When harmful synthetic media goes viral, knowing it’s fake isn’t enough.
ECE AI helps turn publicly observable digital traces into an understandable evidence trail — showing where harmful content was first observed, how it spread, what can be established, and what remains uncertain.
@source_example
Earliest public occurrence
@account_b
Public repost · 22:03 UTC
@account_c
Public repost · 22:27 UTC
Cross-platform
37 related occurrences
Three pillars, one evidence trail.
Trace
Find and organize publicly observable occurrences of harmful synthetic media, ordered by when they first appeared.
Verify
Separate what the evidence supports, what is inferred, and what remains genuinely uncertain — never blended together.
Respond
Prepare a structured, exportable evidence package that points toward responsible, non-vigilante next steps.
ECE AI is designed around a simple principle: people should not blindly trust an AI verdict. They should be able to understand the evidence behind it.
Every assessment separates evidence, inference, and uncertainty — so the reasoning stays visible, not hidden inside a black box.
Built with ethical guardrails, not just good intentions.
ECE AI never claims to identify the real person behind an account, never accesses private accounts or telecom data, and never claims automatic takedown. This prototype uses only fictional, simulated demo content — see our privacy & ethics page for the full list of boundaries.