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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.

3,201
Adversarial probes

fired at your endpoint on a schedule, not once per engagement.

7
Frameworks

every finding carries the control ID for each one it satisfies.

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.

LLM01 · Prompt Injection

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.

LLM06 · Sensitive Disclosure

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.

Shadow AI

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.

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