2025 Ultimate Guide to AI Security Training Platforms & Tools

Has your company implemented AI security training?

As cyber threats evolve faster than traditional defenses can keep pace, organizations face a new challenge: training employees to recognize and respond to attacks powered by artificial intelligence.

Phishing attacks of every type now mimic executives and colleagues with eerie accuracy, manipulate meetings in real time with deepfakes, and craft convincing social engineering scripts in seconds.

The result is a radically different threat landscape that demands a fundamentally new approach to cybersecurity awareness.

Our comprehensive guide to AI platforms and tools for security awareness training is designed to help IT and security leaders understand the market, how today’s offerings differ from legacy solutions, and how to evaluate vendors for their specific needs.

What’s the best platform for AI security training? We’ll break down the essential features, offering a roadmap toward a powerful return on investment (ROI) through smarter security awareness strategies.

Why AI is Transforming Cybersecurity Awareness

Security awareness training isn’t a checkbox anymore; it’s a dynamic layer of risk management. The reason is simple: Attackers are using AI, and they’re getting better at it every day.

Generative AI has made it trivial to clone a CEO’s voice or fabricate a convincing support ticket. As threats become more personalized, training needs to do the same. Organizations have to shift from blanket policies and annual slide decks to interactive, behavior-driven learning models that reflect today’s reality.

Did you know?

• According to Market.us, the AI in security market is projected to grow from $19 billion in 2023 to $122.6 billion by 2033, expanding at a compound annual growth rate of 20.5%.
• That explosive growth reflects an increasing demand from enterprises for smarter, more responsive tools that can keep pace with an equally fast-moving threat landscape.
• At the same time, nearly 92% of data administrators are expected to have adopted generative AI by 2025, a fact that only amplifies the need for safeguards.
• Budget allocations are responding accordingly, with 78% of data leaders reporting increased spending on AI-related security.

The shift is also being driven by global regulations, including the European Union’s AI Act, updates to the GDPR, HIPAA modernization, and sector-specific compliance requirements. Organizations must now document and demonstrate their training efforts, particularly those related to AI risk management.

It’s no longer enough to teach people how to spot typos in an email. Employees need to know how to recognize synthetic media, malicious prompts, model drift, and other emerging threats.

From Static Modules to Adaptive Learning

So why the move toward interactive AI security training?

Traditional training programs rely on uniform content that treats every employee the same. These one-size-fits-all models miss the mark entirely, offering too little support for high-risk employees or wasting time on low-risk ones.

Adaptive learning flips this model by customizing role-based training to risk profiles and individual behavior during phishing simulations.

Behavioral analytics allow training platforms to track not just clicks and completions but also real-world risk signals, including who’s opening suspicious attachments, who’s reporting phishing, and who’s falling for spear phishing attempts.

This data fuels risk scoring, which automatically adjusts the cadence, format, and difficulty of training content to ensure optimal learning outcomes. For example, an employee who fails a phishing simulation might immediately receive a refresher lesson tailored ot the attack type, while someone who excels might get a more advanced challenge the next time around.

Microlearning in this model keeps training relevant, contextual, and aligned with each user’s risk profile.

Why AI Security Training is Surging in Demand

A combination of market momentum, regulatory urgency, and adversarial innovation is pushing AI cybersecurity awareness into the spotlight.

There are three main drivers behind the current boom:

• Explosive Market Growth: As mentioned earlier, the global AI security market is expected to reach $122.6 billion by 2033, reflecting the rising investments in training and detection.
• Fragmented Global Regulations: Compliance frameworks now vary widely across regions and industries, so organizations must maintain consistent, role-specific security awareness training programs.
• New Threat Vectors: Emerging risks, such as LLM prompt injection, model inversion, and data poisoning, are too complex for static training modules and require more dynamic, scenario-based learning.

Each of the trends underscores the need for training programs that are continuous, adaptive, and grounded in real-world behavior.

Must-Have Features in AI Security Training Platforms

Organizations need more than a library of basic modules. They need interactive AI security training that combines adaptive learning techniques with real-world attack scenarios.

AI security training platforms transform static content into intelligent learning experiences that reduce risk by targeting individual behavior.

By integrating real-time feedback, behavioral analytics, and compliance automation, they provide a more effective path to security readiness.

Interactive simulations and gamification

Today’s top platforms simulate attacks across multiple channels: email, voice, video, and SMS. Employees may encounter deepfake voicemail messages or AI-generated phishing prompts crafted to mimic the language of the internal team. 

These scenarios are not only engaging but also build real-world recognition skills.

Gamification drives participation by layering in rewards and motivation. A few examples of engaging simulations include:

• A CEO deepfake call where users must identify voice anomalies.
• LLM-prompt injection scenarios in email or chatbots.
• Phishing escape room games where employees find and report suspicious clues in a simulated inbox.

Adaptive content powered by behavioral analytics

Behavioral analytics refers to the continuous tracking of user interactions, such as clicks, login behavior, phishing reports, and incident responses, to tailor lessons to each individual’s risk profile. 

This type of data is transformed into adaptive training experiences, where content difficulty, timing, and format shift based on an employee's performance.

Leading platforms align this approach with standards like ISO/IEC 42001 and the NIST AI Risk Management Framework to ensure both security and regulatory compliance. 

