NexGuards vs Hoxhunt: Real Attack Simulation vs Gamified Security Awareness (2026)
Both NexGuards and Hoxhunt have moved beyond the basic "send a phishing email and track who clicks" model that defined the security awareness training market for years. Both have gamification. Both claim AI-powered personalization. Both have multi-vector capabilities. On paper, they look similar.
The differences show up when you look at where each platform focuses its energy and what actually happens to employees after they fall for an attack.
This comparison breaks both platforms down honestly.
What Hoxhunt Does Well
Hoxhunt built their platform around a specific insight: if security training feels like a punishment, employees will never engage with it voluntarily. Their solution is to make it a game.
The gamification is genuinely well-designed. Employees use a simple reporting button embedded in their email client. When they correctly identify and report a simulated phishing email, they earn points and climb leaderboards. The system adjusts difficulty automatically: employees who report consistently get progressively harder simulations, while people still developing the skill receive easier tests calibrated to where they are.
This adaptive difficulty model has real logic behind it. A new employee who gets hit with a sophisticated spear phishing simulation immediately is likely to fail repeatedly without understanding why, which builds frustration rather than skill. Hoxhunt's system builds the skill gradually.
Coverage across channels is solid. Hoxhunt runs simulations across email, Slack, and Microsoft Teams. SMS phishing is included, with iOS-compatible reporting. In summer 2025, Hoxhunt launched a deepfake simulation feature: employees receive a phishing email directing them to a mock video call page featuring an AI-generated deepfake of a manager or executive, with custom voice and video.
Hoxhunt's data is worth noting. Their platform has processed over 50 million simulations and 4 million user interactions. Their 2026 Phishing Trends Report (based on that dataset) is one of the most cited data sources in the industry. For organizations that want a security awareness program backed by a significant evidence base, that track record matters.
Where Hoxhunt's approach has gaps:
The gamification model works best when employees are motivated to engage over time. But gamification does not solve the personalization problem. Hoxhunt uses AI to adjust simulation difficulty, but the simulations themselves are not generated from information about the specific employee being targeted. A personalized attack that references an employee's recent LinkedIn post, their department's current project, or a holiday relevant to their location is qualitatively different from a well-crafted generic simulation, regardless of how well the difficulty is calibrated.
Hoxhunt's deepfake simulation redirects employees to a mock video call page. The experience is controlled and separate from the actual platforms employees use daily. In contrast, the most dangerous real-world deepfake attacks happen on the actual Zoom, Google Meet, or Microsoft Teams sessions employees join every day. A mock page tests recognition in a labeled simulation environment. An actual platform meeting tests whether an employee can resist an attack in their normal workflow.
Post-click training at Hoxhunt follows a standard pattern: a training module is assigned or a learning moment is triggered. The employee gets educated about what they missed. The education is generalized to the type of attack, not specific to the exact email or call they received.
What NexGuards Does Differently
NexGuards starts from a different premise: the goal is not to gradually build employee awareness through repeated exposure. The goal is to make employees experience exactly what a real, well-resourced attacker would send at them, and to make the training from failure immediate, specific, and impossible to ignore.
OSINT-driven personalization:
Before generating a phishing simulation, NexGuards scrapes the target employee's online presence: their job title, department, work history, skills, and most recent posts they published. It combines this with the employee's role in the organization, contextual events relevant to their region or industry (Ramadan, Thanksgiving, major industry conferences, company announcements), and department structure.
The resulting phishing email reads like it was written by someone who researched the employee specifically. Because NexGuards automated the same research process a real attacker would run.
This matters because Hoxhunt's 2026 Phishing Trends Report shows a 14x surge in AI-generated phishing over the holidays. Real attackers have automated personalization. Employees need to be tested against that level of targeting, not against generic templates or difficulty-adjusted simulations.
Attack channels:
NexGuards runs simulations across four channels:
- Email phishing, OSINT-personalized
- Vishing: outbound voice calls
- Smishing: SMS text message attacks
- Fake video meetings: simulated Google Meet, Zoom, and Microsoft Teams sessions with deepfake voice (executive voice cloning)
The fake meeting channel is the key distinction. NexGuards delivers simulated attacks through the actual platforms employees use for real meetings every day. An employee receives a calendar invitation that looks legitimate, joins the meeting, hears a voice that sounds like their CEO or manager, and is asked to take an action. If they comply, it is captured as a simulated compromise.
