Introducing Javelin: An Enterprise-Scale AI Gateway

Are you prepared to navigate the minefield of security challenges that the ever-expanding world of Large Language Models (LLMs) presents?

We built Javelin just for that.

As enterprises increasingly rely on LLMs, the potential pitfalls surrounding security, compliance and data management are growing exponentially. We believe it’s time to redefine how enterprises interact with LLMs, ushering in an era of enhanced security and streamlined operations.

LLMs have revolutionized the way businesses approach tasks like data analysis, customer service, and even content creation. The power of LLMs is undeniable, with their potential to significantly influence global economic growth and redefine job roles. However, harnessing this potential in a secure and efficient manner remains a substantial hurdle for enterprises.

Security and Compliance in LLM Usage

As the dependency on LLMs increases, enterprises face heightened risks of data leaks and breaches in intellectual property and personal information security. A robust mechanism to guard against these potential pitfalls and ensure compliance with regulatory standards is the need of the hour.

Centralized Access to Models: The Challenges

In the contemporary digital ecosystem, we are witnessing a proliferation of both closed-source and open-source models at an unprecedented rate. This boom heralds a golden age of opportunities, from enhancing productivity to revolutionizing business strategies. However, it’s not without its set of challenges, especially for enterprises aiming to seamlessly integrate these tools while maintaining a secure environment. Below, we dissect some of the prominent challenges that enterprises face in this new frontier:

Diverse Security Protocols: Different models come with varied security protocols, making it a herculean task for enterprises to maintain a standardized security protocol. This not only involves a steep learning curve but also opens up avenues for potential security breaches as different models might have different vulnerability points.

Complexity in Integration: The rapid multiplication of these models means that enterprises often find themselves tangled in a complex web of integration issues. These can range from compatibility problems to difficulties in implementing uniform access controls across various platforms, thus escalating the administrative overhead significantly.

Data Governance and Compliance: With the integration of multiple models, adhering to data governance policies and compliance requirements becomes a significant hurdle. It becomes progressively challenging to monitor and manage data flows effectively, ensuring compliance with regional and global data protection laws.

Addressing Rate Limits & Cost Overruns: Without stringent rate limits and cost guardrails in place, enterprises often find themselves grappling with unexpected costs and application down times. Establishing robust safeguards to prevent these issues is paramount.

Preventing Data Leaks and Ensuring Auditability: Enterprises are currently flying blind, with no visibility or control over the data exchanged with LLM vendors, risking significant data leaks and non-compliance with security regulations. A mechanism to scrutinize conversations and prevent corporate data misuse is critically needed.

Overcoming Credential Management Hurdles: The existing methods of credential management leave much to be desired, with rampant sharing of API tokens in unsecured emails, slack channels etc., creating a fertile ground for data and credential misuse and breaches.

Emergence of the AI Gateway

Enter the concept of an AI Gateway, designed to serve as secure conduits for LLM interactions, promising not only enhanced security but also offering a streamlined approach to leveraging the capabilities of various LLMs in an enterprise setting. It becomes imperative for enterprises to have a centralized access point that not only facilitates smooth interaction with various models but also addresses these security and management challenges effectively.

Introducing Javelin

Javelin is designed to be the sentinel guarding your enterprise’s interactions with LLMs. As a centralized gateway, it promises not only ultra-low latency but also high performance, ensuring seamless integration with various LLMs, both closed and open-source. Designed to be a vanguard in the enterprise’s AI deployment, Javelin guarantees ultra-low latency and peak performance, facilitating smooth integration with various closed and open-source LLMs.

Features and Benefits

Javelin comes with an arsenal of features aimed at fortifying your enterprise’s data security and enhancing the efficiency of LLM interactions:

1. Centralized Access Control and Distributed Controls: Manage and streamline access to various LLMs centrally, without the complications of vendor-specific APIs. This centralized hub ensures uniformity in administering and methodically rolling out access policies, coupled with cost guardrails to prevent budget overruns. By centrally managing credentials, individual teams can confidently use LLMs without having to deal with credentials and keys.
2. LLM Retries and Traffic Shaping: Intelligently manage the request flow to LLMs with built-in retry mechanisms and throttle controls. This means even during high traffic periods, Javelin ensures optimal performance with intelligent traffic shaping to select backup LLMs during periods of peak load. Put a cap on the number of requests per user or system, preventing any misuse or over-utilization of resources. This feature is integral in maintaining system health and avoiding over-use.
3. Cost & Policy Guardrails: Implementing cost and policy guardrails not only helps in keeping your budget in check but also ensures that all interactions adhere to the predefined enterprise policies, fostering responsible and compliant usage of resources. Enabling administrators to setup budgets, cost guardrails for projects or departments allow for responsible adoption of AI.
4. Data Loss Prevention (DLP): Javelin stands as a robust barrier preventing any potential data leakage, thereby safeguarding your enterprise’s critical information. Its sophisticated DLP system scrutinizes data flows meticulously to prevent unauthorized data transfer. Equipped with sophisticated mechanisms to detect Personally Identifiable Information (PII) and Protected Health Information (PHI) during interactions with LLMs, Javelin ensures that your data handling complies with global privacy regulations.

Archiving for Auditing & Compliance

To further empower enterprises in adhering to global standards and regulations, Javelin offers an advanced archiving solution, seamlessly integrating into your data ecosystem. This feature facilitates Enterprises to archive every single prompt, request and response to and from an LLM for comprehensive audits & compliance:

1. Structured Data Archival: Store interaction logs and data in a structured format, allowing for easy retrieval and analysis, vital for auditing processes and ensuring regulatory compliance.
2. Real-time Compliance Monitoring: Implement real-time monitoring of data transactions with LLMs, enabling immediate identification, alerting and rectification of any potential compliance violations.
3. Detailed Reporting and Analytics: Generate detailed reports and analytics, providing insightful data that assists in making informed decisions and fostering a culture of transparency and accountability within the enterprise when it comes to LLM use.
4. Secure Credential & Data Handling: Javelin ensures secure handling of credentials and all archived data, safeguarding against unauthorized access and potential data breaches, thereby maintaining the integrity and confidentiality of enterprise data for any applications that leverages LLMs.
5. Fine-Tuning & Custom Models: Javelin’s archives are created to align seamlessly with your fine-tuning processes and model-building tool chains, facilitating direct compliance and with fine grained controls for customizing and expanding LLM usage.

The Javelin Advantage

Our initial engagements with various enterprises, ranging from late-stage startups to Fortune 500 companies, have been highly promising, showcasing Javelin’s potential to redefine how enterprises interact with LLMs. Javelin promises a more comprehensive solution targeting data security, backed by superior technology and a visionary roadmap. Javelin is currently available to select customers and we invite you to join our early preview as we embark on a journey to redefine enterprise interactions with LLMs, promising not only enhanced security but also a streamlined and efficient operational framework.

Getting Javelin

Javelin is currently available and we would love your feedback on our early preview release.

Javelin Quickstart, Python

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