Aspherity
Adversarial assessment of agents with access to data and connected actions.
Find security testing for your AI agents. Compare assessment providers by the systems they test, the risks they cover, and the evidence they deliver.
RESEARCHED LISTINGS. FIRST-PARTY SOURCES. CLEAR UNKNOWNS.
Prompts, retrieved documents, browser content.
APIs, connected systems, execution boundaries.
Whose authority does the agent actually use?
Reproducible findings and a path to retesting.
A scoping framework, not a claim that every provider tests every category.
Adversarial assessment of agents with access to data and connected actions.
Human-led AI application penetration testing paired with a testing platform.
An MCP architecture assessment covering access controls and integration trust.
AI security assessments spanning agents, retrieval pipelines and surrounding application infrastructure.
Listings are ordered alphabetically and describe providers’ published offerings.
Document its tools, permissions, data sources and approval steps. Those connections determine what an assessment needs to exercise.
Confirm test identities, safe actions, deliverables and retest terms. An architecture review and a live adversarial test answer different questions.
Request a sample report. Look for reproduction conditions, observed impact, clear limits and a way to verify the fix.
Turn a long list of services into a scope you can evaluate.
A practical checklist for tools, identities, test environments and evidence.
The target of the assessment matters more than the tool used to run it.
Email us a short outline of your requirements.