Javelin Newsroom | Company Updates & Press Releases

Why GPT-5’s Capabilities Are a Double-Edged Sword for Enterprise Security

You’ve all heard the news. GPT-5 is out. What does this mean? Well, for starters, more capability, more context awareness, and more potential for enterprises to automate complex workflows end-to-end.

5 Blackhat 2025 Takeaways on AI & Automation Security

Black Hat 2025 made one thing abundantly clear: the security conversation must evolve. It's no longer just about using AI to enhance cybersecurity—it’s equally about securing the AI itself.

Announcing Ramparts: Securing MCP usage

Ramparts is a high-performance, Rust-native scanner that inspects Model Context Protocol (MCP) servers for security vulnerabilities. Whether you’re running scans in your CI pipelines, on edge devices, or in developer sandboxes, Rampart delivers fast, reliable analysis with minimal footprint. From tool manifest validation to prompt-injection checks, Rampart helps you harden your MCP endpoints and maintain confidence in every deployment—no heavyweight runtimes required.

Why traditional DLP hurts LLM accuracy?

As Large Language Models (LLMs) become more integrated into our daily lives, powering everything from customer support chatbots to advanced coding assistants, they also become targets for sophisticated adversarial attacks such as prompt injections and jailbreak attempts. Recognizing these vulnerabilities, our research introduces JavelinGuard, a suite of transformer-based model architectures specifically optimized to safeguard LLMs against these threats efficiently and accurately.

Javelin Guard: Next-Generation Security Models

Top 5 Takeaways for CISOs from RSAC 2025:

The RSA Conference 2025 brought together over 44,000 cybersecurity professionals in San Francisco, establishing itself as the definitive forum for discussions on the intersection of artificial intelligence and cybersecurity.

Enterprise Strategies for MCP Integration

As more companies jump into AI-driven systems, the Model Context Protocol (MCP)—introduced by Anthropic—is quickly becoming a key standard. MCP lets AI models connect with real-time data and external tools, making them much more powerful. But with this new flexibility comes new cybersecurity challenges, and it’s important to have strong, enterprise-level strategies in place.

Javelin achieves SOC2 compliance

We are excited to announce that Javelin has achieved SOC2 Type 1 and SOC2 Type2 compliance.

AI Runtime Security: How to Protect Your GenAI Stack from Real-World Threats

As Generative AI moves from experimentation to enterprise-grade deployment, CIOs find themselves at a pivotal crossroads: how to scale AI innovation without compromising security.

Optimizing Javelin Guardrails

As a real-time platform on the critical path of applications, we continually look for opportunities to improve the throughput and latency of guardrails in the critical path of LLM traffic.

Javelin Cloud

We are excited to unveil Javelin Cloud, an AI enterprise platform anchored by our enterprise-grade Large Language Model (LLM) gateway. This cloud-native platform is designed to provide businesses with safe, responsible access to diverse large language models.

Secure your RAG

With the increasing shift towards digitization, businesses and organizations constantly explore new ways to improve their operations and customer experience.

Are you guarding your data?

Large language models are a technological marvel, with an incredible capability to generate human-like text, answer queries, and perform myriad text-based tasks. They can be immensely valuable for businesses, researchers, and everyday users.

Javelin x NVIDIA Inception

I am thrilled to announce that Javelin has been formally accepted to the NVIDIA Inception program for startups. The program is designed to nurture startups revolutionizing industries with artificial intelligence (AI) and data science advancements.

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?

Announcing Langchain’s integration with Javelin

In the evolving landscape of artificial intelligence and machine learning, vector embeddings are a fundamental concept at the core of modern algorithms.

Introducing Javelin Processors

Enterprises adopting Large Language Models (LLMs) often face the challenge of embedding specific controls, activating mechanisms to trigger enterprise systems, and broadening the integration of these systems within their existing technology investments.

Implement Content Moderation Guardrails using Javelin

In the rapidly evolving digital landscape, integrating large language models (LLMs) into online platforms marks a significant leap forward in creating, sharing, and consuming content.

Secure your AI Embeddings with Homomorphic Encryption