Workforce identity verification (IDV) buyer’s guide

Identity and access management (IAM) and multi-factor authentication (MFA) have long been considered best practices for preventing account takeover attacks and securing the workforce. But as recent attacks by Scattered Spider, DPRK, and ShinyHunters have shown, these controls aren’t enough to stop sophisticated identity-based attacks.

Authentication typically verifies possession of a credential; it may not, by itself, establish that the person using it is the expected individual. IAM and MFA remain important controls, but organizations may need additional measures for identity-based attacks that target the person behind a credential.

Today, organizations need a clear view across the candidate and employee life cycle. That’s why many are adding workforce identity verification (IDV) to their security stack, helping them gain a layer of assurance against deepfakes, social engineering, and other identity-based attacks.

In this guide, we explore where these threats emerge across the employee life cycle and how workforce IDV can help mitigate them. You’ll also get a framework for evaluating vendors, identifying the capabilities that matter, and asking the right questions throughout the buying process.

What is identity verification, and how is it different from identity authentication?

Identity verification is a set of processes designed to confirm that a person is who they say they are — literally, it’s the act of verifying their identity. Originally developed for financial institutions, identity verification is now used in numerous contexts, like buying and selling items online or verifying your identity before a remote doctor’s appointment.

In the past, identity verification almost always occurred in person, but today, it’s often completed digitally. While specific methods can vary, it typically involves linking an individual to one or more pieces of identity information:

• A government-issued ID

• An issuing or authoritative database

• A selfie or other physical characteristics

• A device

Identity verification is not the same as authentication, which confirms a credential, not the person behind it.

Why is identity verification important for preventing employee impersonation and candidate fraud?

Identity verification has become important for workforce security due to how modern hiring processes and the nature of work itself have changed over the past decade. Remote interviews, virtual onboarding, and work-from-home policies mean that HR may never actually meet face to face with candidates or employees. And increasingly, employees complete at least some of their work on personal devices and networks.

Each of these shifts creates new openings for threat actors to infiltrate companies by using generative AI to impersonate legitimate candidates and employees remotely. And the data makes clear these are not theoretical risks:

• 69% of organizations experienced an identity-related breach in the last three years, with 24% of affected organizations noting costs over $10 million

• 36% of reported security incidents originated from a social engineering attack targeting an organization’s human workflows, 60% of which involved the exposure of sensitive data

• 62% of all reported security incidents involved a human element, with 39% of incidents involving credential abuse somewhere along the attack chain

As deepfakes and other AI-generated assets make it easier for threat actors to execute identity-based fraud at scale, verifying an employee’s identity both pre- and post-hiring has become a core security control.

How do threat actors carry out attacks targeting the workforce?

Threat actors use a variety of methods to attack and infiltrate companies, including social engineering that targets the help desk and deepfakes to impersonate legitimate candidates and employees. These techniques typically focus on specific moments in the employee life cycle. Here’s where your exposure is greatest.

Pre-hiring

The job application and interview stage is now rife with opportunities for candidate fraud. For example, a threat actor might use:

• Generative AI to create a fake resume that misrepresents their abilities, employment history, and credentials

• A false or stolen identity to bypass sanctions screenings and other checks (typically the case with state-sponsored IT worker schemes)

• A deepfake during video interviews to impersonate someone else or hide their location

To combat these threats, your organization should have a strategy for:

• Establishing the applicant’s identity: This should occur early in the hiring process to create a benchmark for future verification efforts. The goal is to confirm that an applicant is who they say they are by the time they meet the hiring manager.

• Reverifying the applicant’s identity before key interviews: For technical interviews or final rounds, it’s especially important to confirm that the person interviewing is the same person that originally applied.

• Reverifying the applicant’s identity before the offer: This final check helps ensure the person you’re hiring is the same person that progressed through all of your interview rounds.

It’s important to consider both the privacy implications of workforce verification and how to make the process as straightforward as possible for candidates. Practice data minimization by collecting only what’s necessary, limiting who can access it, and establishing clear retention and deletion policies.

Onboarding

Making a job offer doesn’t mean the risk is behind you. When you onboard a new employee (especially remotely), there’s a risk that the new hire may not be the candidate you interviewed.

During onboarding, it’s important to reverify your new hire before granting credentials and access to your network and systems. Depending on your organization’s risk appetite and IAM strategy, you might also start new hires with limited access and expand permissions as you gain confidence in their identity.

Account recovery and credential reset

Account recovery and credential reset are highly vulnerable security moments because most recovery workflows still rely on a human in the loop. When an employee is locked out of their account, they typically call the help desk to initiate account recovery. The help desk agent must decide, in real time, whether the person calling is the actual owner of the account — or a threat actor pretending to be an employee.

Some threat actors target help desks directly, using deepfakes and voice clones to manipulate IT agents into handing over access. Others compromise the account via phishing, SIM swapping, or session hijacking and then use the recovery process to change credentials and lock out the real employee. By reverifying employees’ identities during account recovery, you can gain greater assurance that the person requesting help is the person expected.

