In a world where cyber-threats are evolving faster than ever—particularly thanks to advances in generative AI, deepfakes and voice/video impersonation—security awareness training must keep up. That’s why it’s timely to evaluate the cybersecurity company Adaptive Security on AI security training: does it deliver the modern, effective human-layer protection that businesses now need? In this article we’ll dive deeply into how Adaptive Security approaches AI-driven threats, examine its features, real-world usage, strengths and limitations, and help you decide whether it fits your organisation’s needs.

What is Adaptive Security and what is “AI security training”?

Who is Adaptive Security?

Adaptive Security is a cybersecurity awareness and simulation company focussed on next-generation human risk: particularly social engineering, phishing, smishing, voice and video deepfakes, and other AI-driven attacks. Their website states that legacy training “hasn’t kept up” and that companies are seeing a “17× increase in deepfake attacks in 2024.” They offer a platform that combines training modules, phishing/deepfake simulations, role-based adaptive content, and analytics.

What is meant by “AI security training”?

In this context, “AI security training” refers to training content and simulations designed specifically to prepare employees (and organisations) to recognise and respond to cyber threats that are powered by artificial intelligence or generative technologies. Examples include:

• Deepfake voice or video impersonations of executives or colleagues

• AI-generated phishing emails with surprising accuracy

• Smishing/SMS/voice social engineering that mimic typical workflows

• Multi-channel simulation (email, voice, SMS, video)

• Behavioural analytics and adaptive course paths based on risk profiles
  The platform from Adaptive Security claims to support these kinds of scenarios.

Why does evaluating Adaptive Security for AI security training matter?

The growing threat landscape

• Generative AI has made phishing and social engineering more convincing and scalable. The training provider says: organisations saw “4150% more phishing attacks” since the launch of ChatGPT.

• Human error remains a major risk factor. A training-guide on the site highlights that “95% of breaches stem from human error.”

• Traditional training programmes often focus on old-school threats (e.g., generic phishing, password hygiene) rather than evolving, AI-enabled threats. Evaluating whether a provider truly addresses this shift is critical.

For decision-makers: Why this matters

• When you invest in a training platform, you want it to be effective, relevant, and future-ready.

• You’ll want metrics: Are employees changing behaviour? Is risk reducing? Are reporting rates improving?

• You also need the product to align with your compliance, industry, budget, and culture.
  Thus, evaluating Adaptive Security on its AI security training capability helps you determine whether it meets those criteria and justifies the investment.

How Adaptive Security positions itself for AI security training

Here are some of the key claims and features from Adaptive Security:

• “Realistic deepfake simulations” that help employees spot manipulated voice/video content. Multi-channel attack simulation: email, SMS (smishing), voice (vishing), video.

• Adaptive/role-based learning: content changes based on role, risk profile, past behaviour.

• Custom content creation: The “AI Content Creator” lets you turn updates or policies into training modules quickly.

• Compliance & integrations: The platform integrates with your security stack, supports automation, dashboards, and is positioned to map to compliance frameworks.

• Modern user experience: Short-form, engaging modules, moving away from boring annual slide decks.

Real-life examples and proof points

Customer testimonies

• One case: For the NBA’s Dallas Mavericks, the platform’s deepfake simulations “were a huge wake-up call” and “fundamentally changed how our employees think about social engineering.”

• Another: On the platform’s landing page, they show a CISO saying: “We’ve actually got our employees reaching out to us about the training, and the information is sticking.”
  These kinds of statements suggest good engagement and awareness from users.

Market / Industry data

• Training provider cites research that the global AI in security market is projected to grow from $19 billion in 2023 to $122.6 billion by 2033 (CAGR ~20.5%) – indicating growing demand for AI-aware security education.

• It also mentions appropriate behavioural metrics: training shouldn’t just be “complete the module”, but “change behaviour” and reduce risk.
  These data points give context: the demand is there, so choosing a vendor that truly addresses next-gen threats is important.

Strengths of Adaptive Security for AI security training

Here are the major plus-points:

1. Focused on next-gen threats – deepfakes, AI phishing, voice & video social engineering. This is a step ahead of many legacy awareness training providers.

2. Customisation & role-based delivery – the ability to tailor content by role and risk is valuable for large or complex organisations.

3. Multi-channel simulation – training that spans email, SMS, voice, video means employees practise a variety of real-world channels rather than just email.

