What if your remote team member isn’t who they say they are?
In today’s remote-first world, trust is a product risk, and one that’s becoming harder to manage.
But what if some of your team members aren’t who they claim to be? That’s exactly what the DTEX DPRK cyber report uncovers.
North Korean IT operatives are actively embedding themselves into global tech teams – using fake identities to fund weapons programs.
The DTEX report reveals how these actors operate. Your team could be targeted without knowing it. These actors embed as IT professionals and slowly build trust within the teams they work with. Their psychological tactic and patience have allowed them to infiltrate the global tech workforce deeply.
🔑Here are some key takeaways Tech leaders and Project Managers shouldn’t afford to ignore
1. Remote Hiring Needs Rethinking
For the HR team, it’s time to go beyond resumes and ‘gut feeling’. Video interviews, identity verification, and behavioural monitoring need to be part of the onboarding process, especially for distributed teams.
• Verified identity checks.
• Multi-step video interviews.
• Device posture assessments.
• Continuous behavioural monitoring once they’re onboarded.
Security should start before someone is even hired.
2. AI is fuelling both sides
We’re excited about what AI can do – but so are they. Starting from generating fake resumes and headshots to automating phishing and identity spoofing, AI is making deception easier and more scalable by:
• Synthetic headshots
• Polished fake resumes
• Automated phishing flows
• Identity-spoofing at a scale we’ve never seen before
3. DTEX shares clear red flags
Watch for suspicious signals during interviews or early onboarding:
➡️ Disabled screen locks
➡️ Odd login times
➡️ Excessive screenshot tools
➡️ Hesitation during live coding or screen-sharing sessions
Remote work isn’t the risk; unverified trust is – and security isn’t just an IT concern; it’s an operational one.
About author
You might also like
Humans and AI: How to find the right balance
When companies decide to implement AI tools, the main argument is usually that AI will act as an employee assistant – helping people work faster and better. On paper, it
The Privacy Gap in AI (And How to Actually Close It)
I reviewed the report on ‘AI Privacy Risks & Mitigations – Large Language Models (LLMs)’, and I realised something simple – we already have most of the tools to manage
Last week reading (2018-02-11)
Good day SQL folks! Thanks for visiting our blog again! I have just come back after almost 2 weeks of vacations and here you are – fresh, good content for





0 Comments
No Comments Yet!
You can be first to comment this post!