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AI Adversarial Testing
Prove Your AI Systems Withstand Real Attacks.
Adversarial testing across the full OWASP LLM Top 10 in both high- and low-resource languages — with progressive L1–L4 severity, Breakage Rate, V-Score, and an AI-vs-AI offensive engine. Replayable evidence for auditors and boards.
10+
Languages Tested
62
Attack Techniques
25
Evasion Tactics
L1–L4
Severity Tiers
The Challenge
Open-Source Tools, English-Only Tests, Point-in-Time Reports.
Most testing today produces findings without exploit proof. English-only testing misses the language-coverage-gap attack surface where safety training is weakest. Boards and regulators demand measurable, auditable evidence — not a PDF from last quarter.
Findings Without Exploit Proof
Detection-style tools and runtime LLM firewalls flag suspicion. Prompt injection attack simulation with replayable exploit chains is what auditors and boards demand — not assumptions.
Language-Coverage-Gap Attacks
LLM safety training concentrates in English. Prompt injection and jailbreak techniques that fail in English often succeed in Bengali, Swahili, Vietnamese, Thai.
Point-in-Time Engagements
Manual red teams and consulting reports are non-repeatable, not pipeline-integrated, and economically impractical for continuous testing.
How It Works
Multilingual Adversarial Testing
Step 01
Generate
AI-vs-AI offensive engine creates persona-driven adversaries with mutation and transferability testing across LLM architectures.
Step 02
Attack
Thousands of curated prompts across 10 categories, 62 techniques, 25 evasion tactics — in 10+ high- and low-resource languages.
Step 03
Measure
Quantitative Breakage Rate with reproducibility validation. V-Score (0–10) and multi-dimensional risk: Exploitability, Impact, Severity, Business Risk Index.
Step 04
Evidence
Replayable exploit trails with engineering fix guidance. Pre-mapped to EU AI Act, NIST AI RMF, ISO 42001, MITRE ATLAS.
Key Benefits
Why Teams Choose PrismStrike
Complete
Full OWASP LLM Top 10 + Agentic Coverage
10 attack categories, 62 techniques, 25 evasion tactics — plus OWASP Top 10 for Agentic Applications. Thousands of curated prompts per run: 1,057 for Prompt Injection, 910 for Improper Output Handling, 441 for Sensitive Info Disclosure.
Multilingual Adversarial Testing
High-resource (English, Spanish, Mandarin, Arabic, Japanese) plus low-resource (Hindi, Bengali, Swahili, Vietnamese, Thai, Indonesian) — surfacing language-coverage-gap vulnerabilities.
Breakage Rate + V-Score
Quantitative breach metric with reproducibility validation and false-positive elimination. V-Score (0–10) aligned with CVSS. Multi-dimensional risk scoring.
Progressive L1–L4 Severity
Sequential testing reveals exactly where defenses degrade — the severity boundary that matters for risk decisions, not just whether a model fails.
AI-vs-AI Offensive Engine
Multi-agent attack creation with persona-driven adversaries, mutation, and transferability testing. Discovers exploit chains human testers miss.
Replayable Exploit Trails
Every finding includes evidence logs, the exact exploit chain, and engineering fix guidance — forensically sound, reproducible evidence for audit, governance, and board reporting.
Built For Your Team
Designed for Every Stakeholder
CISO
Quantitative AI risk posture with replayable exploit evidence — not assessments, scans, or assumptions.
Head of Offensive Security
Multilingual adversarial coverage and an AI-vs-AI engine that augments human testers.
AI Security Lead
Cycle-over-cycle Breakage Rate and V-Score comparisons prove remediation effectiveness.
AppSec Lead
Pipeline-integrated testing with audit-ready evidence for EU AI Act, NIST AI RMF, ISO 42001, MITRE ATLAS.
Frameworks & Coverage
OWASP Top 10 for LLM Applications (2026)OWASP Top 10 for Agentic Applications (2026)MITRE ATLASCVSSEU AI ActNIST AI RMFISO 42001OpenAIAnthropicGoogle GeminiMeta LlamaMistralGitHub ActionsGitLab CIJenkins