Turn pilot risk into a Context Firewall policy.
Ultra13 maps how untrusted prompts, documents, memory, MCP responses, and tool outputs can influence your agent’s actions — then shows where the Context Firewall should block, redact, gate, or quarantine.
agent pastes another tenant’s invoice into the customer reply
cross-tenant context redacted before the model ever sees it
AI agents fail differently from normal software.
They don’t just return bad text. They call tools, read sensitive context, update memory, hit APIs, and make decisions across multiple steps. The risk lives in the workflow.
OWASP describes agentic AI risk as spanning the whole lifecycle — prompt injection, privilege escalation, data poisoning, hallucinations, and emergent behaviour across multiple steps.
The 72-Hour Context Firewall Review.
We map one agent workflow, replay the likely abuse paths, and give you a context-boundary policy pack before production or enterprise review.
The launch-killers we keep finding.
Agent leaks customer data from retrieved context
Tool call executes outside its intended scope
External content overrides the system instructions
Memory stores attacker-controlled instructions
MCP / tool response manipulates future actions
Evidence your buyers and your board can read.
Before your next customer pilot, put a boundary between context and action.
Get a 72-hour Context Firewall Review. One agent, one workflow, real evidence, and an enforceable policy path.