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Twosense

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About

Twosense is a continuous authentication and Continuous Access Evaluation (CAE) platform designed to eliminate the friction of traditional password-based logins, particularly within the healthcare sector. At its core, the system shifts the security paradigm from "point-in-time" events—where a user proves their identity only at the start of a session—to a continuous verification model. This ensures that the person behind the keyboard remains the authorized user every second the session is active. By focusing on behavior rather than static credentials, Twosense helps organizations secure shared workstations and critical applications without requiring clinicians or employees to stop their work for manual authentication. The technology operates using passive behavioral biometrics, a sophisticated approach that analyzes unique patterns in user interaction, such as keystroke timing and mouse movement. These signals are processed by machine learning models to verify identity invisibly in the background. Because it is a software-only solution, it requires no specialized hardware, cameras, or physical tokens, which often become points of failure or loss in high-velocity environments. When the system detects a mismatch between the current behavior and the authorized user's profile, it uses Continuous Access Evaluation Profile (CAEP) signals to automate remediation. This can include triggering an immediate re-authentication prompt or terminating the session to prevent unauthorized access. Twosense is primarily optimized for healthcare professionals, specifically those working in hospitals using Electronic Health Record (EHR) systems like Epic. In these settings, the need for rapid access to patient data often conflicts with strict security requirements, leading to "password fatigue" or insecure practices like shared logins. Beyond healthcare, the platform is used by enterprise organizations and government entities, including the United States Department of Defense, to modernize their Identity and Access Management (IAM) stacks. It is best suited for environments where users frequently switch between devices or where the risk of session hijacking and inherited access is high. What differentiates Twosense from traditional MFA or biometric solutions is its "invisible orchestration" and lack of hardware dependency. While other systems might require a fingerprint or facial scan, Twosense provides a completely friction-free experience that has been shown to reduce failed logins by 89% in clinical environments. It does not replace existing IAM infrastructure like Okta or Microsoft Azure AD; instead, it enhances them by providing real-time behavioral context that these platforms use to make more informed access decisions. This integration-first approach allows for a fast 90-day deployment cycle, enabling large institutions to scale passwordless security across thousands of users without disrupting existing workflows.

Pros & Cons

Reduces failed logins by up to 89% in high-velocity clinical environments.

Requires zero hardware, cameras, or physical tokens for identity verification.

Works invisibly in the background to prevent workflow disruptions.

Provides continuous security throughout a session rather than just at login.

Integrates seamlessly with major IAM providers like Okta and Microsoft.

Public pricing information is not available without a custom demo.

The solution is heavily specialized for healthcare, which may limit documentation for other niche fields.

Full automation requires integration with external IAM or CAE-compatible systems.

Use Cases

Hospital clinicians can move between shared workstations and access EHR systems like Epic without repeatedly typing passwords.

IT security administrators can prevent unauthorized 'inherited access' on shared terminals by automatically de-authenticating users when they leave.

Large healthcare systems can meet new HIPAA MFA rules without slowing down emergency room or clinical workflows.

Platform

Web

Task

identity verification

Features

• continuous authentication

• iam stack compatibility

• epic/ehr integration

• zero-hardware deployment

• session termination

• automated re-authentication

• continuous access evaluation (cae)

• passive behavioral biometrics

FAQs

What specific behaviors does Twosense track?

The platform uses passive behavioral biometrics, specifically focusing on keystroke timing and mouse movements. These signals allow the system to verify the identity of the person at the keyboard without requiring any active input from the user.

Can Twosense be deployed without purchasing new hardware?

Yes, Twosense is a software-only platform that requires a 0% hardware footprint. It does not need cameras, specialized scanners, or physical security tokens to function effectively across shared workstations.

How does the platform handle a situation where a user's behavior changes?

When the behavioral signal no longer matches the authorized user, Twosense uses CAEP signals to trigger policy-driven orchestration. This can result in an automatic request for re-authentication or the immediate termination of the active session.

Does Twosense replace existing IAM solutions like Okta?

No, it is designed to modernize and enhance existing IAM stacks rather than replace them. It integrates with providers like Okta, Microsoft, and OneLogin to provide the real-time context needed for continuous access decisions.

How long does it take to implement Twosense in a hospital setting?

The platform is designed for rapid scaling, with a 90-day deployment guide specifically for hospitals. Case studies show successful deployment for up to 17,000 users across hundreds of applications without workflow disruption.

Pricing Plans

Enterprise

Unknown Price

• Continuous Authentication

• Passive Behavioral Biometrics

• Automated Remediation

• CAEP Integration

• EHR System Support (Epic)

• IAM Platform Integrations

• Zero-Hardware Footprint

• 90-Day Deployment Support

Job Opportunities

Twosense

iOS Engineer

Secure shared workstations and eliminate clinical friction with passive behavioral biometrics for continuous, hardware-free identity verification in hospitals.

engineering remote AR full-time

Benefits:

Fully remote
Meaningful equity
Flexible PTO
Monthly project days
Online learning resources

Experience Requirements:

4+ years of iOS development experience with apps in production
Experience with native iOS apps using Objective-C and Swift
Deep knowledge of iOS architecture, background processing, and push notifications
Strong understanding of iOS security features and limitations

Other Requirements:

Excellent problem-solving skills
Attention to performance details
Experience with security products or authentication systems (OAuth/OIDC)
Experience with Core Motion, Core Location, Core Bluetooth, or HealthKit

Responsibilities:

Build secure data collection systems for sensors and user interactions
Create APIs and frameworks for authentication system integration
Optimize performance to ensure minimal battery impact
Build credential management features using iOS Wallet and NFC
Navigate iOS ecosystem challenges including permissions and App Store requirements

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Twosense

Machine Learning Engineer (Remote)

Secure shared workstations and eliminate clinical friction with passive behavioral biometrics for continuous, hardware-free identity verification in hospitals.

engineering remote AR

$70,000 - $90,000

full-time

Benefits:

Flexible working
Project Day once a month
Equity
Open vacation policy
Online learning resources

Experience Requirements:

Strong software engineering skills (SOLID principles)
Hands-on experience deploying ML models to production
Experience with ML libraries like scikit-learn, TensorFlow, or PyTorch
Basic understanding of ML fundamentals (algorithms, math/stats)

Other Requirements:

Familiarity with AWS tools and infrastructure
Experience with structured and time-series data
Previous experience with behavioral biometrics or security products
Previous experience with ONNX

Responsibilities:

Build and maintain production ML pipeline (ETL, preprocessing, feature extraction)
Develop streamlined ML workflows to support production systems
Write clean, maintainable Python code using TDD
Collaborate with founders and researchers to bring ML ideas to life
Optimize infrastructure to handle growth and scale effectively

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Twosense

Click to visit website

About

Pros & Cons

Use Cases

Platform

Task

Features

FAQs

What specific behaviors does Twosense track?

Can Twosense be deployed without purchasing new hardware?

How does the platform handle a situation where a user's behavior changes?

Does Twosense replace existing IAM solutions like Okta?

How long does it take to implement Twosense in a hospital setting?

Pricing Plans

Enterprise

Job Opportunities

Social Media

Ratings & Reviews

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