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Full-Time

Security Researcher

Confirmed live in the last 24 hours

Nightfall

Nightfall

51-200 employees

AI-driven data leak prevention for SaaS

Enterprise Software
AI & Machine Learning
Cybersecurity

Mid, Senior

Remote in USA + 1 more

More locations: Remote in Canada

Category
Cybersecurity
IT & Security
Required Skills
Python
SQL
Data Analysis
Requirements
  • Strong scripting, automation, and data analysis skills (Python and SQL preferable)
  • Hands-on threat hunting experience and experience working with massive data sets, SIEMs, and data warehouses
  • Strong understanding of tools, tactics and procedures (TTPs) of threats actors
  • Experience in Incident Analysis and Response using industry standard frameworks
  • Must be able to validate findings, perform root cause analysis, and deliver recommendations for fixes
  • Excellent reporting, analytical, and writing skills to author blog posts and whitepapers
  • Strong speaking and presentation skills to present research at live events and conferences
  • Strong understanding of web protocols and web application security
  • Experience working with various data detection and identification techniques
Responsibilities
  • Proactively hunt threats, discover data exposure and leakage, blue team, and perform exploit and vulnerability research, all to find and close holes exploited by bad actors
  • Perform event correlation analysis using data gathered from a variety of sources to detect and confirm attacks
  • Provide timely detection and alerting of possible exposure, attacks, and intrusions
  • Write blog posts and whitepapers related to advanced threat and leakage analysis
  • Write custom detectors to discover new instances of data types
  • Work on internal automation projects and build tools to aid in threat hunting activities
  • Continuously review security bulletins and related news; stay apprised of current threats and trends
  • Represent Nightfall at events and conferences

Nightfall.ai specializes in data leak prevention for SaaS and cloud environments, helping businesses protect sensitive information from data breaches and cyber threats. The company uses artificial intelligence to identify and classify data, allowing clients to safeguard details like credit card numbers and personal identification. Nightfall.ai serves a variety of clients, including large enterprises and tech companies that utilize platforms such as Slack, Google Drive, and Salesforce. What sets Nightfall.ai apart from competitors is its focus on providing API integrations, enabling developers to embed data security features directly into their applications. Clients can create custom detection rules and utilize Nightfall's AI-powered detection engine to monitor and protect their data. The company's goal is to enhance data security for businesses in an increasingly digital landscape, ensuring compliance and minimizing the risk of data leaks.

Company Stage

Series B

Total Funding

$60.3M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

2%

1 year growth

-2%

2 year growth

33%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnerships with companies like Snyk enhance Nightfall.ai's capabilities in addressing pervasive threats such as leaked secrets and credentials.
  • The launch of Nightfall for GenAI demonstrates the company's commitment to innovation and addressing the latest security challenges posed by generative AI.
  • Recognition as a leader in data security by G2 highlights Nightfall.ai's strong market position and credibility.

What critics are saying

  • The rapidly evolving cybersecurity landscape requires continuous innovation to stay ahead of emerging threats, posing a constant challenge for Nightfall.ai.
  • Dependence on AI models for data leak prevention may lead to vulnerabilities if the models are not regularly updated and tested.

What makes Nightfall unique

  • Nightfall.ai leverages AI to provide specialized data leak prevention for SaaS and cloud environments, setting it apart from traditional cybersecurity solutions.
  • Their API integration model allows developers to embed data security features directly into applications, offering a customizable and seamless approach to data protection.
  • Nightfall.ai's focus on generative AI security, as evidenced by their launch of the first complete DLP solution for GenAI, positions them as pioneers in this emerging field.