Stopping fraud
at the point of action
Stopping fraud
at the point of action
Impersonation and pressure don’t cause damage on their own.
Harm happens when someone approves, changes, or pays. We step in at that exact moment, before the damage is done.
Why this matters now
Why this matters now
AI has transformed fraud not by breaking systems, but by breaking trust. They convince real people to do the wrong thing, inside tools they already trust.
AI has transformed fraud not by breaking systems, but by breaking trust. They convince real people to do the wrong thing, inside tools they already trust.
£5B lost globally to BEC last year
Globally, BEC accounted for approximately $6.7 billion in losses, making it one of the costliest forms of corporate fraud in 2024.
£5B lost globally to BEC last year
Globally, BEC accounted for approximately $6.7 billion in losses, making it one of the costliest forms of corporate fraud in 2024.
£5B lost globally to BEC last year
Globally, BEC accounted for approximately $6.7 billion in losses, making it one of the costliest forms of corporate fraud in 2024.
79% hit by payments fraud in 2024
Nearly 79 % of organisations reported payments fraud attempts in 2024, showing how widespread financially targeted deception has become.
79% hit by payments fraud in 2024
Nearly 79 % of organisations reported payments fraud attempts in 2024, showing how widespread financially targeted deception has become.
79% hit by payments fraud in 2024
Nearly 79 % of organisations reported payments fraud attempts in 2024, showing how widespread financially targeted deception has become.
Impersonation incidents up by 85%
In a survey of IT/security teams, 85 % reported experiencing deepfake-related or impersonation incidents in the past year — often with substantial financial losses.
Impersonation incidents up by 85%
In a survey of IT/security teams, 85 % reported experiencing deepfake-related or impersonation incidents in the past year — often with substantial financial losses.
Impersonation incidents up by 85%
In a survey of IT/security teams, 85 % reported experiencing deepfake-related or impersonation incidents in the past year — often with substantial financial losses.
Payment redirection fraud cost UK organisations £1.2bn
Attackers target high-trust workflows (approvals, supplier updates, payroll changes, MFA resets) where decisions rely on trust.
Payment redirection fraud cost UK organisations £1.2bn
Attackers target high-trust workflows (approvals, supplier updates, payroll changes, MFA resets) where decisions rely on trust.
Payment redirection fraud cost UK organisations £1.2bn
Attackers target high-trust workflows (approvals, supplier updates, payroll changes, MFA resets) where decisions rely on trust.
AI attacks now top CISO concerns
80% of CISOs now rank AI-powered attacks as their top cyber risk.
AI attacks now top CISO concerns
80% of CISOs now rank AI-powered attacks as their top cyber risk.
AI attacks now top CISO concerns
80% of CISOs now rank AI-powered attacks as their top cyber risk.
Deepfake-associated fraud estimated at $12B globally
Deepfake-enabled scams are estimated to contribute to $12 billion in global fraud losses, with that figure projected to grow in coming years.
Deepfake-associated fraud estimated at $12B globally
Deepfake-enabled scams are estimated to contribute to $12 billion in global fraud losses, with that figure projected to grow in coming years.
Deepfake-associated fraud estimated at $12B globally
Deepfake-enabled scams are estimated to contribute to $12 billion in global fraud losses, with that figure projected to grow in coming years.
How We Help
How We Help
Most modern attacks succeed at the same point:
when someone is convinced to approve a payment, change details, or grant access that looks legitimate. We focus on that moment and make sure it’s verified before it goes through.
Turn every meeting into clear summaries, searchable notes, and action-ready insights, all in one seamless workspace.
Approval Detection
We recognise when someone is about to do something risky, like sending money or changing bank details. This happens inside the browser, at the exact point of approval.
Vendor Bank Detail Change Attack
Ai
02 Jan

Employee
Approval detected
Reviewing context…
This action differs from your normal pattern
Additional verification required
Confirm to proceed
Transcript Example
Approval Detection
We recognise when someone is about to do something risky, like sending money or changing bank details. This happens inside the browser, at the exact point of approval.
Approval Detection
We recognise when someone is about to do something risky, like sending money or changing bank details. This happens inside the browser, at the exact point of approval.
Payment approval detected
Sometimes, a second check is the difference between a mistake and a near-miss.
Timing Consistency
Approval Sequence
Change Sensitivity
Context & Behaviour Assessment
When someone reaches an approval screen, we pause for a moment and check whether this looks like a normal action or one taken under pressure.
Context & Behaviour Assessment
End-to-end encryption ensures your conversations stay private and secure.
Payment approval detected
Sometimes, a second check is the difference between a mistake and a near-miss.
Timing Consistency
Approval Sequence
Change Sensitivity
Context & Behaviour Assessment
When someone reaches an approval screen, we pause for a moment and check whether this looks like a normal action or one taken under pressure.
Vendor Bank Detail Change Attack
Ai
02 Jan

