Services
Vertotech helps organizations move from AI risk awareness to controls that can be operated, measured, and audited.
Board, CISO, CTO, and risk leadership support for AI governance strategy, operating model design, and standards alignment.
Hands-on security engineering for AI applications, agents, cloud control planes, runtime monitoring, and policy enforcement.
Practitioner-grade training for security, platform, product, risk, and architecture teams operating enterprise AI systems.
Method
Inventory AI systems, models, agents, prompts, tools, data paths, identities, owners, and current controls.
Map exposures to enterprise risk, regulatory obligations, platform architecture, and policy requirements.
Run threat models, red-team scenarios, posture checks, policy tests, and evidence reviews.
Implement governance workflows, runtime controls, monitoring, exception handling, and audit reporting.
FAQ
Both tracks reinforce each other. Services help enterprises solve immediate AI security and governance problems while Provenant becomes the platform for repeatable validation, monitoring, and reporting.
Yes. Engagements can map to NIST AI RMF, ISO 42001, OWASP Top 10 for LLM, SOC 2, PCI, HIPAA, GDPR, and internal enterprise control libraries.
Yes. We review agent architecture, MCP tool metadata, tool scopes, prompt injection exposure, context poisoning, runtime traces, approval flows, and drift detection.
A scoped risk view, asset and control map, prioritized remediation backlog, validation evidence, and an operating roadmap that can feed Provenant adoption.
We can start with one critical agent, one AI platform, or the governance model for an enterprise portfolio.