This is not a mock page. It happens inside Zoom or Teams, in the employee's normal workflow, where their guard is down.
Post-click training:
When an employee falls for a NexGuards simulation, two things happen immediately.
A microlesson opens in their browser. It shows them the exact attack they just received, annotated with every red flag: the suspicious sender domain highlighted, the mismatched link URL pointed out, the urgency language identified, the impersonation tactic named. They see precisely what they missed and why it worked.
Simultaneously, they receive an email with a link to revisit the lesson on their own time.
The difference from Hoxhunt's approach is specificity and immediacy. The lesson is not about phishing in general. It is about the exact email or call that caught them, thirty seconds after it happened. Neuroscience research on learning retention consistently shows that the strongest retention occurs at the moment of failure, when the lesson is tied directly to a recent experience. NexGuards is designed around that finding.
Gamification:
NexGuards includes a full gamification system: leaderboards, points earned for correctly identifying and reporting attacks, and badges for milestones. It is live in the product today.
Both platforms use gamification. The difference is that Hoxhunt's gamification is the product's core engagement mechanism, while NexGuards' gamification works alongside OSINT-personalized attacks and immediate contextual training.
Head-to-Head Comparison
| Feature | Hoxhunt | NexGuards |
|---|---|---|
| Gamification | Adaptive difficulty + leaderboards + points | Leaderboards + points + badges |
| Email phishing | AI-adjusted difficulty | OSINT-personalized + contextual events |
| Vishing simulation | Yes | Yes |
| Smishing simulation | Yes (iOS-compatible) | Yes |
| Slack/Teams phishing simulation | Yes | Not currently |
| Fake meeting attacks (Zoom/Meet/Teams) | No | Yes (deepfake voice, actual platforms) |
| Deepfake simulation | Mock video page with video + audio | Deepfake voice in actual meeting platforms |
| Post-click training | Generalized training module | Immediate contextual microlesson showing exact attack |
| Personalization method | AI-adjusted difficulty | OSINT: LinkedIn profile, recent posts, contextual events |
| Arabic / multilingual support | Limited | Full Arabic + English |
| On-premises deployment | No | Yes |
| Data/evidence base | 50M+ simulations, 4M+ users | Growing customer base |
The Honest Assessment
Hoxhunt is a genuinely good platform that has put serious thought into the engagement problem. Their gamification model works, their Slack and Teams simulation coverage is useful for organizations where employees primarily communicate on those channels, and their 2026 Phishing Trends data is a legitimately valuable industry resource.
The gap appears in two places.
First, personalization. Hoxhunt adjusts how hard the simulation is. NexGuards adjusts what the simulation is about. An employee who gets a phishing email referencing their recent LinkedIn post about an industry conference they attended is being tested against something qualitatively closer to a real targeted attack. That distinction matters when your threat model includes well-resourced adversaries who do actual reconnaissance.
Second, post-click training. Being shown a generalized lesson about the type of attack you fell for is useful. Being shown the exact email or meeting call you just failed, annotated in real time with every specific red flag, within thirty seconds of clicking, is a different kind of learning. That is the teachable moment that produces lasting behavior change, not a training assignment you complete later.
If your organization is starting a security awareness program from scratch, values adaptive difficulty that meets employees where they are, and communicates heavily through Slack and Teams, Hoxhunt is worth evaluating seriously. Their platform is mature and their data is credible.
If you need personalized attacks that mirror what a real targeted adversary would send, training that fires at the exact moment of failure, and simulated attacks across actual video meeting platforms rather than mock pages, NexGuards is the stronger choice.
NexGuards is a cybersecurity awareness and phishing simulation platform built for the age of AI-generated, OSINT-personalized attacks. To see a live demonstration with a phishing email generated from a real LinkedIn profile, contact the NexGuards team.
Sources used in this article:
- Hoxhunt 2026 Phishing Trends Report: 14x AI phishing surge over the holidays
- Hoxhunt Product Page: Deepfake Attack Simulation (launched summer 2025)
- Brightside AI Blog: Best Security Awareness Training Platforms for 2026
- Mandiant M-Trends 2026: vishing as second most common initial access method