BetweenPrompt
AI Security Platform

AI moves fast.
Vulnerabilities
move faster.

Context-aware security testing embedded in your SDLC. Find what attackers will find — before it ships.

Aligned to

OWASP LLM Top 10NIST AI RMFMITRE ATLASISO/IEC 42001
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OWASP LLM Top 10
Prompt injection remains the most critical and pervasive threat to LLM-integrated applications.

LLM01 — #1 risk category, 2023–2024

NIST AI RMF
AI risks realized post-deployment are often significantly more costly and difficult to remediate than those identified earlier in the lifecycle.

Govern 1.1 — Risk identification timing

MITRE ATLAS
Adversarial attacks against AI systems are increasing in frequency and sophistication, targeting both model behavior and data pipelines.

AML.T0000 series — Observed TTPs

Standards

Built on the
frameworks that matter

Every finding is mapped to the standards your security, compliance, and legal teams already use as reference points.

Explore all standards
OWASP LLM Top 10
LLM-specific vulnerability taxonomy
NIST AI RMF
AI risk management framework
MITRE ATLAS
Adversarial ML threat landscape
ISO/IEC 42001
AI management system standard
OWASP ASVS
Application security verification
EU AI Act
Regulatory compliance framework

Consulting

Not just tooling.
We build and review.

When your team needs embedded security expertise — from architecture design through production review.

View consulting services
01

Architecture Assessment

Review AI system design for structural vulnerabilities before you build. We map threat models to your stack.

02

Security Review

Deep audit of existing LLM pipelines, RAG systems, and agent architectures against current adversarial techniques.

03

Product Building

Embedded security expertise for teams building AI products. From design to deployment.

Get Started

Find vulnerabilities before
your users do.

A 30-minute technical demo against your actual stack. No pitch decks, no sales theater.