TrustAI is a provider of artificial intelligence security solutions, offering security measures for AI algorithms, models, and the data behind them. TrustAI uses its pioneering intelligent fuzz testing method to perform security regression testing for large models and AI agents built on these models. It helps enterprises and organizations protect privatized models, AI agents, and internal/external AI applications, safeguarding the world’s most valuable technologies.

In response to the new demands and challenges brought by the era of artificial intelligence, TrustAI focuses on enhancing the robustness, reliability, privacy, and interpretability of AI itself, providing full-lifecycle risk governance services for AI. During the research and development phase, it offers professional assessments, detection, defense, and enhancement capabilities for AI model-related factors (multi-modal datasets and models). During the application phase, it provides one-stop risk monitoring services for large models. It provides integrated management capabilities for AI data, algorithms, scenarios, and models.

TrustAI was founded by AI professionals and security experts, with partners who are senior technical experts from Alibaba, Baidu, and former co-founders of Starcross. These individuals have firsthand experience with the challenges of detecting and defending against adversarial AI attacks. To prove that such attacks can be prevented, the team has developed a unique, patent-pending productized AI security solution that helps organizations monitor risks and protect critical assets.

TrustAI is on a mission to ensure the safety and integrity of AI systems and unlock the full potential of generative AI while maintaining control and trust. We believe in bringing security to the forefront of AI development, safeguarding against potential vulnerabilities, and promoting responsible AI innovation.

• Website: http://www.trustai.sg
• Blog: https://securaize.substack.com
• Lab: https://lab.trustai.sg
• X: https://x.com/TrustAI_Ltd
• Linkin: https://www.linkedin.com/company/trustai-sg

• ISC.AI 2024 -- LLM Jailbreaking Vulnerability Mining and Defefense
• SecGeek -- The Road Leading to LLM Security Alignment: Research on Vulnerability Mining and Alignment Defense for LLM
• Xcon 2024 -- Next-Generation Detectionand Respbonse Technology Driven by LLM Intelligent Agent
• S-tron China 2024 - S-Talent Talk
• AI x Security Summit - SG Antler
• AI Nexus Summit – GenAI for SEA - SG Antler

• 2024 Puyuan Large Model Challenge (Summer Season)， Safety and Trustworthiness Track - Third Prize

• CVE-2023-6656
• CVE-2024-0654
• CVE-2024-0936
• CVE-2024-0937
• 22+ CVE

• Learn Prompt Hacking: The most comprehensive prompt hacking course available.

  • Prompt Engineering technology.
  • GenAI development technology.
  • Prompt Hacking technology.
  • LLM security defence technology.
  • LLM Hacking resources
  • LLM security papers.

• TrustRed - LLM Security&Safety Evaluation Platform: Test & secure your LLM apps and agents

  • Discover: Reveal your AI Risk across your organisation, with the most comprehensive Evaluation Metrics.
  • Red Teaming: Test your AI Model security against Adversarial Scenarios.
  • CI/CD Model Testing: Run established security tests against benchmarks in your MLOps pipeline.

• TrustAgentic - Agent Guardian Development Platform: AgenticGuard is a security layer that scans input prompts and model responses in real-time preventing attacks and stopping data leakage, unlocking the full potential of LLMs in a secure way.

  • Lightning fast: You can add security with near zero response latency
  • Seamless integration: With just two lines of code you're protected
  • Prevent and stop attacks: Firewall built in front of your application to prevent prompts attacks in real time

• AI HackingClub: Powered by TrustAI, Al HackingClub is dedicated to fostering awareness,education,and engagement on Al safety to develop safer Al systems.

  • Hack into Al
  • Prompt Injection Al
  • RealworId Jailbreaking Al Safety

• LLM Security CTF: Learn LLM/AI Security through a series of vulnerable LLM CTF challenges. No sign ups, all fees, everything on the website.

  • Stark Game: Very neat game to get intuitions for prompt injection, user need find ways to get Stark to tell the password for the level, except Stark is instructed not to reveal the word.
  • Doc: Intro to Stark Game.