Stop social engineering at your help desk
Catch attackers who target IT and support desk agents to reset credentials, unlock accounts, and bypass MFA, on the calls where access is one approved request away.
Where help desk attacks show up
Social engineering credential resets
Attackers call support desks impersonating employees, using scripted pressure to push agents into resetting passwords and bypassing MFA without proper verification.
Account takeover via IT support
A convincing caller with enough context about an employee can unlock accounts and change access before the agent realizes the request was fraudulent.
How a help desk attack unfolds
These attacks move through a recognizable sequence. Diopter scores that sequence while the call is still in progress.
An employee is impersonated
The caller presents as a legitimate staff member or contractor the help desk is expected to assist.
Something is locked and urgent
A locked account or a missed deadline frames the request as a simple fix the agent should handle immediately.
Verification steps are resisted
The caller pushes back on additional identity checks, citing urgency or invoking authority to shortcut the process.
Access escalates
A password reset becomes an MFA bypass, then a broader account unlock or privilege grant.
Credentials are handed over
The agent acts before confirming identity, giving the attacker a foothold inside your systems.
What Diopter looks for
Synthetic audio on inbound calls
Score the inbound caller for cloning and synthesis as the conversation happens.
Social engineering and pretext patterns
Detect the pressure, urgency, and authority framing that targets help desk agents under volume.
Out-of-policy verification resistance
Flag callers who push back on standard verification steps or invoke authority to skip them.
From signals to one action your team can take.
- AudioSynthetic detected
- PretextDetected
- VerificationResisted
Agents receive a flag during the call before a reset is issued or access is unlocked.
Most tools check one clip. Diopter reads the whole call.
Point-in-time detectors answer a single question: is this video or voice fake? A good clone passes that test. Diopter scores the whole conversation, the authority claims, the manufactured urgency, the push to go off-channel, and the escalating ask, then raises a verdict on the pattern a single frame cannot show.
Help desk agents are trained to resolve quickly. Attackers exploit that training. Diopter gives agents a verdict before they act.
Light to deploy, clear about what runs where.
Pilot in days, roll wider through MDM, and keep sensitive call media inside your perimeter.
- On-prem and hybrid deployments supported
- No caller-side install
- Bot or bot-free capture
- Configurable retention, including ZDR
- MDM rollout (Intune, Jamf)
- SOC 2 Type II in progress
What security and fraud teams ask first.
Walk an attack arc with Diopter.
In 30 minutes, we will replay a real deepfake incident, show the signals Diopter would score, and map the verdict your team could act on.