SharkRouter Blog
Technical deep dives, product announcements, and best practices for enterprise AI governance.
Gulliver runs 37 DeepMind-based attack templates against YOUR LLM with YOUR API key. Mock tools, zero production risk. Typical result: 28 of 33 adversarial templates succeed on the unprotected run. Same attacks through SharkRouter: zero. This is the demo that changed our sales process.
Enterprise AI governance doesn't require writing thousands of rules manually. Shadow Mode observes your agents for 7 days, auto-generates a deny-by-default policy draft, and ENFORCE mode activates on Day 15 via canary deployment. The onboarding objection — 'we can't write all those rules' — is solved.
We published an open methodology to score AI agent governance across 17 dimensions. We scored ourselves and 19 competitors. Highest non-inline vendor: 55. Lowest: 11. Mean: 28. The results expose a 36-point architectural gap the market can't close with features.
Model Context Protocol gives AI agents direct access to your databases, APIs, and file systems. Without an inline gateway, every MCP server is an unmonitored root shell. We scanned 200+ public MCP implementations — 73% have no authentication, 89% have no rate limiting. Here is what governance at the tool-call layer actually looks like.
Google DeepMind proved that 80% of AI agent attacks succeed by poisoning what agents read — not what users type. Six trap types, a 10/10 success rate against Microsoft 365 Copilot, and the reason your firewall, DLP, and prompt filter missed all of it.
We scanned a well-designed C#/.NET agent orchestrator and got 2/100 UNGOVERNED. That wasn't the project's fault — it was ours. This is the inside story of the two bugs we shipped in Warden v1.7.0 to fix it, and how VigIA-Orchestrator went from 2/100 to 61/100 PARTIAL (the first framework in our gallery above the UNGOVERNED threshold).
We ran Warden against 10 of the most popular open-source AI agent frameworks — LangChain, LangGraph, CrewAI, AutoGen, Haystack, LlamaIndex, Semantic Kernel, PydanticAI, MetaGPT, and Langflow. None scored above 24/100. Here is what the gallery actually measures, why that number is what it is, and what it does and does not mean for your production agent.
For Tier-1 financial institutions and government agencies, cloud AI gateways are a non-starter. We explore the regulatory landscape and how SharkRouter deploys in fully air-gapped environments.
AI agents using function calling and MCP tools create attack surfaces that reverse proxies and WAFs were never designed to handle. Here\
SharkRouter now supports 12+ LLM providers through LiteLLM integration, including OpenAI, Anthropic, Google, Mistral, Cohere, and more.
Deep dive into our new local semantic router powered by sentence-transformers. Learn how we cut classification latency from 200-300ms to just 20ms.
Before signing an AI gateway contract, these five questions will tell you whether the vendor is serious about enterprise security — or just slapping "enterprise-ready" on a startup product.
A technical walkthrough of SharkRouter\
When a user invokes their GDPR right to erasure, deleting database rows isn\
As AI agents gain the ability to execute tools and access resources, security becomes critical. Learn how ToolGuard provides policy-based governance.
How SharkRouter ensures your sensitive data never reaches external LLM providers. A technical look at tokenization and secure storage.
Navigating GDPR requirements when deploying AI in your organization. Learn about data processing agreements and technical safeguards.
How we designed Universal Memory to give your AI persistent context across sessions. PostgreSQL, pgvector, and intelligent memory extraction.
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