Helicone Alternative with Active PII Redaction & Governance
Helicone is a popular LLM observability platform that gives developers cost tracking, request logging, session tracing, and performance analytics with minimal integration effort. For teams that need visibility into their AI spend and usage patterns, it delivers genuine value.
But observability answers the question “what happened?” — it does not answer “what should not have happened?”Helicone logs your requests after they reach the provider. It does not scan for PII, does not redact sensitive data, does not block prompt injections across all providers, and does not enforce hard spending limits that reject requests before they are processed.
AI Security Gateway is built for the teams that need active governance — not just after-the-fact visibility, but real-time intervention: PII redaction, vision OCR scanning, prompt injection blocking, and pre-flight budget enforcement that stops requests before they cost money or leak data.
Why This Matters
The difference between observability and governance is the difference between knowing that sensitive data was sent and preventing it from being sent.
Observability (Passive)
The request is forwarded to the provider. You can see cost, latency, and token counts in your dashboard. You can omit request bodies from logs to avoid storing PII. But the PII already reached the provider.
Governance (Active)
The request is scanned in real time. PII is redacted or the request is blocked before it ever reaches any provider. Budget is checked before tokens are consumed. The sensitive data never leaves your control.
What Helicone Does Well
Helicone is a well-built observability platform with a developer-friendly integration model. Credit where it's due:
One-line proxy integration
Swap your API base URL and you get full observability — request/response logging, cost tracking, and latency metrics with minimal code changes. Negligible latency overhead.
Deep cost analytics
Cost breakdowns by model, user, feature, and environment. Session-level cost tracking shows the true price of multi-step agent workflows. Weekly automated reports delivered to email or Slack.
Intelligent caching
Cache responses to eliminate redundant API calls. Configurable TTL. Typical savings of 15–30% on repetitive workloads.
Session and trace support
Group related requests into sessions for agent workflow visualization. Custom traces for non-LLM operations (database queries, API calls) give full pipeline visibility.
Open-source and self-hostable
Apache 2.0 licensed. Deploy via Docker or Helm chart within your own infrastructure. SOC 2 Type II and GDPR compliant on managed cloud.
Where Observability Alone Falls Short
Helicone is designed to watch and measure — not to intervene. When production AI systems handle real customer data and face real cost pressure, that gap becomes material:
No PII detection or redaction
Helicone does not scan prompts for sensitive data. It offers "Omit Logs" headers to exclude request/response bodies from storage — but the data still reaches the LLM provider. Omitting logs is a privacy measure for your observability layer, not a security measure for your AI pipeline.
No vision / image OCR scanning
Multi-modal requests with images are logged but never inspected. A screenshot containing SSNs, medical records, or API keys is forwarded directly to the provider and stored in Helicone's logs (unless explicitly omitted).
Prompt injection blocking limited to OpenAI
Helicone's LLM Security feature uses Meta's Prompt Guard and Llama Guard models — but currently only works with OpenAI models (gpt-4, gpt-3.5-turbo). Requests to Anthropic, Gemini, Groq, or open-source models are unprotected.
No per-project DLP policies
There is no concept of project-level security rules. You cannot define different scanning rules for a healthcare app vs a marketing chatbot. Custom properties help segment costs, but they don't enforce data policies.
Soft budget limits only
Helicone provides cost alerts at configurable thresholds (50%, 80%, 95%) and rate limits per user — but these are notifications, not hard stops. There is no pre-flight balance check that rejects a request before tokens are consumed. A runaway agent loop triggers an alert after the spend has already occurred.
No managed credits or wallet
Helicone is a BYOK-only proxy — you must have your own provider API keys. There is no prepaid wallet for teams without provider accounts, and no Smart Router that automatically selects the cheapest provider per request.
The AI Security Gateway Approach: Active Governance
AI Security Gateway does not just log what happened — it actively intervenes in every request before it reaches any provider. The full pipeline runs automatically:
Native 28-Entity PII Firewall
Pattern matching, checksum validation, and context heuristics detect SSNs, credit cards, API keys, emails, and 22 more entity types. Redact or block — before anything reaches the provider. No third-party service needed.
PII redaction deep dive →Vision OCR Security
Base64-encoded images are extracted via OCR and scanned with the full DLP engine. A screenshot containing PII is blocked before the provider sees it. Processed in RAM only — never stored.
Vision security docs →Hard Budget Enforcement
In Managed Mode, every request is cost-estimated before forwarding. If the wallet is insufficient, a 402 is returned — not an alert after the fact. Output tokens are auto-capped by remaining balance.
Budget enforcement deep dive →Managed Credits + Smart Router
No provider accounts needed. Top up the AISG wallet, and the Smart Router selects the cheapest provider per request. Typical savings of 40–60% vs single-provider pricing.
