PromptDefend sits in front of your models and cuts token spend with semantic caching, model routing, and prompt optimization — while blocking the injection, exfiltration, and jailbreak attacks that quietly inflate your bill.
Typical LLM cost reduction
Added gateway latency
Prompts inspected & logged
To change your base URL
Teams ship to production and watch the invoice climb: redundant calls, oversized prompts, premium models doing trivial work, and retries on failures. Worse, a single prompt-injection or runaway-generation exploit can spike spend overnight while leaking data.
Drop PromptDefend in front of any provider — OpenAI, Anthropic, Google, or your own open-source models — and control cost and risk from a single control plane.
Prompt compression, token budgeting, and dead-call elimination trim every request to its cheapest correct form — with a real-time spend dashboard per team, app, and key.
Policy-based routing sends each request to the cheapest model that meets your quality bar, with automatic fallback and load balancing across providers and regions.
Exact and embedding-based caching returns answers to repeated and near-duplicate prompts in milliseconds — turning your most common queries into a $0 line item.
Inline detection blocks prompt injection, jailbreaks, PII/secret exfiltration, and runaway generations before they cost you money — or a headline.
No rip-and-replace. PromptDefend is a drop-in, OpenAI-compatible proxy.
Point your existing SDK at the PromptDefend endpoint. Your code and prompts stay exactly the same.
Choose routing rules, cache TTLs, spend limits, and security thresholds in a simple dashboard.
Every prompt and response is scanned, cached where safe, and logged for audit and compliance.
See real-time savings, blocked attacks, and per-team usage from one control plane.
Every attack on an LLM is also a billing event. PromptDefend's firewall protects your data and your wallet at the same time.
Proprietary data leaking through a clever prompt, a jailbroken model going off-script, or an injected instruction triggering thousands of dollars in generation — these are security incidents and budget incidents at once.
PromptDefend inspects every prompt and response inline, enforces your policies, and produces the audit trail your compliance team needs — SOC 2, GDPR, and HIPAA-aligned logging out of the box.
Talk to SecurityDetects and neutralizes adversarial instructions hidden in user input, documents, and tool output.
Redacts PII, secrets, and proprietary data before it leaves your perimeter — inbound and outbound.
Blocks role-play, obfuscation, and policy-evasion attacks that push models past their guardrails.
Caps tokens, loops, and concurrency to stop denial-of-wallet attacks and accidental cost explosions.
No. PromptDefend is OpenAI-compatible. In most cases you change a single base URL and keep your existing SDK, prompts, and models.
It depends on your traffic, but teams typically see 40–70% reductions once caching, routing, and prompt optimization are switched on. We start with a free spend analysis.
OpenAI, Anthropic, Google, Azure, AWS Bedrock, and self-hosted open-source models behind a single API.
PromptDefend can run as a managed gateway or fully inside your own VPC. Either way, inspection happens inline and nothing is used to train models.
Book a 30-minute demo and we'll run a free analysis of your current spend.
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