AI Agent Security Assessment
AI agents introduce risk when models can select tools, call APIs, modify records, execute code, or trigger workflows. SCS validates whether controls hold when the agent is manipulated or confused.
AI Agent Security Assessment.
Secure Consulting Solutions (SCS) provides an AI Agent Security Assessment for systems where models can select tools, call APIs, modify records, execute code, or trigger workflows.
The assessment validates whether agent controls hold when prompts, context, tools, approvals, and authorization boundaries are manipulated or confused.
Deliverables include tool-call evidence, unsafe action paths, approval boundary analysis, remediation guidance, and retest scenarios.
Assessment summary
| Identity | Which users, roles, service accounts, or workflows can trigger agent actions. |
| Evidence | Prompts, tool calls, tool inputs and outputs, approval states, logs, and state changes. |
| Risk | Unsafe tool use, approval bypass, authorization failure, goal hijacking, and workflow abuse. |
| Deliverable | Executive summary, technical report, tool-call evidence, findings CSV, remediation guidance, and retest plan. |
What this assessment answers
- Can prompt injection drive the agent into unauthorized tool use?
- Are tool permissions scoped to the user and task?
- Can the agent perform unsafe actions without approval?
- Do API trust chains enforce authorization outside the model?
- Can multi-step manipulation create a workflow abuse path?
What we test
- Tool misuse
- Unsafe actions
- Insecure tool execution
- API trust chain failures
- Authorization boundary failures
- Goal hijacking
- Workflow abuse paths
- Audit and logging gaps
Evidence captured
- Prompt and tool-call sequence
- Tool inputs and outputs where available
- Identity and role context
- Action approval boundaries
- Resulting state changes
- Remediation and retest guidance
How SCS evaluates agent security.
Agent testing focuses on what the system can do, not only what the model can say. SCS tests tool boundaries, workflow assumptions, and operator approval points.
What an agent security evaluation covers.
Agent assessments are scoped around consequence: what the agent can do, on whose authority, and which control is supposed to stop it. The evaluation below reflects a standard engagement.
Evaluation contents
| Tool inventory | Every tool, API, and action the agent can reach, and the identity each call executes under. |
| Authorization boundaries | Whether tool access reflects the requesting user’s role rather than a shared or elevated service identity. |
| Approval enforcement | Whether high-impact actions require the expected approval, and whether that gate can be bypassed. |
| Unsafe action paths | The specific sequence that drives the agent to act outside its intended task or business boundary. |
| State-change evidence | The prompt, tool selection, inputs, outputs, and resulting record or system change. |
| Remediation guidance | The gating, scoping, or identity change that constrains the action. |
| Retest cases | Named cases so a constrained action can be verified after remediation. |
Blocking unsafe or unauthorized agent actions
The most common agent finding is not a manipulated model. It is an agent that executes every tool call under one privileged service identity, so any user who can reach the agent inherits the full capability of that identity regardless of their own role.
Effective enforcement is therefore structural. Tool calls should execute under the requesting user’s authority, high-impact actions should pass an approval gate the model cannot satisfy on its own, and irreversible operations should be separated from routine ones. Controls placed only in the system prompt tend to fail, because that is precisely the layer an attacker manipulates.
SCS reports each unsafe path with the specific control that would block it, so remediation lands in the orchestration and permission layers where it will hold.
AI agent assessment questions.
Can you test unsafe tool use?
Yes. SCS tests whether the agent can be driven to call tools outside the intended user role, task, approval flow, or business boundary.
Do you validate approval bypass?
Yes. The assessment checks whether high-impact actions require the expected approval and whether prompt or workflow manipulation can bypass that control.
Do you inspect tool-call evidence?
Yes, when available. Findings capture the prompt, tool selection, inputs, outputs, identity context, approval boundary, and resulting state change.
Is this the same as chatbot testing?
No. Chatbot testing focuses heavily on answers. Agent testing focuses on what the system can do through tools, APIs, workflows, and permissions.
How do you block unsafe or unauthorized agent actions?
Durable enforcement sits outside the model. SCS assesses whether tool calls execute under the requesting user’s identity, whether high-impact actions pass an approval gate the agent cannot satisfy alone, and whether irreversible operations are separated from routine ones. Findings name the control that would block each unsafe path.
What does an agent security evaluation cover?
The evaluation covers the tools and APIs the agent can reach, the identity each call runs under, the approval boundaries around high-impact actions, and the sequences that drive the agent outside its intended task. Evidence includes the prompt, tool selection, inputs, outputs, and resulting state change.
Do you test multi-agent or agent-to-agent workflows?
Yes, when they are in scope. Handoffs between agents are a frequent weak point, because an instruction accepted by one agent may be treated as trusted by the next. SCS tests whether authority and user context survive each handoff or are silently escalated.
Do you test agents that can modify records or execute code?
Yes. Those are the highest-consequence targets. Testing is scoped and approved in advance, and can be run against a non-production environment or with reversible operations where production state change is not acceptable.