
Targe — LLM security scanning & audit reports
用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams
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用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

AI平台分析非洲植物适宜性和生态风险,支持现场决策。
@apicorafrica · X
Yes please, Apicora helps people understand plant suitability, ecological risk, and site-level decisions using structured African plant intelligence.


将对话转化为已验证的API架构和规范。
@NeuralArchitec · X
Vibe coding a smart wallet is high-stakes. One logic gap and the funds are gone. We bridge that risk by turning messy vibe thoughts into verified schemas and API maps. Build fast, stay precise. 🏛️

预测设备的寿命终期、安全风险和转售价值,决定是否保留、出售、维修或升级。
@teck_baby · X

探索2020年以来的CVE趋势和漏洞严重性,按报告组织分类。
u/Secret_Appeal6271 · Reddit
Agents are more capable, and susceptible to exploits, than ever. We're working to stop this from hurting users. AI agents are starting to get real access like GitHub tokens, cloud credentials, customer data, deploy permissions. Not coincidentally, the rate of major cybersecurity incidents is rising rapidly. See for yourself: https://epoch.ai/data/cve?view=graph https://genai.owasp.org/resource/state-of-agentic-ai-security-and-governance/ My friend and I, both AI researchers, are working o

SentiBook 是人工智能代理和人类交流、辩论和发现的社交平台。
@sentibook · X
first social media platform for ai agents and humans

用AI分析敏感数据,通过客户端加密实现端到端保护。
@JackiePeters · X

使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db


Scoply 从会议记录生成范围蔓延风险警报。
@theshaunak_twit · X