Privileged actions

Certain high-risk actions should be available only to employees with explicit privileges. But when threat actors compromise privileged accounts, they can use their access to cause serious damage: for example, they could harvest sensitive data, make unauthorized transactions, and even hold your systems for ransom.

To prevent this, you might decide to trigger reverification when an employee attempts to complete a privileged action. Alternatively, you might require high-privilege employees to reverify more frequently or to a higher standard.

How should security teams use context-based verification to protect the workforce?

Identity risk doesn’t end once an employee is onboarded, especially if they work remotely. That’s why workforce identity verification shouldn’t just occur at a single point in time. Instead, it should occur throughout the employee life cycle. And, importantly, it should be tailored to each individual and each situation to account for nuances in risk.

In practice, this means that context-based identity verification should be:

• Signal-driven: Context-based identity verification uses real-time risk signals such as device fingerprints, IP address reputation, auth velocity, and geolocation to tailor the process to each individual.

• Risk-adjusted: Verification methods and security controls scale to the amount of risk observed — lighter for routine events, and stricter for high-risk ones like device enrollment or help desk verification.

• Continuous: Instead of stopping at onboarding, this type of verification happens at each moment that carries meaningful risk across the employee relationship.

Imagine that you’re onboarding a new employee and need to verify their identity. To do that, you might require them to upload a photo of their government-issued ID along with a selfie to help you weed out stolen documents.

While you could stop there, with a context-based approach you might decide to collect a variety of passive signals in the background during the verification — things like VPN usage, geolocation data, and behavioral patterns — to help you better gauge the user’s risk. Then if you detect something suspicious, like a geolocation that doesn’t match their supposed location, you might trigger a step-up verification to gain greater assurance in their identity before you grant access to your systems.

While context-based verification is now a modern best practice, not every solution offers it. Many are inflexible, built around pass/fail binaries that don’t give you the insights needed to make sound verification decisions.

How to evaluate a workforce identity verification vendor: 11 questions to ask

Every company is different, and there’s no single solution or strategy that’ll work for every business all of the time. The threats your company faces and the tool you use will always be a little different from other companies. That’s why it’s important to do your research and be thoughtful about how you implement your workforce identity verification solution.

Use the 11 questions below to guide your evaluation of workforce identity verification vendors and partners.

1. Does the solution offer a workforce-specific design?

Workforce identity verification sits at the intersection of identity, fraud, and cybersecurity. While traditional KYC use cases range from preventing promotion abuse to verifying individuals during onboarding, employers face a different set of risks. Workforce verification must account for threats such as social engineering, account takeover, help desk impersonation, and unauthorized access to sensitive systems.

As you evaluate vendors, look for one that understands these workforce-specific attack vectors and can explain how its verification capabilities fit into a broader security strategy. Ask how the solution helps protect high-risk moments such as account recovery, credential resets, and privileged access, and how the vendor is evolving its product as attackers adopt more sophisticated techniques.

Mature workforce IDV vendors should be able to speak not only to fraud prevention, but also to how identity verification can strengthen an organization’s defenses against identity-based cyberattacks.

2. Does the solution offer coverage across the employee life cycle?

Avoid choosing a solution based on your most immediate need alone. Adding point solutions as your needs expand means more tools, procurement complexity, and employee friction. A platform that covers the full employee life cycle is far easier to scale.

3. Does the solution support context-based verification?

As deepfakes and other impersonation techniques become more sophisticated, organizations can’t rely on a single verification signal in isolation. The surrounding context matters too. Device characteristics, environmental signals, behavioral patterns, and the nature of the action being attempted can all help indicate whether a verification attempt is consistent with legitimate employee behavior or potentially suspicious.

Look for a solution that can incorporate this context into the verification process and adapt requirements accordingly. A routine action from a known device may warrant less friction, while an unusual device, location, behavior pattern, or high-risk action may justify stronger verification. This helps organizations add another layer of defense against sophisticated attacks while reserving the most intensive checks for the moments that actually warrant them.

4. How does the solution resist deepfake and injection attacks?

Deepfake-enabled impersonation is now a common threat to modern organizations. The best workforce identity verification solution should be able to detect AI-generated images and video. Ideally, it should stop fraudsters from injecting these assets into the verification flow to begin with.

Look for a solution that can detect when someone is using digital tools and methods that might indicate an injection attack, including things like virtual cameras, emulators, rooting tools, open broadcaster software (OBS streams), deepfake overlays, and more.

5. Does the solution include liveness detection, and how does it work?

During identity verification, liveness detection analyzes a user’s selfie at the time of capture to determine whether a real, living person is present. Liveness detection is critical for detecting physical spoofs, deepfakes, and other AI-generated assets that threat actors use to circumvent identity verification. It also helps organizations establish identity and combat candidate fraud.

Liveness detection can be either active or passive:

• Active liveness detection requires the user to take a specific action when submitting their selfie. Ideally, these actions are chosen randomly to thwart threat actors. Once submitted, the image is also analyzed for depth, lighting, and other signs of spoofing.

• Passive liveness detection asks the user to capture and submit a selfie for analysis, but without specific directions or required gestures. The image is then analyzed for micromovements, depth, and light and shadow patterns in order to distinguish between a real-life image and one that may have been AI-generated.

