Guardrails That Are Governed, Not Just Turned On

Govern access before spend happens

Guardrails are usually sold as a yes/no feature: every request gets scanned, or none do. That ignores two real constraints — heavy detectors add latency and cost on every call, and a scan that always blocks or always allows creates its own risk: silent bypass with no record, or blanket enforcement that breaks legitimate high-volume traffic. Teams need guardrails a security reviewer can trust and a platform team can afford at scale.

• Detector cost scales with traffic, but budgets rarely account for it
• Blanket enforcement breaks trusted high-volume or pre-verified traffic
• Bypass decisions with no owner, no version, and no audit trail
• No visibility into how much guardrail cost is being avoided versus incurred

One policy layer across model usage

Cloptima's gateway core evaluates prompt-injection, jailbreak, PII, and secret detectors inline on gateway traffic, then applies a cost-benefit policy: downgrade to a lightweight profile, require human approval, or block, based on a configured cost mode and per-request cost cap. Bypass is never silent — it is versioned, scoped to specific trusted app profiles or exact-cache-hit conditions, and every bypass and every block is written to an auditable evidence trail with redaction applied before storage.

• Prompt injection, jailbreak, PII, and secret detectors on gateway traffic
• Guardrail cost mode: downgrade, require-approval, or block when a per-request cost cap is exceeded
• Versioned guardrail profile publishing, so a weakened profile can't ship without review
• Policy-controlled bypass for exact-cache hits and pre-verified app profiles only — never a blanket exception
• Full bypass and block audit stream with evidence redaction, reviewable in the Audit tab

Start with one app, then expand

Turn on detection in observe mode for your highest-risk apps, review the bypass and block audit stream for a week, then decide which app profiles are trusted enough for a scoped, versioned bypass — publish that as an approved guardrail profile version rather than a silent config change.

Built for private production AI

Guardrail cost decisions run in the same policy evaluation as budget and routing checks, so a heavy detector's cost is priced and capped before it runs, not audited after the fact. Profile publishing goes through the same approval queue as policy and budget changes, so a guardrail can't be quietly loosened by one engineer — every change needs a reviewer, and every approved change is versioned.