AI Risk Assessment
Inventory current AI usage, examine sensitive workflows and data exposure, review access, and prioritize risk.
AI SECURITY CONSULTING
Secure the AI
your teams actually use.
Turn AI risk into practical decisions, controls, policy, and operating habits—from enterprise platforms to standalone tools such as Claude Code and Cursor.
CONSULTING SCOPE
Four workstreams. One security operating model.
Each engagement is tailored to the organization’s size, systems, AI usage, and risk profile. The scope is agreed before work begins.
Governance Framework
Define accountable owners, risk tiers, approvals, exceptions, reviews, decision rights, and oversight.
AI Policy
Create practical acceptable-use, data-handling, procurement, human-review, and incident-response rules.
Security Setup Plan
Design identity, access, data, logging, lifecycle, vendor-review, and administrative controls.
CLAUDE CODE / CURSOR / STANDALONE AGENTS
Secure coding agents without stopping useful work.
Coding assistants can read repositories, invoke tools, run commands, connect to external services, and act with varying levels of autonomy. We help define a control strategy that matches the tool, plan, deployment model, and sensitivity of the codebase.
Permissions and workspace scope
Limit repositories, directories, tools, commands, and write access. Establish safer default modes and require approval for higher-impact actions.
Secrets and sensitive code
Define approved data, privacy settings, exclusions, secret-scanning practices, credential handling, and rules for regulated or proprietary code.
MCP, extensions, and integrations
Inventory connected tools, allowlist approved integrations, review configuration files, and control what external systems an agent can reach.
Commands, sandboxes, and network access
Use isolated or constrained execution where appropriate, restrict egress, separate test from production, and retain human review for destructive or sensitive actions.
Accounts and managed settings
Use managed teams, approved identities, centralized policies, extension controls, and least-privilege access where the selected tool and plan support them.
Monitoring and control testing
Review agent activity, repository protections, exceptions, incidents, and configuration drift. Test controls as tools and workflows change.
Claude Code, Cursor, and related names are third-party marks. Available controls vary by product version, plan, configuration, and deployment model. Recommendations are validated against the customer’s actual environment.
CORE DELIVERABLES
Documents that drive operating decisions.
The deliverables are built to be used by leadership, security, IT, legal, administrators, and business owners.
Executive risk findings and prioritized roadmap
A clear view of the current state, major exposures, decisions, and sequenced actions.
AI governance framework
Defined ownership, risk classification, approval workflow, reviews, exceptions, and accountability.
AI acceptable-use and data-handling policy
Plain-language rules employees can understand and leaders can enforce.
Security control and configuration plan
Recommended identity, permissions, data, logging, retention, lifecycle, and administrative controls.
Operating roadmap
A repeatable approach for reviewing new AI use cases, changes, incidents, and emerging risk.
WAYS TO ENGAGE
Start with the security problem in front of you.
AI Security is a consulting service, distinct from any third-party software subscription.
AI Program Assessment
Assess current usage, governance, policy, and exposure across the organization.
Claude Code / Cursor Security
Focus on developer AI tools, repositories, credentials, agent permissions, connected tools, and execution controls.
Secure Implementation
Coordinate recommendations with a separately scoped implementation and training engagement.
PRACTICAL AI SECURITY CONSULTING
Know the risk. Set the rules. Build the operating model.
Begin with a focused developer-tool review or a broader AI security engagement.