Overview
AI Security & Cyber covers the specialists who secure AI systems across the entire stack — from adversarial robustness and model governance through to cloud security, data protection, and compliance. As AI systems become mission-critical, security is no longer an afterthought — it's a strategic imperative.
Roles We Place
- AI Security Engineers
- Cyber Security Engineers
- Cloud Security Engineers
- Security Architects
- AppSec Engineers
- GRC / AI Governance Specialists
- Penetration Testers
Tech Stack
OWASP, NIST AI RMF, MITRE ATLAS, AWS Security Hub, Azure Sentinel, Splunk, CrowdStrike, Snyk, Vault, Zero Trust Architecture
Typical Hiring Scenarios
Hiring a Security Architect to harden a production ML pipeline — Your ML models are processing sensitive data. You need a Security Architect who understands adversarial robustness, model poisoning attacks, data exfiltration risks, and can design a hardened pipeline that meets compliance requirements while maintaining model performance.
Building a cyber security team for a fintech processing AI-driven transactions — You're using AI for fraud detection, credit scoring, and trading. You need Cyber Security Engineers and Cloud Security Engineers who understand financial regulations (like AML/KYC), can secure APIs and cloud infrastructure, and implement end-to-end encryption for sensitive data.
Recruiting AI governance specialists to ensure responsible AI compliance for a government client — You're deploying AI in a regulated environment (healthcare, defence, public sector). You need GRC specialists and AI Governance experts who understand NIST AI RMF, bias detection, explainability requirements, and can help navigate complex compliance frameworks.