How TrustLens Shield Works
What our AI can do — and just as importantly, what it can't. We'd rather you know the limits than trust us blindly.
Measured accuracy
These numbers come from running a labelled test set of 34 real and fake scam messages through the live detection engine on 19 August 2026 — not a marketing estimate, and not the same as a quick automated check we also run for every code change (that one uses a simplified stand-in model for speed, not the real one).
Precision
Of the content we flagged as a scam, how often we were right.
95.8%
target: above 90.0%
Recall
Of the actual scams in our test set, how many we caught.
100.0%
target: above 90.0%
Registry verification accuracy
Of registration numbers we could check against an official registry, how often our Verified/Unverified/Unauthorized call was correct.
100.0%
target: above 99.0%
Recall meets our own target in this test set, but no detector catches everything. We publish this number rather than a qualitative claim because it directly affects how much you should rely on a "low risk" verdict: treat it as one input, not a guarantee.
What "Unverified" means — and why we never say "safe"
A registration check can only ever return one of three answers:
- Verified — a positive, current, exact match on an official regulatory registry. This is the only case where we affirm anything.
- Unauthorized — a positive match on a regulator's own warning list.
- Unverified — everything else: no match, a registry that's unreachable or stale, or an ambiguous result. This is the default whenever we're not sure.
We never invent a fourth answer like "probably fine" or "safe." A green verdict always means a positive match we actually found — never the absence of a red flag.
Deepfake detection is advisory only
When we scan a video or image and don't find signs of manipulation, that is not proof the content is authentic — deepfake detection is not foolproof, and a well-made fake can pass undetected. We always combine this signal with the text and regulatory checks; a clean media scan on its own never clears content that's flagged elsewhere, and it never overrides a registry match.
What this AI cannot do
- It misses real scams — see the recall figure above. A "low risk" result is not a certificate of safety.
- It can only verify a registration number against the registries we've connected — an entity genuinely registered somewhere we don't cover will show as Unverified, not Verified.
- It reads text extracted from images and audio, and that extraction can itself fail or be imperfect — a garbled extraction can lead to a garbled analysis.
- It is not financial, legal, or investment advice, and it does not replace verifying important claims directly with the official regulator or your bank.
- Its accuracy for languages beyond Hindi and English has not been separately measured — treat results in other languages with extra caution until we publish numbers for them too.