Eclusia
Freemium
Legal professionals handling confidential cases
gate-oc-audit
PaidOpen SourceAPI
Coding agents like Claude Code and Cursor will cheerfully follow instructions injected into a malicious README, exfiltrate an API key buried in a tool response, or echo a customer's SSN back to whoever asked — because the model has no idea it's being played. Gate sits inline between your agent and the model API and stops those three scenarios before the model ever sees them.
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Summary
Gate operates as a drop-in proxy: your agent points at one endpoint, Gate inspects every outbound prompt and every inbound response, then enforces the policy you write — blocking injections, redacting secrets and PII, flagging ambiguous cases, and writing every decision to a tamper-evident audit log anchored to a blockchain. The vendor reports 97.4% F1 across 16 public prompt-injection benchmarks and a head-to-head F1 of 96.6% versus Lakera Guard's 83.7% on four matched datasets; methodology and per-benchmark scores are published. Token compression and prefix caching run on every request, and the vendor states users see 20% or more token savings without changing model outputs. Gate is in private beta with no self-hosted deployment option, so teams with hard data-residency requirements hit a wall immediately.
Bottom line: Pick Gate when you are running coding agents against untrusted inputs and need injection defense plus a compliance audit trail without rebuilding your API calls — skip it when your legal team requires the inference proxy to run inside your own infrastructure.
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Pros
- Proxy-based architecture means your agent changes one endpoint, not its entire codebase, so you get injection defense without a rewrite and without touching model provider credentials.
- Bidirectional inspection catches both inbound injections from tool responses and outbound PII or credential leaks in model replies, which means a single misconfigured response cannot silently send a customer's SSN or an AWS key to the wrong place.
- Vendor-published benchmark methodology with per-dataset scores lets you audit the 97.4% F1 claim yourself rather than taking marketing copy on faith — which matters when you are deciding whether to put this in front of production traffic.
- Inline token compression and cache-prefix marking run automatically, so teams switching from direct API calls to Gate can offset the added infrastructure cost against token savings the vendor states average 20% or more per request.
- Policy-driven rule enforcement writes every block, redact, and flag decision to a tamper-evident audit log, so compliance reviews have a verifiable record of what the agent was told and what it said — without manual logging code in your agent.
Cons
- No self-hosted deployment option exists on the current vendor page. Teams in healthcare, finance, or government with data-residency or network-isolation requirements cannot use Gate at all — they move to on-premise alternatives or build detection in-house.
- The 1% false-positive rate reported in the benchmark means Gate will block or flag legitimate requests. At low request volumes this is a minor inconvenience; in high-throughput pipelines where a blocked call means a failed agent task, teams need a human-review queue or a fallback path — neither of which is described in the current docs, adding implementation overhead.
- Private beta access is invite-only with no stated general availability timeline on the vendor page, so teams cannot schedule Gate into a production roadmap with confidence. Projects that need a committed SLA or guaranteed capacity move to established providers like Lakera Guard despite the lower reported benchmark scores.
About
- Platforms
- Web proxy, desktop app
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- June 18, 2026
Best For
Who it's for
- Teams running autonomous AI agents
- Organizations needing verifiable audit trails
- Users of multiple model providers seeking unified defense
What it does well
- Protecting coding agents from prompt injection
- Preventing secret and PII exfiltration in agent workflows
- Maintaining tamper-evident audit logs for compliance
- Reducing token costs via compression and caching
Integrations
Frequently Asked Questions
- Is gate-oc-audit free?
- gate-oc-audit is a paid tool. No permanent free tier is offered.
- Is gate-oc-audit open source?
- Yes. gate-oc-audit is open source.
- Does gate-oc-audit have an API?
- Yes. gate-oc-audit exposes a developer API. See the official documentation at https://constellationgate.ai for details.
- What platforms does gate-oc-audit support?
- gate-oc-audit is available on: Web proxy, desktop app.
Curated lists that include this category
Autonomous agents that call tools, browse the web, or process user-supplied documents expose a surface the model cannot defend on its own: an attacker-controlled string in a ticket, a doc, or a tool response becomes the agent’s next instruction set. Gate addresses this by acting as a transparent proxy — your agent sends the same API calls it already makes, Gate intercepts them, runs inspection in both directions, and forwards clean requests to Anthropic, OpenAI, Google, xAI, OpenRouter, or any model behind those providers. Blocking, redacting, flagging, and logging happen inline before the model responds.
The core differentiator the vendor emphasizes is detection accuracy. Gate publishes a benchmark report covering 16 public prompt-injection datasets, claiming the top rank on 8 of them and a mean F1 of 96.6% versus 83.7% for Lakera Guard across four head-to-head matched datasets at equivalent false-positive rates. A 1% false-positive rate across those benchmarks means roughly one legitimate request in a hundred gets flagged — a number that matters when Gate is blocking, not just logging. Teams with high-volume, low-latency pipelines need to evaluate whether that rate is acceptable before they commit.
Gate also applies lossless compression and prompt-cache prefix marking on every outbound request. The vendor states the compression strips redundant tokens without changing what the model sees, and the cache-marking ensures providers bill reusable prefixes — system prompts, tool definitions, conversation history — at discounted cached rates. The vendor claims 20% or more token savings for most users. The audit trail writes every prompt, response, and rule decision to a blockchain-backed log anchored to Constellation Digital, which satisfies tamper-evidence requirements for compliance teams who need to prove what the agent did and when.
Gate is currently in private beta via email invite. There is no self-hosted or bring-your-own-infrastructure option described on the vendor page, which is a hard stop for regulated industries where data cannot leave a controlled environment. The open-source designation in some directories should be verified directly with the vendor before architecture decisions depend on it — the public page contains no source repository link or license reference.
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