Reality Defender provides accurate, multi-modal AI-generated media detection solutions to enable enterprises and governments to identify and prevent fraud, disinformation, and harmful deepfakes in real time. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender is the first company to pioneer multi-modal and multi-model detection of AI-generated media. Our web app and platform-agnostic API built by our research-forward team ensures that our customers can swiftly and securely mitigate fraud and cybersecurity risks in real time with a frictionless, robust solution.
Youtube: Reality Defender Wins RSA Most Innovative Startup
Why we stand out:
Our best-in-class accuracy is derived from our sole, research-backed mission and use of multiple models per modality
We can detect AI-generated fraud and disinformation in near- or real time across all modalities including audio, video, image, and text.
Our platform is designed for ease of use, featuring a versatile API that integrates seamlessly with any system, an intuitive drag-and-drop web application for quick ad hoc analysis, and platform-agnostic real-time audio detection tailored for call center deployments.
We’re privacy first, ensuring the strongest standards of compliance and keeping customer data away from the training of our detection models.
Design and manage scalable, secure AWS and cloud-agnostic infrastructure
Maintain up-to-date documentation for infrastructure, CI/CD pipelines, and disaster recovery processes
Develop and maintain robust monitoring, logging, and alerting solutions using tools like Prometheus, Grafana, NewRelic or Datadog, and ensure high visibility into system health and performance metrics
Monitor and optimize infrastructure costs
Implement and enforce security best practices and ensure compliance with industry standards such as SOC 2 or GDPR
Set up and manage Kubernetes clusters to support containerized applications at scale using modern orchestration tools
Manage our infrastructure with Terraform, partnering with feature teams to teach and share Infrastructure-as-Code (IaC) best practices
Lead incident management and disaster recovery planning, testing, and documentation. Collaborate with teams and establish department wide best practices around incident response playbooks
Provide technical guidance and mentorship to junior engineers and team members.
Be a thought leader and help foster a culture of ownership by mentoring teams on leading DevOps principles and practices around resiliency, availability, and complex systems
BS or MS in Computer Science, related technical field, or equivalent experience
Minimum of 5 years of experience in DevOps or SRE
Deep experience with AWS cloud services including
In-depth knowledge of Kubernetes, including experience with deploying, managing, scaling, and orchestrating clusters
Familiarity with our core tech stack of Docker, K8s, Terraform, Helm, ArgoCD, Grafana
Proficient in Python, Go, and/or Node.js,
Extensive experience with cloud platforms (AWS, Azure, Google Cloud) and cloud-native services.
Familiarity with automation and configuration management tools.
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