Kanary is a personal security platform that monitors the web to identify and reduce risk based on an individual's threat model. An executive has different exposure than a gamer, and our system classifies each person's risk across 55,000+ sources. We've been building since 2020, started in campaign security, data science, and government agencies, backed by Mozilla and Y Combinator. We have 200+ organizations on the platform and are fully funded by our customers.
Attackers have never had better tools. LLMs, social media, and search surface personal data in new ways. A few prompts can launch a deepfake and impersonation campaign. Risk sources appear and disappear across social platforms, telegram chats, and private data broker platforms. Kanary exists to play the cat and mouse game for people at the speed and scale of an agentic internet.
Kanary is a combination of software workflows (crawling, scraping, automation), AI (data classification, research, code generation), and people (analysts trained to support customers and escalate). This is dynamic system and requires an interest in adversarial programming.
We’re growing our team, and seeking a multifaceted engineer (2+ years experience). Our software stack is python, javascript, react, and for LLMs, we use Anthropic, OpenAI, and experiment with model fine tuning as needed. Experience with web scraping, data pipelines, or security tooling is required.
Email [email protected] with something you've built and why it was hard.
Discord published their approach to age verification in wake of UK child safety laws. The k-ID platform they worked with seems to take a logical technical approach to minimize risks of sensitive data breach and keep age verification private to the user. Temporary ID verification, no further storage of documents, verification videos are stored on device, etc.
With Discord, age verification felt urgent because it's a social platform with known grooming and CSAM problems. With something like OpenAI, it's less clear why it matters in its current state where it's mostly single-player. But it becomes way more problematic as advertisers gain more power on the platform and influence users. OpenAI doesn't want to eval every advertiser for harmful content, so instead they/and the government fall back on age as the filter and where to draw the line.
Kanary is a personal security platform that monitors the web to identify and reduce risk based on an individual's threat model. An executive has different exposure than a gamer, and our system classifies each person's risk across 55,000+ sources. We've been building since 2020, started in campaign security, data science, and government agencies, backed by Mozilla and Y Combinator. We have 200+ organizations on the platform and are fully funded by our customers.
Attackers have never had better tools. LLMs, social media, and search surface personal data in new ways. A few prompts can launch a deepfake and impersonation campaign. Risk sources appear and disappear across social platforms, telegram chats, and private data broker platforms. Kanary exists to play the cat and mouse game for people at the speed and scale of an agentic internet.
Kanary is a combination of software workflows (crawling, scraping, automation), AI (data classification, research, code generation), and people (analysts trained to support customers and escalate). This is dynamic system and requires an interest in adversarial programming.
We’re growing our team, and seeking a multifaceted engineer (2+ years experience). Our software stack is python, javascript, react, and for LLMs, we use Anthropic, OpenAI, and experiment with model fine tuning as needed. Experience with web scraping, data pipelines, or security tooling is required.
Email [email protected] with something you've built and why it was hard.
Learn more here: https://www.kanary.com/join-the-team#senior-software-enginee...