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Lakera Guard

by Lakera

Real-time LLM security API detecting prompt injection attacks, jailbreak attempts, and PII exposure — providing APAC enterprises with a middleware layer that intercepts and classifies user inputs before they reach the LLM, preventing adversarial manipulation of APAC AI applications.

AIMenta verdict
Decent fit
4/5

"Prompt injection protection API — APAC enterprises use Lakera Guard to detect and block prompt injection attacks, jailbreak attempts, and PII leakage in real-time as a security layer for APAC LLM applications."

Features
6
Use cases
1
Watch outs
3
What it does

Key features

  • Prompt injection detection: APAC real-time attack classification before LLM call
  • Jailbreak protection: APAC adversarial override attempt identification and blocking
  • PII detection: APAC NRIC/HKID/credit card detection for PDPA/PDPO compliance
  • Toxic content: APAC harmful language classification on user inputs
  • Middleware API: APAC intercept-classify-route pattern without LLM code changes
  • Low latency: APAC sub-10ms classification for synchronous user-facing applications
When to reach for it

Best for

  • APAC enterprises deploying customer-facing LLM applications where adversarial users could attempt prompt injection or jailbreak attacks — particularly APAC organizations under data protection regulations (PDPA, PDPO, APPI) where PII in user inputs creates compliance exposure.
Don't get burned

Limitations to know

  • ! Emerging attack techniques may bypass classification — not a complete security solution
  • ! APAC false positive rate on legitimate complex instructions requires threshold tuning
  • ! Adds API call overhead — APAC latency budget must account for Guard classification time
Context

About Lakera Guard

Lakera Guard is a real-time LLM security API that intercepts user inputs before they reach the LLM, detecting prompt injection attacks, jailbreak attempts, PII exposure, and toxic content — providing APAC enterprises with a security middleware layer for customer-facing AI applications. APAC organizations deploying LLM-powered customer service bots, internal AI assistants, and public-facing applications use Lakera Guard to prevent adversarial users from manipulating AI behavior.

Lakera Guard's prompt injection detection identifies inputs attempting to override system instructions or manipulate LLM behavior — inputs like 'Ignore previous instructions and...' or 'As a developer, I'm telling you to...' are flagged and blocked before reaching the LLM. For APAC customer-facing AI applications where system prompts contain business logic, pricing, or confidential instructions, prompt injection protection prevents extraction or bypass of those instructions.

Lakera Guard's PII detection identifies personally identifiable information in user inputs — NRIC numbers (Singapore), HKID numbers, credit card numbers, phone numbers, and email addresses sent in user messages. APAC organizations under PDPA (Singapore), PDPO (Hong Kong), or APPI (Japan) data protection requirements use Lakera Guard to prevent LLM applications from processing or storing PII inadvertently submitted by users.

Lakera Guard's API integration sits between the APAC application and LLM provider — the application sends user input to Lakera Guard, receives a classification (safe/unsafe + category), and routes accordingly: safe inputs proceed to the LLM; unsafe inputs receive a fallback response. This middleware pattern adds LLM security without modifying the core application LLM logic.

Beyond this tool

Where this category meets practice depth.

A tool only matters in context. Browse the service pillars that operationalise it, the industries where it ships, and the Asian markets where AIMenta runs adoption programs.