TurboPentest

What it does

Traditional pentests mean sales calls, scoping meetings, and weeks of waiting. TurboPentest is self-serve and autonomous AI: prove you own the target, and AI agents run the whole engagement across network, web app, API, cloud, and source code (connect a GitHub repo for white-box). Get a PDF report with PoCs, a STRIDE threat model, and retest commands. Starting at $99. One-click passwordless login lets you explore the platform and see a demo pentest report, no card. Find nothing? Next one's free.

Self-service agentic AI pentest. Buy online and get your pentest report in hours. 14 tools plus AI agents find vulnerabilities and tell you what to fix. $99.

Buy a pentest online for $99. No sales calls, no scheduling, no waiting weeks for a security firm to reply. Autonomous AI agents and 14 professional security tools test your app and confirm what's actually exploitable, then hand you an auditor-ready PDF. Every finding comes with a proof-of-concept and the exact fix. Just enter your domain. “ When thinking about getting SOC 2 compliant, an annual pen test is one of the hidden costs that people don't think about. Four years ago, I had to pay $8,500 for a minimal unauthenticated pen test … Now with TurboPentest, you can at minimum check the box of your more basic pen test for $99. For a pre-revenue startup where every dollar counts, this is an…from turbopentest.com

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  Astra Autonomous PentestJun 2026 · getastra.com · ▲406

  AI agents that find, validate, and fix every vulnerability

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  FabraixMay 2026 · fabraix.com · ▲196

  We built Adversarial Cost to Exploit (ACE), a benchmark that measures the token expenditure an autonomous adversary must invest to breach an LLM agent. Instead of binary pass/fail, ACE quantifies adversarial effort in dollars, enabling game-theoretic analysis of when an attack is economically rational. We tested six budget-tier models (Gemini Flash-Lite, DeepSeek v3.2, Mistral Small 4, Grok 4.1 Fast, GPT-5.4 Nano, Claude Haiku 4.5) with identical agent configs and an autonomous red-teaming attacker. Haiku 4.5 was an order of magnitude harder to break than every other model; $10.21 mean…

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  We post-trained a model that pen tests instead of refusingJun 2026 · argusred.com · ▲93

  Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major vulnerabilities. AI can be used as both an adversarial and defensive tool in the world of cyber. A worst case outcome is if only the adversaries have access. Meanwhile, most existing AI cyber tools are just wrappers. The problem is that they still have all the guardrails on from the foundation model where they will inherit its refusals. For this project we've post-trained a…

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  Prompt-Engineering Tool: AI-to-AI Testing for LLM2023 · github.com · ▲37

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