Cyber Titan
Turn GenAI adoption into practical guardrails, and get your engineers ready to secure your AI workloads and environments.
The Cyber Titan difference
Practical controls, engineer-ready enablement, and an expert who's done the work. No unnecessary upsells.
Services
Two capabilities, one partner. We provide practical AI security governance alongside cloud security training that gets teams job- and cert-ready.
A focused two-week engagement that turns GenAI adoption into practical controls. You'll walk away with an AI risk inventory, an acceptable-use policy, threat models for copilots and agents, and an executive readout your leadership can act on. It's all structured around NIST AI RMF and ISO/IEC 42001, so the work maps to the standards your customers and auditors already recognize.
Scope a sprintHands-on enablement that gets your engineers ready to secure AI workloads and cloud environments.
Plan a cohortOWASP LLM and MCP Top 10 workshops, threat-model templates, and a secure-build checklist so engineers ship copilots and agents safely.
Enable your teamWe make governance operational. That means mapping identity, data boundaries, logging, and monitoring to the frameworks your customers and auditors expect, from NIST AI RMF and ISO/IEC 42001 to your cloud baselines, without the busywork.
Map your controlsPreparation that makes AI red-team engagements count. We help you define scope, prioritize the risks worth testing, set rules of engagement, choose realistic scenarios, and turn findings into ranked remediation priorities. It works the same way whether the testing is run by your team or an outside firm.
Get engagement-readyWe map your AI program to NIST AI RMF and the ISO/IEC 42001 management-system model, so governance is documented, repeatable, and ready for customer-security reviews and audits.
Align your programAI governance
We help you stand up AI governance that holds up to scrutiny. That means defining ownership, policy, and controls for how your organization adopts and builds with AI, then mapping that program to the frameworks your customers, partners, and auditors already recognize.
We structure your program around the framework's four core functions: Govern, Map, Measure, and Manage. AI risk gets identified, assessed, and monitored on a repeatable cadence, rather than case by case.
We help you establish the building blocks of an AI management system: policy, roles, risk treatment, and continual improvement. The result is governance that's documented and operational, positioning you for formal assessment whenever you're ready to pursue it.
An acceptable-use policy and defined decision rights, so teams know what's allowed, who approves exceptions, and how new AI use cases get reviewed before they ship.
Control mappings, threat models, and records that make audits and customer-security reviews faster, without turning governance into paperwork no one maintains.
How we work
Most AI-security efforts start with a wall of policy no one reads. Ours begins with a conversation. In a short video consultation, we learn how your teams actually use and build with AI.
Map every AI use case and cloud workload, along with the data involved, who owns it, and where you're most exposed today.
Turn that picture into practical controls: an acceptable-use policy, threat models, and a secure-build checklist teams will actually follow.
Train your engineers to apply the guardrails and grow toward AWS, Azure, and GCP security roles. An executive readout keeps leadership aligned.
AI red-team readiness
Before a single test runs, the outcome is shaped by how well the engagement is planned. We help you get ready, so an AI red-team exercise, whether run by an internal team or an outside firm, stays focused, stays safe, and produces findings you can act on.
Agree on the models, applications, agents, data, and environments that are in and out of scope, and on what a realistic attacker would actually be trying to achieve.
Prioritize the AI-specific risks worth testing, including prompt injection, data leakage, excessive agency, and insecure output handling, using the OWASP LLM and MCP Top 10 as a shared reference.
Establish authorized targets and techniques, testing windows, data-handling requirements, escalation paths, and hard stops that protect production systems and users throughout.
Choose concrete scenarios that reflect how your systems are genuinely used and abused, so effort goes toward the attacks that matter rather than a generic checklist.
Turn results into a ranked remediation plan that spells out what to fix first, who owns it, and how you'll verify it, so the engagement ends in action, not just a report.
Why Cyber Titan
Cyber Titan is led by an experienced security practitioner, trainer, and CISSP. The person who scopes your work is the person who does the work.
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