The AI Startup Aims to Deliver Safety and
Security for AI Large Language Models
SAN
JOSE, Calif., June 25,
2024 /PRNewswire/ -- HydroX AI, an artificial
intelligence (AI) startup with the industry's first comprehensive
all-in-one large language model (LLM) safety and security platform,
today announced closing a $4 million
angel round from Vitalbridge Capital, Atom Capital and noted AI
expert, Qi Lu, EVP of Microsoft, former COO of Baidu.
The funding will provide the means for HydroX AI to continue LLM
safety innovation, validate the market need, and further the
platform's market entry goals.
The investment comes to a fast-growing segment of the exploding
LLM AI market. Global LLM revenue is projected to grow to 260
billion by 2030. With that growth comes increasing safety and
security risk. HydroX AI has found that a typical LLM is vulnerable
to attack and compromise in as little as three months from release,
meaning constant security measure updates are a must. As a result,
HydroX AI sees great need and potential in the AI Trust, Risk, and
Security Management (AI TRiSM) sector.
"The blending of artificial intelligence with society is just
starting. It raises issues beyond privacy and security, including
ethics, learning, and mental effects. Looking ahead, security will
be key, not just for protection but as a foundation for AI's
growth," said Ben, partner at Vitalbridge Capital.
HydroX AI was created to directly address these LLM risks by
providing a comprehensive platform for the evaluation, mitigation,
protection, and monitoring of Large Language Model (LLM) safety and
security in the four trust domains: safety, privacy, integrity and
security.
Introducing EPASS - HydroX AI's Evaluation Platform for AI
Safety and Security
HydroX also announces the official launch of EPASS, its
cutting-edge Evaluation Platform for AI Safety and Security.
HydroX AI EPASS Platform
This state-of-the-art platform enables precision evaluation and
management of AI models, offering detailed insights that empower
users to understand and enhance the safety, security, privacy, and
integrity of their AI systems. EPASS serves as a crucial tool in a
landscape where robust evaluation frameworks are imperative due to
the substantial ethical, social, and existential risks associated
with AI technologies.
The EPASS platform facilitates:
- Evaluation: Precision assessment of AI models using
advanced techniques to identify vulnerabilities and ensure models
meet high standards of safety and integrity. Detailed reports
provide actionable insights, helping users refine AI performance
and reliability.
- Management: A user-friendly dashboard allows for
effortless model management and comparison, integrating seamlessly
into existing workflows for real-time monitoring and updates.
- Leaderboard: A comprehensive ranking system that
benchmarks AI models across over 30 safety and security categories,
offering users critical reference points for continuous
improvement.
This platform allows stakeholders across industries to manage
and compare AI models with ease, enhancing decision-making and
improving AI system reliability, without the need to build an
expensive in-house evaluation team and infrastructure.
All standard accounts come with essential features, including
one model evaluation daily, one attack method, and one evaluation
per category. For those seeking advanced and comprehensive
evaluations, HydroX also offers a range of customizable
add-ons:
- Unlimited Evaluations per Category: Dive deeper into the
evaluation process with unlimited assessments for each
category.
- Category Bundles: Tailored category bundles designed to
align with specific domains, streamlining the evaluation
process.
- Higher Speed: Accelerate
evaluations with higher processing speeds, optimizing
efficiency.
- Dashboard to Visualize Results: Gain real-time insights
into models' performance with intuitive dashboard interface.
- More Attack Methods: Expand assessment capabilities with
a wider array of attack methods at the clients' disposal.
- Dedicated GPUs: Enhance processing power and efficiency
with dedicated GPU resources.
HydroX AI is currently in early development engaging with major
LLM companies. Several of these companies have seen notable
enhancements from the platform, showcasing EPASS's potential and
affirming its strategy for tackling trust issues in LLMs. These
endorsements from leading LLM companies not only underline its
pioneering role but also secure a first-mover advantage in the
crucial, evolving field of AI safety and security.
HydroX AI was founded by Zhuo Li,
former head of the Privacy and Data Protection Office at Bytedance.
Before Bytedance, Li developed his expertise at Meta and LinkedIn,
contributing significantly to privacy and security measures. The
team, rich in safety and security veterans, includes Head of
Engineering Yuji Kosuga, with deep roots in the field through
experiences at companies such as LinkedIn, Google, and Meta,
underscoring their profound dedication to advancing AI safety and
security.
About HydroX AI LLC
Founded in 2023, HydroX AI (www.hydrox.ai) is a San Jose, California based AI trust, risk and
security management (AI TRiSM) startup with the mission to ensure a
safer world through cutting-edge AI security solutions for LLM
evaluation and enhancement. Their platform, the industry's first
all-in-one platform for LLM safety and security, allows LLM
developers to address the major LLM risk areas with
development-stage tools and post deployment monitoring tools.
Check out
https://www.hydrox.ai/blogs/64ab58a5-73a9-4b82-bffa-dcb2406a3efe,
for a more in-depth look at how to use EPASS. Additionally, dive
into our newest blog post highlighting a white paper exploring the
vulnerabilities of LLMs, dissecting attack methods, and offering
practical recommendations for anyone interested in AI security:
https://www.hydrox.ai/blogs/818992e9-b828-45c3-b808-b69dca5a5833.
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SOURCE HydroX AI