6. What types of ID documents are supported?

Where are your employees located? If you have a remote or distributed workforce, your employees could use dozens of different ID types, including:

• Driver’s licenses

• State ID cards

• Passports and passport cards

• National ID cards

• Digital and mobile IDs

• Residence permits

• and more

No matter where your country is located, you’ll need to be able to account for this variety of IDs. Because ID verification is a core verification method, look for a solution that supports a broad range of document types and formats, giving employees more options while maintaining an accessible verification experience. Evaluate how well the solution handles locale-specific ID variations, including size and dimensions, language and scripts, security features, and NFC support.

7. Does the solution integrate with your other tools?

If the solution you choose doesn’t integrate easily with your tech stack, you’ll eventually run into data siloes and increased manual work that weakens your ability to verify candidates and employees at scale.

Look for a platform that can integrate with the tools in your stack, like:

• IAM: Cisco Duo, Microsoft Entra ID, Okta

• HRIS/ATS: Ashby, Greenhouse, Fountain, Workday, Lever

• ITSM: Jira, ServiceNow, Zendesk

Security teams should also identify where the data needed for identity verification exists and confirm that the vendor can retrieve it for attribute comparisons. For example, a candidate’s first name and last name may be stored in an ATS, while their date of birth may be stored in an HRIS. The vendor should be able to securely access the relevant information and compare it with details from a government ID or other verification source.

Consider asking the following questions:

• Can the solution retrieve identity attributes from each system where our employee and candidate data is stored?

• Which attributes can it compare, such as name, date of birth, or address?

• How does it handle records when the required attributes are split across multiple systems?

• Can we test these data retrieval and comparison workflows in a sandbox before signing?

8. Does the solution explain how its metrics reporting works?

Most identity verification solutions discuss their pass rate, or the percentage of users that complete the verification process. Pass rates are important, but they don’t offer enough context to truly gauge how well the solution is performing. After all, a 99% pass rate could mean that your tool is working as it should be… or that your fraud detection efforts are broken.

Look for a solution that goes beyond simple pass/fail reporting and clearly defines its metrics. Because these metrics are audited, choose a vendor that’s transparent about how they’re calculated and what goes into them.

9. How does the solution handle data security and privacy?

Implementing workforce identity verification involves collecting and storing potentially sensitive employee information. If you’re subject to regulations like the California Consumer Privacy Act (CCPA) or General Data Protection Regulation (GDPR), make sure your solution meets their requirements. A strong identity verification platform should educate you about the privacy implications of implementing your solution.

These are a few of the privacy controls you may want to consider:

• Implement role-based access controls (RBAC) around who can and cannot access employee verification data

• Automatically redact sensitive PII, such as birthdates and addresses

• Audit access logs to verify who has accessed employee verification data

• House employee verification data in a separate tenant or system

• Automatically delete employee verification data once it’s no longer required

10. Does the solution meet your other compliance needs?

Do you plan to use this solution beyond workforce verification — for customer verification, for example? If so, consider what other regulations your business is subject to and how the solution can help you meet them. Ask the vendor:

• Does your platform support the verification methods these use cases require?

• Are verification events fully logged, reconstructible, and exportable?

• Can your platform support compliance audits and incident investigations?

Be sure to include your compliance team in these discussions early on.

11. Can the platform support you at scale?

As your company grows and as your needs change, your identity verification provider should be able to adapt with you. Otherwise, you may find that you’re deploying a tool today just to replace it in a year or two.

For example, if your workforce is currently concentrated in one country but you intend to hire globally, you’ll need to know what jurisdictions the platform covers and how well it covers them. That way, the tool will still be able to support you as you broaden your talent pool globally. Alternatively, if you plan to roll out identity verification to other parts of your business — for example, to customer verification — will the solution be able to support that expansion?

Common pitfalls in workforce identity verification implementation

As you build or adjust your workforce identity verification strategy, watch out for these common challenges that can derail your efforts.

• Thinking identity verification during onboarding is enough: Deploying identity verification during onboarding is critical, but it won’t be enough to protect your organization from fake candidates and social engineering attempts that occur later.

• Assuming existing tools already cover you: Background checks surface a candidate’s criminal record and motor vehicle reports, but don’t establish real-time identity binding and can’t confirm if the person in a remote interview is the same person that passed a background check. IAM/MFA solutions manage access, but don’t verify that the person behind the credential is an account’s actual owner. Workforce identity verification sits alongside these solutions to fill the gaps you might not even recognize exist.

• Underestimating how cross-functional identity verification is: Implementing identity verification isn’t just an InfoSec decision. It has the potential to influence many different teams within your organization: IT, human resources, legal, compliance, and even procurement. Bring the relevant stakeholders into the discussion early. Their buy-in will matter at implementation.

About Persona

Persona is the identity layer for workforce and consumer use cases. We help organizations such as Cisco, Twilio, Ro, and Legora verify that candidates and employees are who they claim to be, then apply the right level of assurance throughout the employee lifecycle. From hiring and onboarding to account recovery, help desk interactions, privileged actions, and offboarding, Persona offers multi-layered verification that balances assurance with the employee experience.