10 Best Phishing Simulation Tools in 2026: Features, AI Capabilities, and Multi-Channel Coverage Compared
Compare the 10 best phishing simulation tools in 2026 on features, AI capabilities, and email, voice, and deepfake coverage — with an honest look at what each does well.
For a decade, a phishing simulation meant one thing: a fake email, a tracked link, and a click-rate report. That definition is now out of date. The attacks your employees actually face have moved off the inbox and onto their phones and their video calls. Attackers place AI-generated voice calls that clone a finance director, and stitch a phishing email to a follow-up phone call so the two reinforce each other. Reported figures put the growth of voice phishing in the triple digits year over year, and security teams increasingly find that the channel their people fail on is not email at all.
Two things have changed at once. Generative AI has made a personalized lure cheap to produce at scale, to the point where studies of AI-written spear phishing show click rates on par with or above professionally crafted human attacks. And the number of channels a serious attacker can run has widened from one to three: email, voice, and deepfake audio or video. Most tools that call themselves “phishing simulation software” still only do the first one well.
This comparison looks at ten platforms through the lens that now matters for buying: what each one actually does, how its AI actually works, and which attack channels it can genuinely rehearse. It’s organized by fit rather than as a power ranking, because the “best” tool for a 40-person firm running its first campaign is not the same as the best tool for a bank defending its executives against voice-cloning fraud. Each entry names who it’s for and where its limits are.
How We Compared These Tools
Three questions separate these platforms, and they map to what a buyer is really deciding between.
Features. Beyond sending a lure, does the tool automate template selection, personalize by role, trigger training at the moment someone fails, and produce reporting you can take to a board? Does it inject simulations without a whitelisting project, or will you spend a week fighting your own mail filters first?
AI capabilities. Almost every vendor now says “AI-powered.” That phrase covers wildly different things, from generating novel attack content to nudging difficulty up and down. What the AI does determines whether it saves your team work or just appears in the marketing.
Multi-channel coverage. Can the platform run email, vishing (voice), and deepfake simulations, and are those real attack simulations or awareness lessons about those threats? This is where the field thins out fast.
A note on the “best for” labels below: they describe the situation each tool fits, not a claim that one product is objectively superior to another. Features in this category change quickly, and vendor marketing outpaces vendor documentation. Everything here reflects publicly available information as of 2026; confirm the specifics that matter to your evaluation directly with each vendor before you buy.
Three Distinctions Most Comparisons Blur
Before the list, three definitions worth getting straight. Comparisons that skip these tend to imply every platform is doing the same thing, and they aren’t.
Vishing is not one feature. “Voice phishing simulation” spans four very different implementations. A live adaptive AI call uses a conversational voice agent that responds in real time to what the employee says, handling objections and pursuing an objective like a real attacker. A managed service uses trained human callers, sometimes with interactive voice response (IVR) technology, run by the vendor on your behalf. A template-based text-to-speech call plays a scripted message with no real conversation. And plenty of tools offer none at all. These are not interchangeable. A live AI call rehearses a genuinely different skill than listening to a recorded voicemail.
Deepfakes split two ways. First, audio versus video: cloning a voice from a short recording is a different technical undertaking than generating video of a person’s face. Second, and more important, attack simulation versus awareness content. Some platforms actually run a deepfake at your employees to see how they respond. Others teach employees that deepfakes exist through a training module. Both have value, but only the first tells you whether your people would fall for a synthetic CEO on a video call.
“AI” means at least five different things here. Across this list, “AI-powered” refers to: generating novel phishing pretexts on demand; selecting and personalizing from a pre-built, human-reviewed template library; autonomous agents that run simulations or triage reported mail; ingesting real threat intelligence to auto-deploy relevant simulations; and adaptive difficulty that tunes each employee’s next test to their performance. When a vendor says AI, ask which of these they mean. The distinction between generating content and selecting from a library, for example, is the difference between infinite variety with guardrail risk and deterministic quality with library-maintenance overhead.
Keep these three distinctions in mind and the matrix below reads very differently than a typical feature checklist.
