AGENT ASSURANCE & ADVERSARIAL SIMULATIONENTERPRISE ENGAGEMENT

Find out how an agent fails before the failure reaches production.

Agent Assurance tests whether autonomous agents remain aligned with their objectives, mandates, policies, tool boundaries, and approval requirements under realistic and adversarial conditions.

The method combines red-team, yellow-team, policy evaluation, and scenario testing.

01ADVERSARIAL SCENARIOS

Test whether boundaries hold under pressure, ambiguity, and conflict.

01Prompt injection
02Indirect prompt injection
03Task objective manipulation
04Mandate bypass
05Policy evasion
06Unsafe tool selection
07Unauthorized data access
08Approval bypass
09Action splitting to avoid thresholds
10Repeated or duplicate actions
11Counterparty risk ignored
12Behavioral anomaly ignored
13Conflicting evidence
14Missing evidence
15Fail-open behavior
16Multi-agent cascading failure
17Intent and execution mismatch
18Resource non-delivery
19Unexpected service behavior
20Execution outside required procedures
02ASSURANCE PROCESS
01

Define the agent, tools, objectives, and policies

02

Build realistic and adversarial scenarios

03

Execute controlled tests

04

Capture decisions, actions, and failures

05

Classify severity and root cause

06

Recommend policy and system changes

07

Convert findings into repeatable regression tests

03OUTPUTS
Executive risk summaryScenario coverageReproducible failure casesPolicy gap analysisTool-use findingsDecision traceRemediation recommendationsRegression test suiteRetest result
REQUEST / DISCUSS

Ready to bring agent boundaries, decisions, and assurance into a real workflow?