Roadmap
The Hub is actively growing. Here's what's live now, what's coming next, and our long-term vision.
A native SDK, real-time security alerts, agentic cost protection, intelligent caching, and compliance-ready audit logging.
Official SDK ✅
pip install aisg — live on PyPI. Native Python client with typed metadata, structured errors, and model discovery.
Recursive Loop Protection ✅
Shipped. Detects and kills runaway agent loops before they drain your credits. 60s window, 30s cooldown.
Semantic Caching ✅
Shipped. Cache identical DLP-cleaned prompts. Cache hits eliminate the LLM call entirely — zero cost, zero latency. Backed by a low-latency distributed cache.
Webhook Notifications ✅
Shipped. HMAC-signed webhooks for PII blocks, prompt injection, redaction, budget alerts, and loop detection. Up to 5 per project.
EU AI Act Logging ✅
Shipped. Hash-chained, tamper-evident audit records with input/output fingerprints, JSONL export, and chain verification API. Ready for August 2026 enforcement.
Granular budget controls and next-generation prompt injection defense.
Multi-Provider Quotas
Set one budget across all providers. Get alerted at 50%, 80%, and 100% via Webhook or Slack.
ML Jailbreak Detection
Deep learning classifiers that catch attacks regex can’t — semantic similarity, encoding exploits, and novel patterns.
Policy-Based Routing
Automatically restrict to low-cost models when a project crosses a spending threshold.
Run the AISG proxy entirely inside your own infrastructure while managing policies, budgets, and observability from the cloud dashboard. Built for regulated industries — healthcare, finance, defense, government — where prompt data must never leave your network.
SaaS convenience meets on-prem data sovereignty. Manage everything from the cloud, but keep sensitive data processing inside your own firewall.
Cloud-Managed Policies
Create, version, and deploy DLP policies from the AISG dashboard to all proxy instances.
Self-Hosted Data Plane
The proxy runs inside your infrastructure. Prompts and responses never leave your network.
Zero Prompt Exposure
The cloud control plane never sees prompt content. Full separation of control and data planes.
Team Management
Role-based access, multi-seat enterprise accounts, and per-team policy assignment.
As enterprises move from chatbots to autonomous AI agents, governance shifts from static prompt filtering to real-time behavioral verification.
When AI agents call tools, execute code, and make decisions autonomously — who’s watching?
Agentic Governance
Monitor and control multi-step agent workflows. Enforce policies on tool calls, not just prompts.
MCP Security Layer
Intercept and validate Model Context Protocol tool calls before they execute.
Human-in-the-Loop
API hooks to approve or deny high-risk agent actions in real time.
Behavioral Monitoring
Anomaly detection for agent behavior — catch loops, data exfiltration, and scope creep automatically.
Stop guessing which model is best for your specific prompts. The world's first Financial & Quality Optimizer for production AI is here.
Smart Model Selection
Automatically pick the best model for each prompt based on quality, latency, and cost.
Cost Optimization
Reduce redundant AI spend through semantic caching and smart routing on production workloads.
Quality Benchmarking
Continuous evaluation of model responses against your quality criteria in real time.
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