Phishing Simulation Tools at a Glance
The table summarizes where each platform sits across the three axes, a view of attack-channel coverage that’s worth having in front of you before you shortlist. In the channel columns, a full mark means a genuine self-serve simulation capability; a partial mark (△) means the capability is managed, template-only, in early access, or otherwise narrower than it first appears; and “awareness” means training content about that threat rather than an attack simulation. Verify anything load-bearing with the vendor.
| Tool | Vishing | Deepfake | AI approach | Best for | |
|---|---|---|---|---|---|
| Adaptive Security | Yes | Yes (live AI) | Yes (audio + video) | Generates novel scenarios from OSINT | AI-native multi-channel realism |
| Brightside | Yes | Yes (live AI) | Audio self-serve; video managed | Personalizes from a vetted library; live voice agent | Live AI vishing + deepfake rehearsal in one platform |
| Proofpoint | Yes | △ (intel-informed) | No | Threat-intel auto-deploy (Satori) | Existing Proofpoint email-security customers |
| Hoxhunt | Yes | △ (callback) | Awareness | Adaptive difficulty per user | Behavior change at enterprise scale |
| Cofense PhishMe | Yes | △ (managed) | No | ML template recommendations + real-threat intel | Real-threat intelligence and managed campaigns |
| IRONSCALES | Yes | No | Awareness (Teams) | Agents that auto-generate sims and triage | AI-automated simulation tied to detection |
| Microsoft Defender AST | Yes | No | No | Bundled payloads incl. QR/quishing | Microsoft 365-standardized organizations |
| SoSafe | Yes | △ (early access) | No | Behavioral-science engine + adaptive difficulty | EU enterprises prioritizing GDPR and behavioral science |
| Infosec IQ | Yes | No | No | Library selection + teachable-moment microlearning | A proven template library and compliance breadth |
| GoPhish | Yes | No | No | None | Technical teams and tight budgets |
Adaptive Security — Best for AI-Native Multi-Channel Realism
Adaptive Security is one of the few platforms built from the start for the multi-channel, AI-generated threat environment rather than retrofitted onto an email product. Backed by significant venture funding that includes the OpenAI Startup Fund, it runs email, voice, and deepfake video simulations from a single admin interface, and personalizes scenarios using open-source intelligence (OSINT) the way a real attacker builds a target profile from public data.
Its differentiator is breadth of AI-native coverage. Rather than selecting from a fixed template library, an AI content creator builds custom scenarios based on your specific business context, and the platform can run audio and video deepfake simulations to demonstrate synthetic-media impersonation in practice. It also layers in phishing triage to help understaffed teams handle reported mail, which reduces the number of separate tools a security function has to run.
Pros:
- The widest AI-native channel coverage in this comparison, including live voice and deepfake video in one console
- OSINT-driven personalization that mirrors how attackers actually research targets
- Novel scenario generation rather than recycled templates, plus triage support for the SOC
Cons:
- More to deploy and manage than a simple email-only tool; the feature surface rewards a dedicated owner
- A newer entrant, so some buyers will want reference customers at their scale
- The sophistication that makes simulations realistic also raises the “too hard to be educational” tension for less mature programs
Best for: Organizations that expect executive impersonation and multi-channel social engineering, and want the most advanced AI-generated realism available, with the internal resources to run a broad platform well.
Brightside — Best for Live AI Vishing and Deepfake Rehearsal in One Platform
Brightside is a Swiss security-awareness platform built around simulation realism across the channels attackers have actually moved to. Its clearest strength is a live AI vishing simulator: outbound phone calls in which a configurable voice agent conducts a real, adaptive conversation, driven by a caller persona, an attack goal, a chosen set of social-engineering tactics, an urgency level, and a tone you set. Admins can preview a simulation in the browser before launching it, and can clone a specific voice from a one-to-two-minute recording to rehearse executive-impersonation scenarios. Among the platforms here, live self-serve AI voice calls remain rare.
That voice capability connects to the rest of the product rather than standing apart from it. A hybrid attack fires a live call and a tracked phishing email as one coordinated workflow, which is what a serious social-engineering campaign looks like in practice. Email simulations use AI to personalize a scenario to each employee’s profile, the right lure for the right role, selecting and filling a template from a human-reviewed library rather than generating unvetted content on the fly, which keeps quality deterministic. Difficulty aligns to the NIST Phish Scale, and a cooling period prevents the same pretext from hitting the same person twice in quick succession.
