Job Description
Become a pivotal Data Security Analyst with expertise in Data Loss Prevention (DLP) tactics, enhancing the protection of sensitive information in modern cloud and enterprise environments. Work remotely on critical scenarios while collaborating with top AI research teams.
This role involves analyzing data-security cases and classifying data sensitivity across various environments. With a focus on practical compliance strategies and DLP tools, you will model real-world scenarios that help train AI systems. Your insights will drive incident detection and risk management methodologies.
Key Responsibilities:
- Analyze data security across cloud and SaaS platforms
- Classify data sensitivity and identify exposure risks
- Review and enhance detection and response strategies
- Generate and validate realistic data-security cases
Requirements
- Minimum 2 years in data security or compliance
- Familiarity with DLP tools and data classification
- Strong understanding of data risk management
- Knowledge of privacy and regulatory concepts
Transform the landscape of data protection by applying your expertise in DLP and enhancing cybersecurity measures.
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