REAL-TIME AI VERIFICATION LAYER

Stop trusting
AI outputs
blindly.

SoruvaGuard sits between your AI pipeline and the world. Every output gets scored for hallucinations, prompt injection, source integrity, risky content, and agent runaway risk — in under 200ms.

0
requests verified
0
injections blocked
0
ms avg latency
INTEGRATION — 3 LINES
# Before: no idea if your AI is safe
response = llm.generate(prompt)

# After: full verification in one call
from soruvalab import verify
result = verify(response)

# result.trust_score    → 87
# result.hallucination  → 12  ✓ SAFE
# result.injection      → 4   ✓ SAFE
# result.risky          → 8   ✓ SAFE
LIVE ACTIVITY
02:14:22 UTC
Blocked prompt injection attempt · Trust score 91
02:14:29 UTC
Groq provider latency spike detected · rerouted successfully
02:14:31 UTC
Semantic cache hit served response in 48ms
02:14:44 UTC
Hallucination risk reduced from 42 → 8
Groq · 184ms
OpenAI · 612ms
Anthropic · 488ms
Gemini · 521ms
WEBHOOK EVENTS
Stripe billing webhook received
SUCCESS
Slack security alert delivered
SENT
Trust policy updated successfully
ACTIVE
Anthropic provider failover completed
OK
SYSTEM STATUS
Groq Inference Cluster
OPERATIONAL
Trust Verification Engine
HEALTHY
Semantic Cache Layer
48ms
Webhook Delivery Network
99.98%
API REQUEST TIMELINE
Verify endpoint completed
02:14:52
Request ID rq_29f8x92 · Trust score 94 · Served in 182ms
Injection filter triggered
02:15:04
Suspicious role override detected · Request quarantined
Semantic cache hit
02:15:08
Cached verification returned in 41ms · No reprocessing needed
GLOBAL TRAFFIC DISTRIBUTION
US-East
42%
Tokyo
28%
Frankfurt
18%
Singapore
12%

AI pipelines ship
without a safety net.

Your AI produces confident, convincing output. But is it accurate? Is it being manipulated? Is it about to take an action it shouldn't?

🎭
Hallucination
27%
of AI chatbot responses contain inaccurate information. Confident, wrong, and undetected.
💉
Prompt Injection
94.4%
of AI agents are vulnerable. Attackers hijack your AI through the content it reads.
🚫
No Detection
73%
of organizations have no injection filtering in place. The door is wide open.
📎
Fabricated Citations
+81%
increase in invalid AI-generated citations in 2025. Even top research venues are fooled.
⚖️
Compliance Gap
Aug '26
EU AI Act high-risk obligations kick in. Organizations without verification face exposure.
💸
Business Cost
$2.4M
average cost per major hallucination incident across enterprise deployments.

Two layers.
One verdict.

STEP 01
Heuristic Layer
Pattern-based detection in under 5ms. Catches known injection signatures, risky keywords, and citation red flags instantly.
STEP 02
LLM Judge Layer
A calibrated AI judge performs deep semantic analysis. Detects novel hallucinations and subtle manipulation attempts.
STEP 03
Score Fusion
Both layers blend via a conservative max-blend algorithm. If either flags a risk, the final score reflects it.
STEP 04
Trust Score API
A single JSON response with five scores, explanations, and an overall Trust %. Pipe to dashboard, webhook, or block entirely.

Everything that can go
wrong, scored.

🎭
Hallucination Risk
Detects fabricated facts, invented citations, and unsupported claims
CORE
🔗
Source Integrity
Verifies cited URLs exist and content matches the claims made
UNIQUE
💉
Prompt Injection
Catches direct and indirect injection attacks, jailbreaks, persona hijacking
CORE
⚠️
Risky Content
Classifies harmful or policy-violating output across 15+ categories
CORE
🤖
Agent Runaway Risk
Detects instructions that could trigger unintended autonomous actions
UNIQUE

Every engineer thinks
this takes a weekend.

It doesn't. Here's what actually happens when you try to self-host AI verification.

01 — PERFORMANCE GAP
DIY STACK
6.2s
GPT-4o judge: 2–8s
Sync URL verify: +1–3s
Cold start penalty: +2s
→ Users notice. Churn follows.
VS
SORUVALAB
180ms
Semantic cache hit: <5ms
Groq hybrid inference: 50ms
Async URL verify: parallel
→ 34× faster. Zero config.
02 — YEAR 1 TOTAL COST
BUILDING IT YOURSELF
Initial dev (2 weeks eng) $20,000
Monthly maintenance (20h) $24,000
LLM API costs $3,600
Infra & monitoring $2,400
Total Year 1 ~$50,000
SORUVALAB PRO
Setup time 3 lines of code
Monthly maintenance $0
Threat DB updates Automatic
EU AI Act compliance Included
Total Year 1 $588
$49/mo buys you back
2 weeks of engineering time.
Every single month.

While your team ships features, we maintain 10,000+ attack patterns, monitor new jailbreak techniques, and keep your AI pipeline compliant.

Start Free — No Credit Card
03 — THE DIY MAINTENANCE TIMELINE
Month 1 — "This was easy"
Wrote 10 regex patterns. Feeling good.
Month 2 — New jailbreak drops
Hotfix deployed at 2am. Patterns updated.
Month 4 — Multi-language attacks
Japanese prompt injection bypasses everything. Nobody noticed for 3 weeks.
Month 6 — Team moves on
The engineer who built it left. No one understands the codebase.
Month 6 alt — You used SoruvaGuard
Shipped 3 new features instead. Pipeline still secure. Zero maintenance.

Simple. Per-check.
No surprises.

Usage-based pricing. Pay for what you verify. No sales call required.

DEVELOPER
Free
5,000 checks / month
  • All 5 verification scores
  • REST API access
  • Python + JS SDK
  • Community support
  • Webhooks
  • Audit logs
  • SLA guarantee
Join Waitlist
ENTERPRISE
$499/mo
Unlimited checks
  • Everything in Pro
  • 99.9% SLA
  • On-premise deployment
  • Custom score thresholds
  • SOC 2 compliance report
  • Dedicated support
  • EU AI Act audit trail
Contact Sales

Why not just use
existing tools?

Feature SoruvaGuard Lakera Guard Galileo Arize AI
Hallucination scoring
Source URL verification
Prompt injection detection
Agent runaway detection
Free tier available
Single API call, all scores
Setup time3 linesHoursDaysDays
Starting priceFree$99/moEnterpriseEnterprise
LIMITED EARLY ACCESS

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verify everything.

Free Developer plan for the first 1,000 signups. No credit card. No sales call.

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247 developers already on the list

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