Elephant

The Elephant blog on trusted identity

4 min read

Your identity graph is a lie

Fraud systems trust their identity graphs as truth. But in high-growth, shared-device environments, those links blur good and bad users together. False confidence creates cascading errors that block revenue and erode trust.

4 min read

Precision fatigue: Why better models don't make better decisions

5 min read

You’ve trained your systems to block bots, but agentic commerce would like a word

3 min read

Your fraud system is confident, but it’s also wrong

3 min read

How trust systems are built and not just assumed

3 min read

Your model may be precise, but is it fluent?

3 min read

If your model is so accurate, why doesn’t anyone trust it?

3 min read

It’s not a model accuracy problem; it’s a model use problem

3 min read

Escalation isn’t a failsafe, it’s a symptom

3 min read

What your model gets right, your system still corrects

3 min read

You made it observable, but no one is watching

3 min read

Are you still running a threat-era system in a trust-era world?

3 min read

What it really means to run an adaptive fraud system

3 min read

Every decline is a data leak

4 min read

The Elephant blog on trusted identity

Your identity graph is a lie

Precision fatigue: Why better models don't make better decisions

You’ve trained your systems to block bots, but agentic commerce would like a word

Your fraud system is confident, but it’s also wrong

How trust systems are built and not just assumed

Your model may be precise, but is it fluent?

If your model is so accurate, why doesn’t anyone trust it?

It’s not a model accuracy problem; it’s a model use problem

Escalation isn’t a failsafe, it’s a symptom

What your model gets right, your system still corrects

You made it observable, but no one is watching

Are you still running a threat-era system in a trust-era world?

What it really means to run an adaptive fraud system

Every decline is a data leak

Your KPIs are grading the wrong test