Nightfall AI Tech Stack

AI-native data loss prevention across SaaS, endpoints, and generative AI

Software Development San Francisco, CA 51–200 employees Founded 2018 Privately Held

Nightfall AI builds an agentic data loss prevention platform that combines Python, Go, Rust, and Kafka to detect and prevent data exfiltration at scale. The company is actively adopting Rust and Go while building endpoint DLP and AI detection models—a technical shift that reflects movement toward real-time, lower-latency threat detection. Sales-led hiring and concurrent focus on account expansion and new market entry suggest the product is moving past early adoption into broader enterprise deployment.

Tech Stack 31 technologies

Core StackPython Go C++ Java Rust MySQL Cassandra Kafka Hadoop Swift PostgreSQL Redis Snowflake Terraform Docker Kubernetes AWS React TypeScript Tailwind CSS Hive Storm Zookeeper Objective-C macOS IOKit C/C++ Windows LinkedIn YouTube

AdoptingRust Go Python Endpoint DLP

What Nightfall AI Is Building

◆Challenges

Detecting data exfiltration at scale
High volume auto-scaling streaming data
Automating security violations resolution
Low latency real-time microservices
Protecting sensitive data across saas apps
Preventing data exfiltration on endpoints
Expanding into new markets
Scaling arr
Data exfiltration prevention
Automatic remediation

▲Active Projects

Data exfiltration prevention apps on windows
Customer onboarding
New market entry strategy
Ai systems for security products
Endpoint dlp product development
High volume auto-scaling streaming data
East region channel recruitment strategy
Proof-of-value assessments
Expansion of current accounts
Ai platform architecture

Hiring Activity

Steady35 roles · 15 in 30d

Department

Sales

Engineering

Support

Marketing

Security

Executive

Product

Seniority

Senior

Lead

Mid

Junior

Manager

Notable leadership hires: Chief of Staff

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About Nightfall AI

Nightfall AI develops a data loss prevention platform designed for security and compliance teams at mid-market and enterprise organizations. The platform operates across three major attack surfaces: SaaS application data flows, endpoint devices (Windows and macOS), and generative AI integrations. Core capabilities include sensitive data discovery and classification, automated remediation of security violations, and behavioral coaching for end-users. The company is headquartered in San Francisco and was founded in 2018.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Founded2018

Hiring MarketsUnited States, India

Frequently Asked Questions

What tech stack does Nightfall AI use?

Nightfall AI uses Python, Go, C++, Rust, and Java for core services; Kafka for streaming; Cassandra and PostgreSQL for data storage; Kubernetes and Docker for orchestration; and React + TypeScript for frontend.

What is Nightfall AI working on?

Active projects include Windows endpoint DLP, AI systems for security products, high-volume streaming data auto-scaling, customer onboarding, new market entry, account expansion, and proof-of-value assessments.