On deepfakes, the two delivery models are worth stating precisely. Audio deepfakes are fully self-serve: the voice cloning described above is something an admin builds and launches from the portal. Video deepfake simulations are offered as a managed service run with the Brightside team, since synthetic video demands human review rather than an unsupervised builder. Operationally, simulations use direct inbox injection, so there’s no whitelisting project to stall the rollout, and hidden honeypot links separate automated security-scanner clicks from real human clicks so your failure rates aren’t inflated by bots. Employees sign in without a password through a magic link or one-time code, and the program is built on positive reinforcement, with achievement badges and no “wall of shame.”
Pros:
- Live, self-serve AI vishing with custom voice cloning and in-browser preview, plus hybrid voice-plus-email attacks in a single workflow
- Self-serve audio deepfakes and multilingual voice (English, French, German, Italian), with a managed option for video deepfakes
- Practical operational design: no whitelisting, bot-click filtering, passwordless sign-in, NIST Phish Scale alignment, and positive-reinforcement training
Cons:
- Positioned as a simulation specialist rather than the broadest human-risk suite, so buyers who want a large legacy content library or a deep risk-scoring stack should weigh that
- The most advanced voice and deepfake capabilities sit in higher tiers or a voice add-on, not the free entry plan
- Video deepfake simulations are a scoped managed engagement, not a self-serve feature
Best for: Teams that need to rehearse AI-era voice and deepfake attacks alongside email in one platform, and European buyers who value Swiss data posture, multilingual voice, and a fast rollout without a whitelisting project.
Proofpoint Security Awareness Training — Best for Existing Proofpoint Email Security Customers
Proofpoint’s security awareness training draws its main advantage from the company’s email-security stack. Because Proofpoint already sees the phishing campaigns hitting your organization, its Satori agent can automatically deploy simulations modeled on the real threats your inboxes are receiving, rather than generic templates. Nexus AI analytics pull from visibility across email, web, and cloud, and Adaptive Groups refine who gets which training based on observed risk signals.
The program is organized around an Assess, Change, Evaluate framework that personalizes learning paths to each user’s demonstrated weaknesses, and it can run simulations across email and USB drop scenarios. The value proposition is strongest when Proofpoint is already your email security control plane; as a standalone awareness purchase, decoupled from that threat telemetry, much of what makes it distinctive is diminished.
Pros:
- Simulations informed by the actual campaigns targeting your organization, not just template libraries
- Mature risk-based targeting through Adaptive Groups and the ACE framework
- Deep integration with a broader enterprise security ecosystem
Cons:
- Best value is effectively locked to existing Proofpoint email-security customers
- No deepfake simulation, and voice coverage is intelligence-informed rather than a live AI call product
- Enterprise-oriented, which can be heavier than a smaller team needs
Best for: Enterprises already running Proofpoint for email security that want awareness training fed by their own live threat intelligence.
Hoxhunt — Best for Behavior Change at Enterprise Scale
Hoxhunt’s design goal is sustained behavior change rather than one-off assessment. Its adaptive difficulty engine continuously tunes each employee’s next simulation to their individual performance without admin intervention, and the whole experience leans on positive reinforcement: points, streaks, and leaderboards that reward reporting rather than punishing failure. That engagement model is the product’s signature, and it’s backed by a very large benchmarking dataset drawn from tens of millions of simulations across many countries.
On channels, Hoxhunt delivers phishing across email plus collaboration tools like Slack and Teams, and includes callback-style scenarios along with awareness content covering deepfakes. Two limits matter here: Hoxhunt does not offer a live outbound AI vishing product, and its video-meeting exercise is closer to a scripted awareness scenario than a real adaptive call. The strength is engagement and measurable behavior change at scale, not the deepest multi-channel attack rehearsal.
Pros:
- Automatic per-user difficulty adaptation with minimal admin overhead
- Strong engagement and reporting culture through positive reinforcement and gamification
- Large benchmarking dataset for industry comparison
Cons:
- No live outbound AI voice simulation; deepfake coverage is awareness content rather than attack simulation
- Enterprise pricing and orientation may exceed a small team’s needs
- Gamification suits some cultures better than others
Best for: Large enterprises whose year-one programs plateaued and that want engagement-driven, continuously adapting training to move behavior across the whole workforce.
