Security awareness training

Security awareness training was built to reduce risk by teaching employees to recognize phishing.

Platforms run simulated campaigns, score click rates, and deliver follow-up training to those who click.

That model requires users to make the right call, every time. Modern browser-based attacks are specifically designed to make that harder.

Button
Trusted by:

Stop testing users. Start stopping attacks.

The problem with modern phishing attacks is that spotting one reliably requires expert-level pattern recognition that most users can't be expected to apply consistently, under real-world conditions, every time. Putting that burden on individuals is an unreliable security model.

Push doesn't test judgment. It detects and blocks attacks in the browser before the user even needs to make a decision.

Dimension Push Security Security awareness training
Security approach
Detects and blocks attacks in the browser
Trains users to recognize suspicious signals
Protection model
Works regardless of whether the user recognizes the threat
Depends entirely on the user making the right call
Sophisticated attacks (AiTM, ClickFix, AI-generated)
Detects automatically at the technical level — no reliance on user pattern recognition
Requires users to spot signals that demand expert-level knowledge to identify reliably
When a user clicks
Blocks credential entry and the malicious page in real time
No intervention — the attack proceeds
Security education
In-browser warnings when real attacks are blocked — employees learn from actual threats at the moment they matter
Periodic simulations using fictional scenarios
Attack channels
Any channel that delivers phishing to the browser — email, SMS, QR codes, search ads
Email-focused simulations
Push Security
Security awareness training
Security approach
Detects and blocks attacks in the browser
Trains users to recognize suspicious signals
Protection model
Works regardless of whether the user recognizes the threat
Depends entirely on the user making the right call
Sophisticated attacks (AiTM, ClickFix, AI-generated)
Detects automatically at the technical level — no reliance on user pattern recognition
Requires users to spot signals that demand expert-level knowledge to identify reliably
When a user clicks
Blocks credential entry and the malicious page in real time
No intervention — the attack proceeds
Security education
In-browser warnings when real attacks are blocked — employees learn from actual threats at the moment they matter
Periodic simulations using fictional scenarios
Attack channels
Any channel that delivers phishing to the browser — email, SMS, QR codes, search ads
Email-focused simulations

Latest resources

Loading resources…