4. Adaptive learning – Behavioural analytics to adjust training based on performance is a best practice in adult learning and efficacy.

5. Strong vendor positioning & backing – The fact that major investors/backers support the company adds credibility (though independent reviews should still be sought).

6. Good user engagement – Testimonials show employees are more engaged; higher completion/participation is key to training success.

Limitations and considerations

No product is perfect. Here are some things to keep in mind when you evaluate Adaptive Security:

• Still evolving – Because the area of AI-driven threats is new, platforms evolve rapidly. Some features may be in development or iterating, so expect change. (The provider itself notes this)

• Coverage breadth – While focused on human-layer risk and simulations, if your organisation also needs deep technical training (for developers, incident response teams, etc.) you may need complementary solutions.

• Cost & ROI – As with all training, the value depends heavily on usage, reinforcement, and behaviour change — not simply module completion. Hence, you’ll want to assess how you measure impact for your organisation.

• Cultural & regional localisation – If your workforce spans many countries, languages, or specific regulatory environments (e.g., Pakistan, APAC), you’ll want to confirm the platform supports those languages, localised scenarios, and context.

• Integration & change management – Rolling out a new training platform with newer simulation types (deepfakes, voice) may require more internal change management, communication, and stakeholder buy-in. The best platform can’t alone guarantee behaviour change.

How to evaluate Adaptive Security for your organisation

Here’s a practical checklist you can use when assessing Adaptive Security (or comparable platforms) for AI security training:

A. Understand your current state

• What is your current phishing/social engineering failure rate?

• What channels do your employees receive threats through (email only? SMS? voice?)

• Have you seen AI-enabled threats (e.g., deepfake voice calls, AI phishing) in your industry?

• What regulatory/compliance requirements apply (GDPR, HIPAA, local laws in Pakistan/Asia)?

• What’s your budget and what stakeholders will you need to engage?

B. Match feature-set to need

Using Adaptive Security as an example, check:

• Does it simulate multi-channel attacks (email, SMS, voice, video)?

• Does it support custom content creation and role-based paths?

• Does it adapt training based on individual behaviour (risk scoring, analytics)?

• Does it provide dashboards and compliance mapping (metrics, risk-reduction)?

• Does it localise for languages/regions you operate in?

• Can it integrate with your stack (Slack/Teams nudges, identity systems, etc.)?

• What is the vendor’s track record (case studies, testimonials)?

C. Measure expected outcomes

When you implement training, define what success looks like:

• Reduction in simulated phishing click-rates over time

• Increase in phishing/suspicious items reported by employees

• Lower human-risk scores among high-risk user segments

• Improved audit/compliance readiness (evidenceable training)

• Enhanced employee awareness (survey or qualitative)

D. Implementation & rollout plan

Consider:

• How you’ll communicate the new training across the organisation

• Frequency of training (monthly micro-modules vs annual)

• How you’ll reinforce learning (simulations, micro-learning, refreshers)

• Who will own the program internally (security team? HR? Learning & Development?)

• How you’ll integrate with other security efforts (technical controls, incident response, culture)

E. Budget & vendor evaluation

• Understand pricing model (per user, per simulation, modules, customisation) — Adaptive claims “transparent & scalable” pricing.

• Ask for case-studies in your vertical or region

• Run a pilot: Test the platform with a subset of employees

• Check support, SLA, customisation level, content refresh frequency

How Adaptive Security compares in the market

When you evaluate Adaptive Security, it’s useful to see how it stacks up against other players. For example:

• The 2025 Ultimate Guide to AI Security Training Platforms lists Adaptive Security among “top AI-security awareness platforms” alongside other vendors.

• Many legacy awareness training vendors still rely mainly on email-phishing simulations and annual modules; Adaptive’s differentiator is the focus on AI/next-gen attacks.

• However, if your need is global scale, huge multilingual library, and broad generic coverage, some larger providers (with decades of market presence) might have more established content libraries.
  In essence: Adaptive Security may be more “future-focussed” and specialised for AI-powered threats, which can give it an edge if your risk profile includes those threats.

Fit for your region and organisation (including Pakistan / Asia context)

If your organisation is in Pakistan, Asia or a region where cyber-awareness training is still maturing, here are additional considerations when evaluating Adaptive Security:

• Relevance of threats: Are you seeing voice deepfakes, SMS phishing, AI-generated impersonations locally? If yes, then the advanced simulation features matter.