Cofense PhishMe — Best for Real-Threat Intelligence and Managed Campaigns
Cofense built its reputation on the reporting side of the equation. Its long-standing strength is a huge network of employee-reported emails feeding real-threat intelligence, paired with the Cofense Reporter button that trains people to report suspicious mail and routes what they find into analysis and remediation. Machine learning helps recommend simulation scenarios, and the platform’s center of gravity is turning real reported threats into relevant training.
For channels beyond email, Cofense leans on managed services rather than a self-serve builder. It offers a fully managed vishing service in which trained callers follow realistic scripts using a mix of IVR technology and human expertise, with AI-assisted voice available. That’s a meaningful capability, but it’s a different operating model from launching a live AI call yourself in a few clicks. If you want a partner to run campaigns and feed you real-threat-driven training, Cofense fits; if you want an in-house self-serve multi-channel console, it’s a weaker match.
Pros:
- Real-threat intelligence from one of the largest employee-reporting networks in the market
- Strong reporting, triage, and remediation workflow anchored by the Reporter button
- Fully managed vishing campaigns for teams that prefer a done-for-you model
Cons:
- Multi-channel coverage is delivered as managed services rather than a self-serve builder
- No deepfake attack simulation
- Best suited to organizations that want to lean on Cofense’s services rather than run everything themselves
Best for: Organizations that prize real-threat intelligence and employee reporting, and prefer managed vishing campaigns run on their behalf.
IRONSCALES — Best for AI-Automated Simulation Tied to Detection
IRONSCALES comes at simulation from the email-security side. Its platform pairs inbox-level detection and response with awareness capabilities, and its 2026 direction is a set of agentic AI features the company frames as answering “Phishing 3.0.” Among these is a Phishing Simulation Agent that automatically generates continuous, hyper-personalized test campaigns tailored to each user’s role, behavior, and past performance, using real-world threat data so the simulations mirror live attacks. Additional agents target red-teaming and phishing SOC work, and the platform has expanded deepfake defense within Teams.
The appeal is automation and the tight loop between simulation and detection: the same system that catches malicious mail also generates the practice attacks, with less manual campaign-building. The trade-off is channel breadth. Simulation coverage skews heavily toward email, and native vishing and deepfake attack simulations fall outside current capabilities. Because the agent lineup is new, confirm the exact scope and availability with IRONSCALES for your plan.
Pros:
- AI agents that auto-generate continuous, individualized email simulations with little manual effort
- Simulation lives alongside inbox-level detection and response, tightening the practice-to-protection loop
- Actively investing in AI-era defenses, including Teams deepfake protection
Cons:
- Simulation is email-centric; no native vishing or deepfake attack simulation
- The agent capabilities are recent, so verify scope and maturity for your environment
- Buyers wanting a standalone awareness platform may find the email-security framing a heavier fit
Best for: Teams that want AI-automated, continuously running email simulations tightly integrated with inbox-level detection and response.
Microsoft Defender Attack Simulation Training — Best for Microsoft 365-Standardized Organizations
For organizations already licensed for Microsoft Defender for Office 365 Plan 2 (including Microsoft 365 E5), Attack Simulation Training is built in at no additional cost. That bundled availability is its single biggest advantage: no new vendor, no separate contract, and native integration with the identities and reporting you already manage in Microsoft 365. It supports a range of email payloads, including QR-code phishing (quishing), where the service generates a dynamic QR code per simulation and tracks scans as click events, and it ships training modules built with Terranova Security.
This is a competent email-simulation baseline rather than a multi-channel platform. There’s no vishing or deepfake simulation, and the experience and reporting are oriented toward the Microsoft 365 admin rather than a dedicated awareness program manager. For a Microsoft-standardized shop that wants to start running phishing tests without buying anything new, it’s a sensible place to begin, with the understanding that you may outgrow it as your threat model widens beyond the inbox.
