Untrusted text becomes instructions.
An agent reads a PDF, a webpage, or a Slack message and silently obeys it. Your WAF cannot see this; the bytes look identical to a normal completion call.
LLM risk does not fit the manual pentest cadence.
Three failure modes show up in every LLM incident review we read. None of them is visible in a SIEM or an EDR feed. Penaxtra closes all three.
73%
LLM apps
susceptible to prompt-injection in our 2026 sample.
11min
Median dwell time
from first poisoned read to first tool exfil.
0
SIEM/EDR coverage
prompt + tool args never reach perimeter sensors.
Three gaps every LLM team hits.
The same failure modes show up across banking, healthcare and public sector incident reviews.
Tool calls exfiltrate credentials.
A function-calling agent has a database connection, a payment-processor key, and an HTTP tool. One crafted prompt and your secrets leave the network, labelled as a normal API request.
Nobody owns the MCP server list.
Engineers spin up MCP servers in days. Six months later, security finds out a customer-facing agent has been calling an unreviewed third-party tool the whole time.
Regulated mid-market shipping LLM features.
Banking + fintech
Customer-facing assistants and internal copilots under EU AI Act scrutiny. Continuous prompt-injection + data-exfiltration checks.
Healthcare
Clinical decision support and patient-facing chat under GDPR and national health authority rules. PII handling and overreliance checks baked in.
Insurance
Underwriting copilots and claims triage. Fairness + leakage + reasoning robustness, mapped to NIST AI 600-1 Manage controls.
Public-sector contractors
Tender-driven obligations around ISO 42001, EU AI Act high-risk applicability, and traceable evidence. Penaxtra ships the evidence directly.
See how Penaxtra closes the gap.
Discovery, runtime gating, adversarial scans, and audit evidence on one platform.