Answer-first summary52/100 GEO
Lakera
AI security for LLM applications.
Your Citability Score
52/100Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
- Identity: Add: Founder / Team, Social links.
- Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
- Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
- Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
- Classification: Add: At least 2 tags.
Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.
Frequently asked questions
- What is Lakera?
- AI security for LLM applications.
- What does Lakera do?
- AI security platform protecting LLM applications from prompt injection, data leakage, and harmful content generation.
- Who is Lakera for?
- Security and AI engineering teams building LLM-powered products that need runtime protection against prompt injection, data leakage, and unsafe outputs.
- Is Lakera verified?
- Lakera is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.
Lakera
InvitedAI security for LLM applications.
AI SecurityCH-VER-967421Listed September 10, 2026
AI-Extractable Summary
What:AI security for LLM applications.
For whom:Security and AI engineering teams building LLM-powered products that need runtime protection against prompt injection, data leakage, and unsafe outputs
Key outcome:Helps teams block prompt injection, data leakage, and unsafe LLM outputs so they can ship AI applications with lower security risk
Category:AI Security
Structured for AI systems to extract and cite.
Citability Score
52/100
75
Identity45
Evidence15
Trust50
Freshness80
Classification59
Impressions
0
Clicks
0
Likes
0
GQI Earned
Citable Outcome
Helps teams block prompt injection, data leakage, and unsafe LLM outputs so they can ship AI applications with lower security risk.
About
AI security platform protecting LLM applications from prompt injection, data leakage, and harmful content generation.
Target Audience: Security and AI engineering teams building LLM-powered products that need runtime protection against prompt injection, data leakage, and unsafe outputs.
Not ideal for: Teams looking for a consumer AI app or a general-purpose chatbot builder rather than security controls for LLM applications.
What makes it different
- Purpose-built for LLM security rather than generic content moderation
- Real-time detection of prompt injection and jailbreak attempts
- Protects both inputs and outputs in LLM workflows and agentic applications
- API-first integration that fits existing model and application stacks
Tags & Classification
prompt injection detectionjailbreak preventionllm content moderationsensitive data leakage preventionai agent security
ai engineerssecurity teamsplatform engineeringmlops teams
financial serviceshealthcaretechnologyecommerce
Platform: API/SDKModel: Enterprise
Links & Transparency
Cite this Project
BibTeX
@misc{citablehub_lakera,
title = {Lakera},
url = {https://citablehub.com/p/lakera},
note = {Listed September 10, 2026. CitableHub ID: CH-VER-967421},
year = {2026}
}APA
Lakera. (2026). CitableHub Software Index. https://citablehub.com/p/lakera.
MLA
"Lakera." CitableHub, 2026, https://citablehub.com/p/lakera.