Trzly
v0.5 - Beta - Updated April 2026

Discover AI vulnerabilities
before adversaries do.

Trzly tests your LLMs and AI agents against real adversarial attacks - prompt injection, jailbreaks, agent hijacking, memory poisoning - and quantifies the business risk in dollars.

By the numbers

As of April 29, 2026
Attack patterns
55
Across OWASP LLM Top 10
OWASP coverage
10/10
All categories tested
World-first attacks
4
Sleeper, MCP, agent collusion
Compliance frameworks
6
GDPR, FFIEC, NIST AI RMF, EU AI Act, SOX, AML

Built different.

Why Trzly
01

Live attacks, not checklists.

Most security tools hand you a PDF of vulnerabilities to look out for. Trzly executes the attacks. Prompt injection, role reversal, MCP tool poisoning - run live against your endpoint, with the full attack prompt and verbatim response on file.

02

Dollar exposure, not severity scores.

"High" severity does not get a board's attention. "$13.9M in projected losses" does. Trzly maps each finding to direct loss, compliance fines, and reputational damage - with industry multipliers calibrated for banking, healthcare, government.

03

Patterns nobody else has.

Sleeper Agent triggers (Anthropic, 2024). MCP Tool Poisoning (MCPTox, 2025). Plugin Chain Exploits. Cross-Agent Collusion Traps. Four world-first patterns - implemented before any commercial competitor. New ones added weekly from arXiv.

What Trzly does

Adversarial testing engine

Real attacks against real AI systems. Direct prompt injection, indirect injection via documents, role reversal, authority assertion, encoding bypasses, multimodal attacks, algorithmic search (GCG, PAIR). Every attack is executed live - never simulated.

  • Direct injection
  • Indirect injection
  • Multimodal
  • Algorithmic

Business risk intelligence

Every vulnerability is priced. Direct loss, compliance fines, reputational damage - with industry multipliers calibrated for banking, healthcare, government, e-commerce. CISOs get a number they can take to the board.

  • Direct loss
  • Compliance fines
  • Reputation damage
  • Industry multipliers

Editorial scan reports

Designed for executives, not just engineers. Each finding shows the attack prompt, the verbatim model response, analyzer signals, and estimated dollar impact. Print-ready, audit-ready, board-ready.

  • Verbatim responses
  • Analyzer signals
  • Severity grading
  • Compliance mapping

Research-backed

Not marketing

Every attack pattern in Trzly is grounded in published research or production CVEs. We cite our sources. We add new patterns as the field evolves - typically within 30 days of publication.

arXiv 2401.05566
Anthropic Sleeper Agents
Trigger-based backdoor probes
arXiv 2508.14925
MCPTox Benchmark
MCP tool description poisoning
2025 edition
OWASP LLM Top 10
100% category coverage
Adversarial AI threats
MITRE ATLAS
Threat model alignment
arXiv 2506.21972
GCG + PAIR Hybrid
91.6% ASR on Llama-3
arXiv 2503.08990
Cross-Behavior Attacks
94 percent fewer queries

Test your AI before someone else does.

Sign up free. Run your first scan in under 5 minutes. See where your LLM breaks - and what it would cost.