NEWSCloudsineAI’s TraceCtrl LLM Guards has been approved for the IMDA Spark programme
TraceCtrlTraceCtrl
tracectrlGUARDS· FOR LLMS

Supercharge productivity with GenAI.
Secured in the path.

A security control gateway between your GenAI applications and every LLM endpoint. Prompts are checked before they reach the model, responses before they reach your users — injection, system-prompt leakage, sensitive data and the rest of the OWASP Top 10 for LLMs, stopped in the path.

Book a DemoRead the docs →
DEPLOYED ON AWS · MARKETPLACE ↗

PRODUCTION-DEPLOYED IN SINGAPORE · GOVERNMENT & REGULATED ENTERPRISE

DEFENCE IN DEPTH

Defense in depth.
Multi-layered guardrails.

ShieldPrompt™, the guardrail engine behind Guards, runs the deterministic checks on CPU to catch known patterns, then hands anything that slips past to four model-based detectors on GPU.

100% PII · 93% prompt injection · 92% unsafe content · 91% system-prompt leakage — CloudsineAI eval harness

LAYER 01 · STANDARD GUARDRAILSCPU · DETERMINISTIC
  • Keyword blocklistExact phrase match, operator-defined
  • Regex patternsYour rule sets, enforced on every call
  • PII detectionNER-based — NRIC, passport, cards, emails, phone
LAYER 02 · MODEL-BASED GUARDSGPU · MODEL-BASED
INPUT + OUTPUTCyberLLMAn LLM built to detect malicious intent — scores injection likelihood 0–1
INPUT · TVDBVector filterSemantic match against our threat corpus — catches the paraphrased attack
OUTPUTContent moderationPurpose-built classifier for hazardous content, per-category control
OUTPUTSystem-prompt protectionCatches the model leaking its own instructions
BUILT TO ALIGN WITH
  • OWASP Top 10 for LLM Applications
  • NIST AI Risk Management Framework
  • MITRE ATLAS
  • CSA Guidelines on Securing AI Systems
  • GovTech LLM Cybersecurity Playbook

IN THE PATH

INLINE · ≤1.5S SLO PER MESSAGE
SEA-LIONSELF-HOSTED
SECURITY RESEARCH · TVDB

New attacks on LLMs,
caught before they reach you.

CloudsineAI’s security research team tracks new jailbreaks, injection techniques and disclosures as they are published. Each attack is distilled into TVDB, our proprietary threat-vector database, and pushed to every gateway. No redeploy, no model retrain.

CONTINUOUS RELEASES · ACCELERATED FOR HIGH-IMPACT DISCLOSURES

  1. 01 · MONITORNew attack technique publisheddisclosures · academic papers · red-team findings
  2. 02 · RESEARCHDistilled into a threat vectorreproduced · generalized to its paraphrases · scored
  3. 03 · TVDB RELEASELive on every gatewayTVDB-2614Payload-splitting via markdown refsTVDB-2613Multilingual jailbreak · low-resource pivot

Every LLM call, through the gate.

Book a demo and see prompts checked on the way in and responses checked on the way out.

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