Pros:
- Included with Defender for Office 365 P2 / M365 E5, so there’s no extra spend for eligible tenants
- Native to Microsoft 365 identities, delivery, and reporting
- Covers modern email payloads including QR-code phishing
Cons:
- Email-only; no voice or deepfake simulation
- Reporting and program features are lighter than dedicated awareness platforms
- Requires the right Microsoft licensing to access
Best for: Microsoft 365-standardized organizations that want a no-extra-cost email-simulation baseline inside tooling they already own.
SoSafe — Best for EU Enterprises Prioritizing GDPR and Behavioral Science
SoSafe is a European platform that pairs behavioral-science-driven awareness training with phishing simulation, hosted in the EU with GDPR-compliant data handling and support for 30-plus languages. Its content design is its calling card: training grounded in behavioral science, an assistant it calls Sofie, an adaptive difficulty engine, and gamification aimed at engagement. For multinationals whose priorities center on EU frameworks and language breadth, that combination is genuinely useful.
On channels, SoSafe covers email and QR-code simulations, and it has introduced vishing in early access, currently more of an executive demonstration available in a few languages than a general self-serve campaign feature. There’s no deepfake video simulation. The platform is a strong fit where the buying criteria are data residency, behavioral-science content quality, and multilingual reach, and less so where the priority is the deepest live multi-channel attack rehearsal.
Pros:
- EU-hosted with GDPR-compliant handling and strong multilingual coverage
- Behavioral-science content and adaptive difficulty focused on engagement and measurable change
- Email and QR-code simulations in one platform
Cons:
- Vishing is early access rather than a mature self-serve feature; no deepfake video simulation
- Behavioral-science depth matters more here than raw multi-channel breadth
- Strongest fit is regional (EMEA) rather than universal
Best for: EU and EMEA enterprises whose top priorities are GDPR-aligned data handling, behavioral-science-based content, and broad language support.
Infosec IQ — Best for a Proven Template Library and Compliance Breadth
Infosec IQ is a mature awareness platform whose PhishSim tool is built around a large, well-maintained library: thousands of phishing templates and training resources across many languages, with new templates added on a regular cadence. Its most-cited design idea is the “teachable moment”: the instant an employee fails a test, they receive context-specific microlearning tied to that exact attack type, which is when the lesson is most likely to stick. A newer human-risk-management layer adds risk scoring drawn from signals in environments like SIEM, EDR, SOAR, and DLP.
Where it stops is multi-channel simulation. Infosec IQ does not offer vishing or deepfake simulations; its simulation strength is email, supported by depth of content and compliance-oriented training. For a buyer who wants a proven library, LMS interoperability, and broad compliance coverage layered with risk-based nudging, it’s a solid, established choice, provided you don’t need to rehearse voice or synthetic-media attacks.
Pros:
- Large, regularly updated phishing-template library with wide language coverage
- Teachable-moment microlearning delivered immediately on failure
- Established compliance-training breadth plus a newer risk-scoring layer
Cons:
- Email-only simulation; no vishing or deepfake
- Multi-channel buyers will need to look elsewhere for voice and synthetic-media rehearsal
- Emphasis is on content library and compliance rather than AI-era attack realism
Best for: Organizations that want a proven phishing-template library, LMS compatibility, and broad compliance training with immediate point-of-failure microlearning.
GoPhish — Best for Technical Teams and Tight Budgets
GoPhish is the reference point for free, open-source phishing simulation. It’s a self-hosted toolkit written in Go that installs quickly and gives you a web UI with a full HTML editor to build pixel-accurate email templates and landing pages, schedule campaigns, and track opens, clicks, and credential submissions in real time. A REST API supports automation, and it runs on Windows, macOS, and Linux. For a penetration tester or a technical security team that wants full control and zero licensing cost, it’s a capable baseline.
The trade-offs are exactly what you’d expect from a free, community-maintained tool. There’s no AI, no voice or deepfake simulation, no single sign-on, no built-in multi-language content, and no managed reporting or teachable-moment training. You host it, maintain it, and build the program around it yourself, and long-term fixes depend on community contributions. GoPhish rehearses email, and only email, but it does that at no cost and with complete control.
