Securing Agentic AI Executionwith WWT + Crittora
Agentic AI is crossing the execution boundary.
As agents call tools and trigger workflows, customers need control at the moment of action.
40%+
Agentic AI projects at risk
Gartner predicts over 40% of agentic AI projects will be canceled by 2027 because value and risk controls remain unclear.
80%
AI agents have taken unintended actions
SailPoint found 80% of companies say AI agents have taken unintended actions, including unauthorized access or data sharing.
1 in 8
AI breaches linked to agentic systems
HiddenLayer reports autonomous agents now account for more than 1 in 8 reported AI breaches.
How can businesses let AI agents act without giving them too much authority?
The answer: evaluate the agent, validate the path, enforce authorization before action, and produce proof after execution.
What Crittora Helps WWT Customers Achieve
A modular motion for customers moving agentic workflows from pilot to governed production.
Move Beyond AI Pilots
Help customers progress from agentic AI experimentation to governed deployment.
Reduce Ambient Authority Risk
Limit broad standing permissions and constrain what agents can do at runtime.
Validate Secure Execution Patterns
Support architecture validation before customers scale agentic workflows.
Give Security Teams Proof
Provide proof-of-execution receipts instead of relying only on logs or after-the-fact monitoring.
Create a Repeatable Governance Motion
Give WWT a consultative path for AI security, modernization, and operational readiness conversations.
Evaluate Your Agents Before They Act at Scale
A value-add for WWT clients: a focused readiness conversation to identify where agents are gaining authority, where execution risk is emerging, and what should be validated before scale.
Customer receives
Risk view
Where agent authority and execution exposure are showing up.Next-step path
Workshop, demo, reference architecture, validation, or pilot.Validation focus
One workflow and one control pattern to prove together.Which agents or automations are taking action today
Which systems, tools, APIs, or workflows those agents can access
Where agents may have excessive authority
Whether actions are authorized before execution
Whether unauthorized actions fail closed
Whether the organization can prove what happened after execution
Where governance, auditability, or security gaps may slow production deployment
Conversation Starters for WWT Teams
Use these when a customer is exploring agents, tool-calling, or AI-driven workflows that can take action.
Are any of your AI agents allowed to take real action across tools, workflows, APIs, or systems of record?
How are you controlling what an agent is allowed to do at the exact moment it acts?
Are agents using broad credentials, standing permissions, or access scopes that were designed for humans or traditional applications?
What happens if an agent attempts an unauthorized or unverifiable action?
Can you prove which agent acted, under which policy, and why the action was allowed or denied?
Is security, governance, or auditability slowing down your move from AI pilots to production deployment?
Seller talk track
When a customer is letting AI agents take action, Crittora gives WWT a runtime control layer to verify authority before execution and produce proof after execution.
Control belongs before the action.
Crittora sits where agent intent becomes system execution: verifying authority, failing closed, and producing proof before workflows reach tools, APIs, and systems of record.
Where Crittora Fits
The control point sits between the agent and the systems it wants to change.
AI Agent
Initiates action
Crittora Secure
Verifies authority, enforces policy, fails closed, issues proof
MCP / Tool / API
Receives authorized request
System of Record
Executes only verified actions
Use Case Library
Scan the trigger. Expand only the scenarios that match the customer conversation.
Agentic AI Governance
“We are building AI agents that can take action.”
WWT opportunity: Help the customer move from experimentation to governed execution.
Crittora role: Enforce runtime authority and generate proof for agent-driven actions.
MCP / Tool-Calling Security
“Our agents need to call tools or services.”
WWT opportunity: Add governance to the tool execution layer.
Crittora role: Verify permissions before the tool call executes.
AI Agents Accessing Systems of Record
“Agents need access to operational systems or sensitive workflows.”
WWT opportunity: Reduce risk around system access and action authority.
Crittora role: Constrain what agents can do and prove what occurred.
Cloud & Infrastructure Automation
“We are using AI to assist with deployment or infrastructure operations.”
WWT opportunity: Support safer automation across cloud and DevSecOps environments.
Crittora role: Enforce action-level permissions before execution.
Regulated Workflow Automation
“We need auditability for AI-assisted decisions or actions.”
WWT opportunity: Support compliance-oriented AI modernization.
Crittora role: Provide verifiable proof-of-execution receipts.
Public Sector AI Security
“We need secure AI adoption in a high-trust environment.”
WWT opportunity: Support public sector AI modernization and risk reduction.
Crittora role: Provide fail-closed execution control and proof at the point of action.
Where WWT Can Lead
Six practical paths for architecture, validation, and customer readiness conversations.
Secure Agentic AI Reference Architectures
Help customers design governed AI execution patterns.
Runtime Governance for Agentic Workflows
Add control at the point of action.
ATC Validation & Demonstrations
Prove the architecture in a testable environment.
Enterprise AI Modernization Initiatives
Support secure AI movement from pilot to production.
Public Sector & Regulated Industry AI Security
Address security, auditability, and operational risk.
AI Security & Execution Governance Workshops
Open consultative customer conversations.
Seller + Champion Resources
A private set of assets to help WWT teams evaluate Crittora, start internal conversations, and identify customer-fit opportunities.
Partner Enablement Brief
Deeper guide for WWT sellers, partner managers, and solution teams.
Download BriefHow to Advance an Opportunity
Start with one customer, one agentic workflow, and one execution-risk scenario.
Identify a Customer Trigger
Customer is exploring AI agents, MCP/tool-calling, automation, or AI workflows that take action.
Run an Internal Fit Check
WWT and Crittora align on the customer context, risk scenario, and best entry point.
Offer Evaluate Your Agents
Lead with a consultative readiness conversation rather than a product pitch.
Select One Workflow
Choose a specific agentic workflow where execution authority, governance, or proof matters.
Validate the Architecture
Use demo, reference architecture, or ATC-style validation to prove the control pattern.
Move to Pilot or ATC Path
Advance the most relevant use case into pilot, architecture validation, or customer workshop.