Incode Workforce and Okta Team Up to Combat GenAI Fraud and Social Engineering

Incode Workforce and Okta have joined forces to protect organizations against identity-based cyberattacks throughout every stage of the employee lifecycle. This powerful partnership focuses on detecting and mitigating sophisticated social engineering tactics that exploit Generative Artificial Intelligence (GenAI), including deepfakes and advanced phishing techniques.

Incode Workforce shared the stage with Okta at the Gartner IAM Summit to unveil and discuss this exciting collaboration.

“In a world increasingly shaped by AI and remote work, organizations demand IAM solutions that anticipate and combat emerging security threats,” said Fernanda Sottil, Senior Director of Strategy and Incode Workforce Lead. “This partnership ensures enterprises leave no open vulnerabilities through an easy and reliable experience.”

As more and more organizations go fully remote and adopt cloud-based technologies, the stakes in identity verification have never been higher. According to the Flex Index’s Q4 2024 report, 68% of US firms offer work location flexibility, which can leave organizations more vulnerable to cyber attacks if effective security is not in place.

In May 2024, the Identity Defined Security Alliance (IDSA) reported that 90% of organizations experienced an identity-related incident in the last year, and 84% reported a direct business impact.

Breaches and fraud are not just IT issues — they are business risks that cost companies millions. Earlier this year, the British engineering company Arup was the victim of a deepfake fraud, which resulted in a total loss of over USD $25M. You can read about the top 5 most notable cases of deepfake fraud in 2024 in this article.

How Can an Organization Be Sure That the Person They Are Communicating With Through Digital Means is Actually Who They Say They Are?

This is where Incode Workforce’s partnership with Okta comes into effect. While most MFA methods rely heavily on something a person either has (such as a phone or a token) or knows (such as a password or answer to a security question), Incode Workforce’s additional biometric layer verifies who the person is and validates their real-world identity.

This is where Incode Workforce’s partnership with Okta comes into effect. While most MFA methods rely heavily on something a person either has (such as a phone or a token) or knows (such as a password or answer to a security question), Incode Workforce’s additional biometric layer verifies who the person is and validates their real-world identity.

Later on in this article, we will explain exactly how Incode Workforce leverages AI and machine learning (ML) to ensure secure and efficient identity verification.

Effortless Integration

Incode’s proprietary technology seamlessly integrates into Okta’s award-winning IAM system, adding a secure biometric layer while maintaining a frictionless user experience.

Our device-independent verification ensures secure access and authorization regardless of the employee’s location or which device they are using, guaranteeing ease of use and employee satisfaction.

Initial Employee Setup

By integrating Incode Workforce’s additional layer of security into Okta’s IAM system, a new hire’s identity is verified on day zero. This way, the organization can be certain that they know exactly who their employee is before their new hire starts the onboarding process and gains access to the organization’s internal system. Once Incode has verified the new employee, they will be able to set up their multi-factor authentication (MFA).

Continuous Verification at Critical Points

Incode Workforce enhances Okta’s continuous authentication workflow by verifying the employee’s identity during critical interactions. With both, businesses achieve continuous and secure access to sensitive information, high-value transactions, privileged system access, secure communications, or MFA resets.

Every employee interaction is reinforced with multi-modal passive liveness detection, deepfake protection, and seamless integration with government biometric databases across 190+ countries. Incode Workforce continuously tracks risk signals, such as changes in biometric data, devices, or behavior, and ensures potential risks are detected in real-time.

Streamlines Processes & Boosts Productivity

Incode Workforce provides remote identity verification within minutes. By automating the verification process, together Incode Workforce and Okta significantly reduce administrative overhead, allowing HR and security teams to focus on strategic initiatives rather than manual verification tasks, which ultimately reduces operational costs.

According to Forrester, self-service authentication enables employees to resolve authentication 30% faster and automating access processes reduces manual intervention by 20-25%.

Bain & Company reported that companies that invested at least 20% of their IT budget in automation in the past two years achieved an average of 22% in cost savings. For more information about how enhancing IAM security with biometric authentication can reduce help desk burden, check out this article.

How Does Incode’s Proprietary Technology Protect Against Identity Fraud?

Personhood Detection

Our Personhood Detection technology starts with a quick selfie, using multi-modal passive liveness detection and protection against injection attacks. This ensures that each individual is real and physically present, effectively guarding against synthetic identity threats and attacks.

Powered by our Fraud Lab, our Biometric Verification directly integrated with government sources provides the highest level of accuracy, filtering out synthetic and fraudulent identities before they reach your organization.

Liveness Detection

Our technology analyzes micro-expressions, lighting, and motion patterns, capturing the subtle cues that distinguish real users in front of the camera from sophisticated deepfakes.

Trained on millions of data points, it’s a sophisticated, passive security layer that’s both faster and easier than conventional methods.

Facial Recognition

With technology trained on globally inclusive data, Incode Workforce delivers near-perfect accuracy across all demographics. Whether it’s matching a selfie to an ID photo or comparing with previous captures, our technology guarantees accurate identity verification for every user.

Document Verification

Our Document Verification technology is backed by 25+ proprietary machine-learning checks such as barcode and microprint checks, designed to detect even the most subtle signs of physical and digital tampering.

360° Risk Visibility

Our extensive fraud network provides CISOs with a comprehensive view of potential threats, allowing for organization-wide protection and quicker responses to identity-based risks.

Real-time Fraud Detection Across Environments

Incode’s system continuously monitors identity signals, even beyond the workplace, leveraging billions of data points from biometric, behavioral, and network sources. Proactive security extends beyond verification, identifying threats early to prevent escalation.

Device Integrity

Our models verify device trust by issuing subtle challenges that detect tampering or injected content, ensuring only legitimate devices are used for secure verification.

If your organization is interested in integrating Incode Workforce into your IAM system, schedule a demo here.