L3 CyberArk Engineer - Threat Modeling

Description : Urgent requirement for CyberArk L3 Engineer. Experience : 3-8 Years Job Location - Gurgaon/Bangalore/Hyderabad/Pune Job Description : - 3+ years of experience in Cybersecurity with at least 2 years focused on technical GenAI security. - Strong knowledge of cybersecurity principles, threat modeling, and risk assessment. - Expertise in GenAI security, including adversarial attack mitigation, guardrail tuning, topic / sentiment classifiers. - Familiarity with AI security frameworks (NIST AI RMF, OWASP LLM Red Teaming Guide & Top 10). - Proficiency in Python for GenAI developments and Security automatization (at least Streamlit, AutoGen & Semantic Kernel, smolagents) - Hands-on experience with AI security tools (garak, giskard, fuzzyai) as well as manual AI security testing (automation. - Ability to assess and test AI systems to identify common security weaknesses and misconfigurations, with guidance from senior practitioners. - Good communication skills to collaborate with cross functional teams and explain technical findings to non technical stakeholders. - Awareness of or participation in AI security communities or initiatives (e.g., OWASP, CSA, open forums), with willingness to contribute over time. - Proactive and curious mindset with an interest in identifying potential issues early and seeking guidance on effective remediation approaches. - Strong passion for emerging AI technologies and AI security trends, with continuous learning through research, labs, or real Description : Urgent requirement for CyberArk L3 Engineer. Experience : 3-8 Years Job Location - Gurgaon/Bangalore/Hyderabad/Pune Job Description : - 3+ years of experience in Cybersecurity with at least 2 years focused on technical GenAI security. - Strong knowledge of cybersecurity principles, threat modeling, and risk assessment. - Expertise in GenAI security, including adversarial attack mitigation, guardrail tuning, topic / sentiment classifiers. - Familiarity with AI security frameworks (NIST AI RMF, OWASP LLM Red Teaming Guide & Top 10). - Proficiency in Python for GenAI developments and Security automatization (at least Streamlit, AutoGen & Semantic Kernel, smolagents) - Hands-on experience with AI security tools (garak, giskard, fuzzyai) as well as manual AI security testing (automation. - Ability to assess and test AI systems to identify common security weaknesses and misconfigurations, with guidance from senior practitioners. - Good communication skills to collaborate with cross functional teams and explain technical findings to non technical stakeholders. - Awareness of or participation in AI security communities or initiatives (e.g., OWASP, CSA, open forums), with willingness to contribute over time. - Proactive and curious mindset with an interest in identifying potential issues early and seeking guidance on effective remediation approaches. - Strong passion for emerging AI technologies and AI security trends, with continuous learning through research, labs, or real