ActiveFence
ActiveFence
ActiveFence साइबर सुरक्षा और कृत्रिम बुद्धिमत्ता कंपनी है, जो ऑनलाइन प्लेटफ़ॉर्मों के लिए भरोसे और सुरक्षा पर केंद्रित है। इसका फुल-स्टैक समाधान खुफिया अनुसंधान, हानिकारक सामग्री की AI-आधारित पहचान और सामग्री मॉडरेशन उपकरणों को एक साथ जोड़ता है, ताकि प्लेटफ़ॉर्म बाल शोषण, दुष्प्रचार, घृणास्पद भाषण, आतंकवाद, नग्नता, धोखाधड़ी और ऑनलाइन नुकसान के अन्य रूपों जैसे जोखिमों से निपट सकें। ActiveFence अलग-अलग आकार की ट्रस्ट और सेफ्टी टीमों को सहयोग देती है और 100 से अधिक भाषाओं में दुनिया भर के तीन अरब से अधिक उपयोगकर्ताओं की सुरक्षा में मदद करती है।

AI Red Team – GenAI Adversarial Evaluation at ActiveFence

Develop adversarial attacks, datasets, and benchmarks for ActiveFence’s AI security platform. Test LLM robustness through red teaming and vulnerability research.

विवरण

  • Design new adversarial attacks.
  • Help build scalable systems for generating and testing attacks at scale.
  • Assess attacks for quality, effectiveness, novelty, and reproducibility.
  • Discover emerging attack patterns and model vulnerabilities.
  • Create adversarial datasets, benchmarks, and regression tests.
  • Share findings, methods, and structured attack data with Data Science, Security, and Engineering teams.
  • Contribute to stronger model robustness and defenses.

आवश्यकताएँ

  • At least three years of professional experience in cybersecurity, security research, red teaming, or a related security field.
  • Bachelor’s degree in Data Science, Computer Engineering, Computer Science, or a closely related technical field.
  • Strong knowledge of large language models, prompt injection, and AI security.
  • Experience in red teaming, security research, or adversarial testing.
  • Strong Python and automation skills.
  • Creative problem-solving skills and the ability to develop new attack techniques.
  • Ability to analyze results and communicate findings clearly.
  • Offensive cybersecurity certifications such as OSWA, OSWE, OSCE3, SEC542, or SEC522 are preferred.

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