Billing & wallet docs →Feature Comparison
Side-by-side comparison of observability, security, and governance capabilities. Green indicates full support, amber indicates partial or limited support, red indicates the feature is not available.
| Feature | Helicone | AI Security Gateway |
|---|---|---|
| Request/response observability | Full logging, traces, sessions, custom properties | Metadata-only audit logs (prompts not stored), correlation IDs |
| PII detection & redaction | Not available (omit logs to hide data) | Native 28-entity engine — zero-config, real-time redaction |
| Prompt injection firewall | Via Meta Prompt Guard (OpenAI models only) | Native multi-layer detection + BLOCK (all providers) |
| Vision / image OCR scanning | Not available | Base64 OCR with full DLP enforcement |
| Per-project DLP policies | Not available | Custom per-entity rules with versioning and audit trail |
| Budget enforcement | Cost alerts at thresholds (soft limits) | Pre-flight hard stop, per-request token cap, 402 rejection |
| Managed wallet credits | Not available (BYOK only) | Prepaid wallet with Smart Router ($1 = 1M credits) |
| Smart cost routing | BYOK priority + cost-based routing (AI Gateway) | Real-time price indexing, auto-selects cheapest (~40–60% savings) |
| BYOK | Required (your keys, their proxy) | Optional — BYOK at 0% markup or use Managed Credits |
| Caching | Intelligent caching with TTL | Not available (stateless by design) |
| User analytics | Per-user cost, usage, engagement tracking | Per-project dashboards with violation tracking |
| Custom regex patterns | Not available | Enterprise IP Guard per project |
| Zero-config protection | No security enabled by default | All 28 entities active from first API call |
| Self-hosted / open-source | Open-source (Apache 2.0), Docker + Helm | Open-source gateway (Apache 2.0) |
| Pricing model | Free 10K req/mo; Pro $79/mo; Team $799/mo | Free 1M credits; Pro $29/mo; BYOK at $0 |
“Omit Logs” Is Not PII Redaction
Helicone offers Helicone-Omit-Request and Helicone-Omit-Response headers to exclude request/response bodies from their log storage. This protects your observability layer from storing PII — but the PII still travels to the LLM provider. These are fundamentally different operations:
1. App sends prompt: “Patient John Smith, SSN 123-45-6789”
2. Helicone proxies request to OpenAI ← PII reaches OpenAI
3. Response returned to app
4. Helicone logs cost + latency but omits the request body
Result: PII is not in your Helicone dashboard. It is in OpenAI's servers.
1. App sends prompt: “Patient John Smith, SSN 123-45-6789”
2. AISG scans → detects PERSON + US_SSN
3. AISG redacts: “Patient [PERSON], SSN [US_SSN]”
4. Cleaned prompt forwarded to OpenAI
Result: OpenAI never sees the real name or SSN.
Use Both Together
AISG and Helicone solve different problems. For teams that want both active governance and deep observability, you can chain them:
import OpenAI from "openai";
// Point your app at AISG for governance
const client = new OpenAI({
apiKey: "os_hub_your_key_here",
baseURL: "https://api.aisecuritygateway.ai/v1",
});
// AISG scans, redacts, and enforces budget.
// Helicone can be added downstream for cost analytics.
// The prompt Helicone logs is already clean — PII is gone.This gives you the best of both worlds: AISG handles security (PII redaction, injection blocking, budget enforcement) and Helicone handles observability (cost analytics, session tracing, caching). Helicone only ever sees the cleaned data.
Migrate from Helicone
If you are already using Helicone as a proxy, switching to AISG requires changing the base URL and API key:
import OpenAI from "openai";
const client = new OpenAI({
apiKey: "sk-xxxxx",
baseURL: "https://oai.helicone.ai/v1",
defaultHeaders: {
"Helicone-Auth": "Bearer your-helicone-key",
},
});import OpenAI from "openai";
const client = new OpenAI({
apiKey: "os_hub_your_key_here",
baseURL: "https://api.aisecuritygateway.ai/v1",
});
// PII redaction, vision OCR, prompt injection blocking,
// and budget enforcement are active immediately.
// No headers needed. No configuration required.When to Use Each
Helicone
Best for teams that prioritize observability and cost analytics:
- •You need full request/response logging with session tracing
- •Response caching is a priority for reducing API costs
- •Your primary concern is cost visibility, not data governance
- •You want per-user engagement analytics and custom property segmentation
- •Your prompts contain no sensitive customer data
AI Security Gateway
Built for teams that need governance and active security:
- •Applications handling customer PII (healthcare, finance, legal)
- •Teams with GDPR, HIPAA, or PCI-DSS compliance requirements
- •Vision/multi-modal apps where images may contain sensitive data
- •Startups without provider accounts (use Managed Credits)
- •Budget-conscious teams that need hard pre-flight spend limits
- •Teams that want zero-config security from the first request
Add Active Governance to Your AI Stack
Create an account, get your API key, and every request is automatically scanned, redacted, and budget-checked. No configuration. No third-party integrations. Protection from the first API call.
Related Documentation
- AI Gateway with PII Redaction — 28-entity detection and the AI Firewall
- Prompt-Level DLP & PII Redaction — Architecture and latency benchmarks
- LLM Budget Enforcement — Token quotas, threshold alerts & loop protection
- OpenAI-Compatible Proxy — Drop-in replacement for the OpenAI SDK
- Portkey Alternative — Native PII firewall vs guardrail marketplace
- Vercel AI Gateway Alternative — Active security vs passive logging
- OpenRouter Alternative — AI gateway with built-in governance
- Model Catalog — Pricing across 300+ models and 9 providers
- Enterprise Security & Trust Center
- Product Roadmap — Phase 1.1 Budget Enforcement & beyond
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