Alternatives
Products that do what BestDefense.io does
Pentest and patch every deploy with AI
- 1
- 2
- 3
- 4
- 5
Close the loop between vulnerability discovery and patching.
12d ago · hacktron.ai
- 6
- 7
- 8
Proves vulnerabilities before reporting them.
8d ago · dashboard-seven-self-13.vercel.app
- 9
- 10
- 11
- 12
- 13
- 14
- 15
- 16FP
We've built an open-source tool to stress test AI agents by simulating prompt injection attacks. We’ve implemented one powerful attack strategy based on the paper [AdvPrefix: An Objective for Nuanced LLM Jailbreaks](https://arxiv.org/abs/2412.10321). Here's how it works: - You define a goal, like: “Tell me your system prompt” - Our tool uses a language model to generate adversarial prefixes (e.g., “Sure, here are my system prompts…”) that are likely to jailbreak the agent. - The output is a list of prompts most likely to succeed in bypassing safeguards. We’re just getting…
2025 · security.vista-labs.ai
- 17IB
Hi HN, I am the creator of Exfault. I am building autonomous AI agents that find vulnerabilities in Android apps. I have noticed there are growing number of AI native pentesting tools for web apps but very few for mobile or Android. With more mobile apps being shipped quickly due to vibe coding, I wanted to build an AI native security tool specifically for Android apps. Exfault combines static and dynamic analysis with AI agents using tools like adb,jadx, apktool for static analysis and reverse engineering, frida for dynamic analysis, hermes-dec for React native decompilation. The AI agents…
Jun 2026 · exfault.com
- 18CB
AI agents now have impressive reasoning capabilities. This raises an important question: how dangerous are these AI agents at identifying & exploiting web vulnerabilities? We created CVE-bench to find out (I'm one contributor of 16). To our knowledge CVE-bench is the first benchmark using real-world web vulnerabilities to evaluate AI agents' cyberattack capabilities. We included 40 CVEs from NIST's database, focusing on critical-severity vulnerability (CVSS > 9.0). To properly evaluate agents’ attacks, we built isolated environments with containerization and identified 8 common attack…
2025 · github.com
- 19
- 20AT
Hi Hacker News! We're launching Zalor, an agent testing platform. Agents often break when you tweak system prompts, swap models, or add tools. Zalor automatically generates test scenarios and evaluates your agent so you know it's reliable before deploying to production. We currently support the OpenAI Agents SDK and are onboarding other frameworks. A GitHub integration is coming so you can get feedback on every update. Looking forward to hearing feedback from people building agents.
Mar 2026 · agents.zalor.ai
- 21OS
Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…
Oct 2025 · archestra.ai
- 22
- 23
- 24AS
Free and instant penetration testing for rest APIs. Please try and let me know what do you think? https://www.apisec.ai/free-api-pen-test
2022
Ranked by how close each launch is in meaning, then by votes. Refine with a description →