigh-priority events require review
CriticalAgentic action riskApproval-required actions detected
HighCompliance readinessEvidence coverage remains strong
GoodThe AI visibility gap
AI adoption is moving faster than security visibility.
Organizations are deploying copilots, models, AI applications, and autonomous agents without a unified view of ownership, data movement, permissions, incidents, and risk.
- Unknown or unapproved AI applications
- Sensitive information reaching external models
- AI agents with excessive permissions
- Fragmented security and compliance evidence
- No consolidated executive AI-risk posture
SentinelCore platform
One evidence layer for AI security, governance, and risk.
SentinelCore connects technical AI-security signals with the inventory, identity, compliance, and executive evidence needed to manage AI systems responsibly.
01
ALLOW · FLAG · BLOCKAI Guard
Evaluate AI requests for prompt injection, sensitive-data exposure, unsafe activity, and policy concerns.
Explore capability02
DISCOVERAI Inventory and AI-BOM
Document AI applications, models, providers, components, owners, environments, and data flows.
Explore capability03
IDENTIFYAI Identity Governance
Track AI agents, service identities, ownership, permissions, and least-privilege findings.
Explore capability04
AUTHORIZEAgentic Guardrails
Assess proposed AI-agent actions and return allow, approval-required, or deny decisions.
Explore capability05
MEASURECompliance Readiness
Score governance evidence, identify control gaps, and provide clear recommendations.
Explore capability06
SCORERuntime Risk Radar
Combine incidents, agent actions, compliance, inventory, and identity findings into one posture.
Explore capability07
REPORTExecutive Evidence Reporting
Deliver tenant-scoped summaries, risk signals, recommendations, and defensible evidence reports.
Explore capabilityHow SentinelCore works01 02 03 04
From AI discovery to executive evidence.
SentinelCore creates a connected operating model for AI security posture management without requiring immediate production enforcement.
Discover
Register AI systems, models, vendors, data flows, identities, and ownership.
Evaluate
Assess AI requests, incidents, policy signals, and proposed agent actions.
Measure
Combine risk evidence across incidents, compliance, inventory, and AI identities.
Report
Deliver tenant-scoped risk posture, recommendations, and executive evidence.
Customer environmentAI applications and agents
SentinelCoreSecurity and governance evidence
ManagementRisk Radar and executive reporting
SolutionsAI SaaS & Agent Builders MSPs, MSSPs & vCISOs Regulated Software Companies
Built for organizations operating modern AI systems.
SentinelCore helps technical, security, and governance teams gain visibility into AI applications, agents, identities, risk signals, and evidence.
Secure AI applications without slowing development.
Monitor AI requests, document models and data flows, assess agent actions, and produce customer-facing security evidence.
Discuss your AI applicationDeliver AI-risk services across isolated customer tenants.
Support AI inventory assessments, governance reviews, recurring risk scoring, and executive evidence reporting.
Explore a partner modelBuild clearer AI governance evidence for sensitive markets.
Inventory AI systems, document ownership and data movement, review identities, and measure governance readiness.
Plan a controlled pilotSecurity & trustTenant-scoped access Hashed API credentials Audit evidence Monitor-only deployment
Designed for controlled, evidence-driven AI security operations.
SentinelCore is built around tenant isolation, authenticated API access, audit evidence, data minimization, and non-disruptive deployment modes.
Customer data, risk scores, incidents, and reports remain isolated by organization and authenticated context.
API keys are stored as secure hashes rather than plaintext credentials in the SentinelCore database.
Important security, scoring, and reporting actions create tenant-scoped audit records.
Organizations can begin with evidence and decision support before introducing production enforcement.
Managed SentinelCore pilot
Start with a controlled AI security posture assessment.
Begin with a defined 8–12 week engagement designed to establish visibility, collect evidence, measure AI risk, and produce a practical roadmap without disrupting production systems.
Typical pilot scope
- One customer organization and isolated tenant
- Up to five AI systems or use cases
- AI inventory and AI-BOM baseline
- AI identity and permission review
- One application integration
- Agent-action simulations
- Compliance-readiness scoring
- Runtime Risk Radar assessment
- Executive evidence report
- Weekly advisory review
Deployment modeMonitor-only and evidence-driven by default
Talk with Inyanza Systems
Understand your AI environment before risk becomes invisible.
Tell us about your AI applications, agents, models, and security priorities. We will help determine whether a controlled SentinelCore pilot is the right next step.
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