Pros:
- Free and open-source, with quick setup and complete control
- Solid email template and landing-page building, scheduling, and real-time tracking
- REST API for automation and integration
Cons:
- Email-only, with no AI, voice, or deepfake capability
- No SSO, managed reporting, or built-in training; you run and maintain everything
- Support and updates depend on the community, not a vendor commitment
Best for: Penetration testers, technical teams, and budget-constrained organizations comfortable self-hosting an email-only tool.
How to Choose the Right Phishing Simulation Tool
The ten tools above don’t sort into “good” and “bad” so much as into different answers to a few concrete questions. Work through these in order.
Start with the channels your attackers actually use. If your threat model is dominated by voice fraud and executive impersonation — common in financial services, legal, and any organization where a wire transfer is one phone call away — you need genuine multi-channel rehearsal, which narrows the field to the platforms with live voice and deepfake capabilities. If your incidents are overwhelmingly email-based, an email-strong platform may be all you need, and paying for channels you won’t use is waste.
Then look at how the AI actually works. Decide whether you want AI that generates novel content, AI that personalizes from a vetted library, or AI that automates campaign management and difficulty. Match that to your appetite for guardrail oversight versus library maintenance, and to how much manual campaign-building your team can absorb.
Then factor in your existing stack, budget, and compliance. A Microsoft 365 E5 tenant gets a real email baseline at no extra cost. A team already on Proofpoint email security gets threat-intel-fed simulations. An EU multinational may weigh data residency and language coverage above all else. A technical team with no budget can stand up GoPhish this afternoon.
A rough starting map: a small or mid-size team running its first program can begin with a bundled or free email tool and add channels as the program matures; an enterprise chasing durable behavior change should weigh engagement-led platforms; an organization defending against voice and deepfake fraud should shortlist the platforms that actually simulate those channels; and a Microsoft- or Proofpoint-centric shop should look first at what its existing vendor already includes. Whatever the shortlist, verify the specific capabilities that matter to you directly with each vendor, because this is a fast-moving category and the gap between a marketing page and a shipping feature is real.
Phishing Simulation Tools FAQ
What’s the difference between phishing, vishing, and deepfake simulations?
They’re the same idea across different channels. Phishing simulations test email; vishing tests voice, usually a phone call; and deepfake simulations use synthetic audio or video to impersonate a specific person, such as an executive requesting an urgent transfer. Attackers now combine these, so the closer your simulations map to the channels your people actually use, the more useful the results.
Which phishing simulation tools actually do live AI voice (vishing) calls?
Among the ten here, live adaptive AI voice calls, where a conversational agent responds in real time, are offered by Adaptive Security and Brightside. Others handle voice differently: Cofense runs a fully managed vishing service with human callers and IVR, SoSafe has vishing in early access, Hoxhunt includes callback-style scenarios, and Proofpoint informs voice awareness through threat intelligence rather than a live call product. Microsoft, Infosec IQ, IRONSCALES, and GoPhish don’t offer vishing simulation.
Is a free tool like GoPhish or the built-in Microsoft simulator good enough?
For an email-only program, either can be a legitimate starting point, and the price is hard to beat. GoPhish gives technical teams full control at no licensing cost; Microsoft’s Attack Simulation Training is included with Defender for Office 365 P2. The ceiling is the same for both: email only, with limited or no AI, no voice or deepfake, and lighter reporting and training. They’re a good place to begin and a common thing to outgrow once your threat model widens past the inbox.
What does “AI-powered” really mean across these platforms?
It varies more than the label suggests. It can mean generating novel phishing content on demand, selecting and personalizing from a human-reviewed template library, autonomous agents that build simulations or triage reported mail, ingesting real threat intelligence to auto-deploy relevant tests, or adaptive difficulty that tunes each person’s next simulation. When you evaluate a platform, ask which of these its AI actually does, because they solve different problems and carry different trade-offs.
How many channels does a small or mid-size team actually need to simulate?
Match rehearsal to exposure rather than chasing every channel. Most smaller teams should get email simulation solid first, since it’s still the highest-volume attack path. Add vishing when your people take work calls on their phones or when your organization is a plausible voice-fraud target, such as any team that can move money. A 200-person financial firm has a very different voice-fraud exposure than a 30-person design studio, and the right program reflects that difference instead of buying channels for their own sake.