Employees who repeatedly miss red flags in phishing simulations, for example, receive more frequent and foundational lessons, while high performers are challenged with advanced content.

Compliance mapping and executive reporting dashboards

Security leaders are under increasing pressure to document awareness efforts and tie them to compliance benchmarks. The most effective platforms offer pre-built reporting for key frameworks such as:

• GDPR
• HIPAA
• SOC 2
• AI Act readiness

These reports are typically accessible through dashboards with export options, like CSV and API, along with role-based access controls to ensure appropriate visibility across compliance, IT, and executive teams.

Top AI Cybersecurity Awareness Platforms

When it comes to AI-driven platforms for security awareness training, there are plenty to choose from.

AI security training platform comparison

Adaptive Security

Adaptive Security is a next-generation, AI-powered security awareness training platform designed to address emerging threats, including deepfake attacks, smishing, voice spoofing, and much more.

Built with risk management at its core, the platform personalizes content delivery based on individual characteristics. It also integrates with compliance workflows to ensure training remains aligned with industry regulations and internal policies.

• Fully customizable content library, including AI Content Creator
• Risk scoring and adaptive training delivery
• Multi-channel phishing simulation scenarios
• No-code simulation deployment
• Native integrations with security stack platforms for seamless automation

HoxHunt

HoxHunt focuses on continuous simulations with gamification to keep users engaged and learning over time. Its leaderboard and adaptive challenge mechanics encourage healthy competition.

• Regular adaptive simulations
• Real-time coaching and leaderboards
• Strong results in high-compliance industries

Jericho Security

Jericho Security specializes in LLM-powered red teaming exercises, helping organizations train employees against emerging AI adversaries. Its simulations mimic prompt injection and model-manipulation threats.

• Red teaming with generative adversaries
• Focused on AI model manipulation scenarios
• Cisco-supported best practices

KnowBe4

Known for its vast content library, KnowBe4 provides traditional awareness training with a global reach and robust compliance tools. While not AI-native, its infrastructure supports massive scale.

• Over 8,000 phishing training modules
• Multi-language support and strong compliance tools
• Best for large enterprises with complex content needs

SoSafe

SoSafe combines cultural analytics with emotional intelligence training to shift organizational behavior over time. It focuses on long-term mindset change more than short-term compliance.

• Social engineering resistance training
• Culture measurement and reporting
• Good fit for HR-aligned security programs

How to Choose the Right Platform for Your Team

Choosing the right platform begins with a realistic view of your organization’s needs. Factors like employee risk profiles, team size, technical maturity, and regulatory environment all shape which features will matter most.

For example, an AI security awareness training platform that works effectively for a SaaS startup may not be suitable for a healthcare network that manages sensitive data.

Here’s how to choose the right platform.

Evaluation checklist for security and data leaders

How can leadership evaluate the quality of their cybersecurity training platform, or gauge metrics to choose a new one?

The following checklist can serve as your guide:

• Does the platform align with your threat model and industry?
• How granular is its behavioral analytics?
• Can it personalize content across different user risk levels?
• Does it support real-time threat detection simulations?
• How often is training content updated?
• What compliance reports are pre-built?
• Does it integrate with IAM, HRIS, or SIEM platforms?
• Can metrics be exported or visualized in BI tools?
• Is it adaptable to team growth and organizational change?
• Does it offer AI risk training tailored to data and development teams?

Pricing, scalability, and integration considerations

Different pricing models can impact your long-term success. 

Per-user SaaS pricing is well-suited for small to medium-sized businesses, while enterprise licenses and multi-tenant deployments are better suited for highly regulated or distributed environments. 

Evaluate whether the platform integrates easily with your existing ecosystem, including SSO, HRIS, and SIEM tools.

Proving ROI and risk reduction

IT and security leaders are increasingly asked to demonstrate ROI. A common metric is the reduction in click rates. For example, an effective ROI formula might look like:

• ‍(Phish Clicks Before – After) / Before × 100 = % Reduction

How else can you measure your risk reduction? Some trackable KPIs include:

• Training completion rate
• Phishing simulation engagement
• Risk score changes over time
• Incident volume
• Hours saved on remediation

Sample executive dashboard metrics

Implementation Roadmap & ROI Measurement

A thoughtful implementation and rollout of security awareness training substantially boosts its adoption. Start small, align stakeholders, and iterate.

Pilot program design and alignment

Define scope, baseline metrics, and timelines. Assign a project owner, executive sponsor, and cross-functional leads from IT, HR, and legal teams. Target 60–90 days for pilot evaluation.

Measuring behavior and risk shifts

 To better measure both behavioral and risk shifts, track monthly metrics such as:

• Phish-prone percentage
• Report rate
• Knowledge check scores
• Data leak incidents
• Culture index and sentiment

Use dashboard reviews to refine content and adjust focus areas.

Continuous improvement

Deploy adaptive refresher modules based on behavioral data. Schedule quarterly content updates and annual tabletop exercises to maintain engagement and coverage.

Ready to Take the Next Step?

AI is rewriting the rules of cyber threats — and training is your frontline defense. The best time to modernize your security awareness training program is before your organization becomes a headline. 

Whether you’re building from scratch or looking to upgrade, Adaptive Security is an industry-leading partner that fits your risk profile, team structure, and compliance needs.