API, Application, and MCP Security
Know what your applications and agents can reach.
Evaluate identity, permissions, tools, APIs, and data boundaries before expanding what connected applications and AI agents can do.
Establish the API and application baseline
We help clarify what is exposed, who owns it, how access is authorized, and where specialist assessment or ongoing protection is needed.
- API discovery and inventory, including shadow and unmanaged APIs
- API posture assessment and authentication and authorization review
- Sensitive-data exposure and third-party integration risk
- API abuse and anomaly detection requirements
- Web application and API protection, secure application-development foundations, and ongoing monitoring options
Make MCP understandable to the business
Model Context Protocol, or MCP, is a way for AI assistants and agents to connect with tools and data. It can make integration easier. Each server or connector still needs a decision about who may use it, what tools it exposes, which information it can reach, and which actions require approval.
- MCP server and connector inventory and approved-server governance
- Tool-level permissions, identity, and least-privilege access
- Data-boundary controls and third-party connector risk
- Agent activity logging and named accountability
- Human approval requirements, secure agent architecture, and continuous monitoring
Separate access from permission to act
Authenticating an agent does not by itself establish permission for every tool or business action. We help evaluate user and agent identities, delegated access, read and write boundaries, approval points, and evidence that connects an action to its owner.
Bring the right security resources into the review
GlobalLinc helps define the risk questions, compare assessment and protection approaches, and coordinate suitable specialists. Recommendations can include architecture changes, narrowed access, monitoring, provider evaluation, or a separately authorized technical assessment.
A focused engagement
API and MCP Risk Review
The scope and resources are shaped around your priority. Use this as a starting point for that conversation.
Who it is for
Security, application, and architecture teams connecting AI assistants or agents to business systems.
Triggering events
New MCP servers or connectors; agent write access; third-party integration; incomplete API inventory; identity or data-exposure concern.
Scope
Evidence-based API and MCP inventory; posture and access review; tool-level permissions; third-party and data exposure; agent approvals; secure architecture and monitoring requirements.
Customer inputs
API specifications and gateway inventories; server and connector lists; identity and authorization designs; data flows; sanitized logs; approval workflows; relevant supplier terms.
Deliverables
Connection and ownership map; prioritized risk register; permissions and approval findings; recommended architecture and monitoring controls; specialist-assessment plan; remediation ownership and sequencing.
Expected next step
Reduce an agreed exposure or commission an explicitly authorized technical assessment; validate controls before expanding agent authority.
Boundaries
Advisory review is not a penetration test or security certification. Scanning, exploitation, source review, and configuration changes require written authorization, qualified specialists, and separate scope. MCP itself does not establish complete governance.
MCP is a protocol and architecture consideration, not a GlobalLinc product. A scoped advisory review is not a penetration test, certification, or guarantee of security. Scanning, exploitation, code review, and remediation require explicit written authorization and qualified delivery resources.
A practical next step
Start with your next decision.
Tell us what you are trying to accomplish and where the decision needs more clarity.