AI security architecture
Map models, agents, data, vendors, and identities into a control plane that your business and technical teams can run. Define access boundaries before automation becomes exposure.
01 / Security-led AI leadership
Fractional AI leadership for companies moving faster than their risk model. We turn executive ambition into secure systems, governed agents, and an operating advantage your team can actually own.
Built for leadership teams that need decisions, controls, and delivery—not another pile of slideware. Security leads the engagement; growth and automation follow.
Map models, agents, data, vendors, and identities into a control plane that your business and technical teams can run. Define access boundaries before automation becomes exposure.
Deploy and operationalize an agent-focused defensive layer with clear alert paths, human escalation, and executive-level reporting.
Set acceptable-use policy, vendor review, risk tiers, testing standards, and incident ownership. Stress-test the workflows that matter before they fail in production.
Prioritize the opportunities with defensible economics, appoint accountable owners, and install a delivery cadence that turns scattered experiments into a managed portfolio.
The first month creates visibility and decision rights. The retainer keeps the system moving—securely, measurably, and with an executive at the table.
Build the real inventory: where AI touches data, customers, decisions, and credentials.
Translate risk into architecture, policy, ownership, and response paths the team will use.
Run the AI portfolio as a leadership function: review, prioritize, test, and improve.
The goal isn’t slower AI. It’s AI that can survive contact with the real business.
Define which decisions an agent can make, what needs approval, and who owns the outcome when the system behaves unexpectedly.
Separate sensitive data, privileged tools, and customer-facing workflows before they become a single broad trust zone.
Give security, operations, and leadership one shared path from detection to containment, recovery, and stakeholder communication.
Tie each AI initiative to an owner, a baseline, an economic target, and a risk tier—then make continuation a deliberate decision.
A deliberately limited engagement for teams with consequential AI plans. Start with a paid security review, then move into a monthly operating retainer built around your risk surface and delivery agenda.
The right engagement has executive sponsorship, meaningful data or automation risk, and a mandate to change how AI is governed and delivered.
Founder-led, private-equity-backed, and mid-market companies with active AI initiatives—but without a senior operator accountable for strategy, security, and execution across the portfolio.
Because AI adoption changes the attack surface, the data boundary, and the decision chain at the same time. Security creates the operating constraints that let the rest of the portfolio move with confidence.
It is an agentic security product created by Cyberchain and made available in ClawHub. The engagement can include planning and operational support around its use as part of a broader AI security program.
Each engagement begins with a scoped security review. Ongoing work is structured as a premium monthly retainer with recurring billing and reserved strategy time once the engagement terms are approved.