Enterprise AI security
Assess and harden LLM applications, agents, model integrations, APIs, prompts, MCP tools, and cloud AI workloads.
Solutions
Enterprise AI security, governance, and trust
Vertotech helps security and risk leaders make AI systems visible, governed, validated, and continuously monitored.
AI governance and compliance
Create an AI asset inventory, map risks to policy, collect evidence, manage exceptions, and prepare audit reporting.
Continuous validation
Move from point-in-time reviews to risk scoring, telemetry, drift detection, and control validation across the AI lifecycle.
Pillars
The operating model
Each solution maps to one of three durable pillars: security engineering, governance automation, and applied research.
AI security
Security engineering for LLM applications, agents, model pipelines, cloud services, and runtime control planes.
Agent securityPrompt securityLLM securityMCP securityAPI securityModel securityIdentity and secretsSupply chain securityRuntime monitoringThreat detectionRisk scoringRed teaming
AI governance
Evidence-driven governance for AI assets, model registries, policy workflows, audits, and regulatory alignment.
AI asset inventoryModel registryAgent registryPolicy engineRisk frameworksCompliance automationEvidence collectionAudit reportingNIST AI RMFISO 42001OWASP Top 10 for LLMSOC 2PCIHIPAAGDPR
AI research
Threat research, standards analysis, training material, and applied field work for enterprise AI risk teams.
Threat researchWhite papersStandards mappingTechnical trainingIndustry analysisControl patternsAdversarial testingAgent failure modes
Framework alignment
NIST AI RMFISO 42001OWASP Top 10 for LLMSOC 2PCIHIPAAGDPRMCP securityMITRE ATLAS
Need a practical AI control model?
Start with an estate review, threat model, policy map, or Provenant readiness workshop.