Security & AI Governance Specialist
EvonSys
2 - 5 years
Hyderabad
Posted: 17/12/2025
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Job Description
Key Responsibilities
Cloud, Infrastructure & Configuration Audits
- Conduct configuration and security posture audits across on-premise, hybrid, and multi-cloud environments (AWS, Azure, GCP).
- Perform technical security assessments aligned with NIST , ISO 27001:2022 , SOC 2 , and CIS Benchmarks .
- Review IaC (Terraform/Ansible/CloudFormation) and Kubernetes clusters to detect misconfigurations and enforce hardening baselines.
- Perform API security reviews aligned to OWASP API Top 10 .
AI Security, Data Protection & Responsible AI Controls (New Requirements)
As EvonSys integrates AI across products and internal processes, this role will directly support the secure and compliant operation of AI/ML systems.
AI Security & Model Risk Management
- Assess and monitor security risks in AI systems, including:
- LLM prompt-injection risks
- Retrieval augmentation vulnerabilities
- Model drift and adversarial manipulation
- API and model-access abuse
- Review and validate third-party AI model usage (OpenAI, Azure OpenAI, Anthropic, HuggingFace), including:
- Log handling
- Data residency
- HIPAA/GDPR alignment
- Vendor security posture
AI Data & Privacy Controls
- Ensure training/inference data used by AI systems adhere to:
- Data minimization
- Masking/tokenization standards
- Retention & deletion controls
- Support DPIAs / AI Impact Assessments , ensuring AI agents and models meet regulatory expectations (GDPR, DPDP 2023, SL-PDPA).
AI Governance & Compliance Alignment
- Work with the AI CoE to ensure all AI systems follow:
- ISO/IEC 42001 AI Management System guidelines
- AI Model & Agent Register updates
- Traceability + versioning + auditability
- Participate in evaluating AI product features, model APIs, and agentic workflows for compliance before deployment.
AI Incident Response & Monitoring
- Contribute to the AI incident-response process by monitoring:
- Hallucinations
- Policy violations
- Unexpected model behaviors
- Bias or harmful outputs
- Support the definition of AI SLOs (latency, drift thresholds, failure triggers)
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