• Language/localisation: Confirm the platform supports local languages or can be adapted.

• Cultural context: Training scenarios should reflect local cultural/business context, otherwise they feel foreign and less engaging.

• Compliance & regulation: In Pakistan and neighbouring regions, you may have data-protection, banking regulations or audit requirements. Ensure the vendor supports your local regulatory framework or can be configured accordingly.

• Budget-sensitivity: In some markets, cost pressures are higher and you may need to justify investment against more traditional training. The transparency in pricing becomes important.

• Mobile delivery: Many employees might use mobile devices primarily; Adaptive Security notes mobile-optimised delivery.
  By checking these localised factors, you can better assess whether the platform will be a good fit rather than just globally “top ranked”.

What organisations get most benefit from Adaptive Security

Based on the above, the organisations most likely to gain strong benefit include:

• Mid-sized to large enterprises that are already mature in their security programme but see their human-layer risk as the weakest link, especially facing sophisticated social engineering and AI-driven threats.

• Organisations in industries with high risk of impersonation/voice fraud (finance, banking, insurance, healthcare).

• Companies that have global/distributed workforces and need training beyond email only.

• Organisations that want a modern training culture (engaging, role-based, frequent micro-learning) rather than the annual checkbox.
  Conversely, if you are a very small organisation, or your threats are mostly basic phishing and password hygiene, you might find a less specialised and lower-cost platform fits you better.

Summary: Does Adaptive Security deliver on AI security training?

Yes — with caveats. Here’s a summary:
Strengths:

• Adaptive Security is well-positioned as a modern platform built for the era of AI-driven threats.

• The combination of deepfake/voice/SMS simulations, adaptive learning, and role-based content is compelling.

• Good user feedback and credible case studies suggest real engagement and behaviour change.
  Considerations:

• Because the field is evolving, you’ll want to ensure the vendor delivers continual updates and remains ahead of attacks.

• You must integrate the training into a broader security awareness and culture programme — the tool alone is not a silver bullet.

• For some organisations, localisation (language/region) or budget may be key limiting factors.

If I were to evaluate the cybersecurity company Adaptive Security on AI security training, I’d conclude: They are among the leading-edge vendors in this niche, and if your organisation’s threat profile includes advanced social engineering and AI-enabled attacks, they are a very strong candidate. But as always, you should pilot, measure results, and align the training with your overall security strategy.

Conclusion

In an era where cyber-threats are increasingly powered by artificial intelligence and social engineering is evolving rapidly, choosing the right security awareness training provider is more important than ever. When you evaluate the cybersecurity company Adaptive Security on AI security training, you’ll find a platform that is modern, focused on next-gen threats, and built for engaging learning. It checks many boxes for organisations grappling with deepfakes, voice phishing, and multi-channel attacks.

But remember: a training platform is just one part of the solution. Behaviour change, cultural reinforcement, measurement, and alignment with your risk profile matter just as much. If your organisation takes a thoughtful approach (assessing need, piloting, integrating with other controls) and uses a vendor like Adaptive Security effectively, you’ll significantly enhance your human-firewall and resilience against the evolving threat landscape.

FAQs

Q1: What makes Adaptive Security different from “traditional” security awareness training?

A: The focus on AI-powered threats (deepfakes, voice/SMS impersonation), adaptive learning based on behaviour, and multi-channel simulations set it apart from many legacy programs.

Q2: Can Adaptive Security’s training really reduce risk?

A: While no training can eliminate risk entirely, the platform’s design — realistic simulations + role-based content + adaptive learning — is aligned with best practices that research shows improve human-layer resilience. Real-life customer feedback suggests better employee engagement and awareness.

Q3: Is this platform suitable for a small business?

A: It might be more suited for medium to large organisations dealing with sophisticated threat profiles. Small businesses with simpler needs may find more cost-effective solutions that cover basic phishing and awareness rather than advanced deepfake/voice simulation.

Q4: How should we measure success if we implement Adaptive Security?

A: Key metrics include phishing simulation click-rates, reporting rates of suspicious communication, human-risk score changes, completion/engagement rates of training modules, and qualitative feedback from employees.

Q5: Does the platform support multiple languages and regional adaptation (e.g., for Pakistan/Asia)?

A: The vendor states mobile-optimised delivery, multilingual support and custom content creation. However, you should verify specific language/regional availability and customise scenario contexts for local relevance.