Employee
Approval detected
Reviewing context…
This action differs from your normal pattern
Additional verification required
Confirm to proceed
Transcript Example
Minimal Verification When Needed
If something looks off, we ask for an extra check before the action completes. If everything looks normal, the workflow continues uninterrupted.
Payment approval detected
Sometimes, a second check is the difference between a mistake and a near-miss.
Timing Consistency
Approval Sequence
Change Sensitivity
Minimal Verification When Needed
Protect your customers and your brand from fake ads, fake support agents, fraudulent offers and impersonation scams with clear detection steps, response playbooks and rapid crisis guidance.
Vendor Bank Detail Change Attack
Ai
02 Jan

Employee
Approval detected
Reviewing context…
This action differs from your normal pattern
Additional verification required
Confirm to proceed
Transcript Example
Minimal Verification When Needed
If something looks off, we ask for an extra check before the action completes. If everything looks normal, the workflow continues uninterrupted.
Approval Context
Large Amount
Payment Consistency
Timing anomalies
Known Scam Patterns
Identity Mismatch
Unusual Request
Change Sensitivity
New Vendor
Lookalike Domain
Rushed Action
Weak Verification
Change Sensitivity
Unusual Request
Identity Mismatch
Known Scam Patterns
Timing anomalies
Payment Consistency
Large Amount
Approval Context
Change Sensitivity
Unusual Request
Identity Mismatch
Known Scam Patterns
Privacy-Preserving by Design
We don’t read emails, messages, or calls. We don’t record screens. We only look at how an action is being carried out, not what’s being said.
Approval Context
Large Amount
Payment Consistency
Timing anomalies
Known Scam Patterns
Identity Mismatch
Unusual Request
Change Sensitivity
New Vendor
Lookalike Domain
Rushed Action
Weak Verification
Change Sensitivity
Unusual Request
Identity Mismatch
Known Scam Patterns
Timing anomalies
Payment Consistency
Large Amount
Approval Context
Change Sensitivity
Unusual Request
Identity Mismatch
Known Scam Patterns
Privacy-Preserving by Design
We don’t read emails, messages, or calls. We don’t record screens. We only look at how an action is being carried out, not what’s being said.
Approval Context
Large Amount
Payment Consistency
Timing anomalies
Known Scam Patterns
Identity Mismatch
Unusual Request
Change Sensitivity
New Vendor
Lookalike Domain
Rushed Action
Weak Verification
Change Sensitivity
Unusual Request
Identity Mismatch
Known Scam Patterns
Timing anomalies
Payment Consistency
Large Amount
Approval Context
Change Sensitivity
Unusual Request
Identity Mismatch
Known Scam Patterns
Privacy-Preserving by Design
We don’t read emails, messages, or calls. We don’t record screens. We only look at how an action is being carried out, not what’s being said.
Not sure where to start?
Not sure where to start?
Run the AI-Fraud Exposure Check, a short assessment revealing your impersonation and workflow risks.
Run the AI-Fraud Exposure Check, a short assessment revealing your impersonation and workflow risks.
Our Story
Our Story
I’m Euan, a cyber practitioner specialising in hostile social engineering, deception analysis and AI-enabled cybercrime.
I've built a number of things over my career, including an AI attack-simulation platform capable of voice cloning, multi-channel phishing and fake portals.
Our work focuses on real attacker behaviour, not hype. Our goal is simple: show you where attackers would succeed and help you close the gaps before they try.
I’m Euan, a cyber practitioner specialising in hostile social engineering, deception analysis and AI-enabled cybercrime.
I've built a number of things over my career, including an AI attack-simulation platform capable of voice cloning, multi-channel phishing and fake portals.
Our work focuses on real attacker behaviour, not hype. Our goal is simple: show you where attackers would succeed and help you close the gaps before they try.



Strengthen your defences before attackers test them
Strengthen your defences
Your organisation is already being impersonated. A short AI-assisted review can reveal where, and what to do next.