Vinod A.

AI Governance / GRC You define the rules. Compliance. Risk. Policy. AI + DevSecOps Engineer You automate security inside pipelines. Cloud. CI/CD. Everything locked down by default.

Anthropic built Claude Mythos. It can: • Find zero-day vulnerabilities instantly • Break systems at scale • Build exploits autonomously Companies like: Apple Microsoft Google are in this.

This AI model is too dangerous to release. But it will create 100+ AI tech jobs. Let me introduce you to Project Glasswing.

AI Security Analyst You use AI to detect threats faster. You prioritize risk in real time. AI Security Engineer You secure AI systems themselves. You stop exploits before they scale. AI Red Team You break AI systems before attackers do. Offense becomes your defense.

Here are the 5 roles to focus on: • AI Security Analyst • AI Security Engineer • AI Red Team (Offensive Security) • AI Governance / GRC • AI + DevSecOps Engineer

Typical career path: Start → Big 4 consulting Then → Government contracting Then → Senior roles inside tech companies That’s how many professionals reach $250K+ roles.

Governance, Risk & Compliance (GRC) Companies pay $250K+. Big 4 → Government → Tech Here’s exactly how I did it.

Another huge opportunity: Government contracting. Companies hiring for this work include: Booz Allen Hamilton Leidos SAIC CACI

Target consulting firms first. Companies hire firms like: → KPMG → Deloitte → Ernst & Young → PwC

First understand what GRC actually is. Governance → How security decisions are made Risk → What could harm the company Compliance → Following regulations

Many companies hire outside experts to audit their risk. That’s where the Big 4 come in. KPMG Deloitte Ernst & Young PwC

We partnered with LabEx. 6,000+ labs across Linux, Cybersecurity, Cloud, DevOps, and Data. Comment "FREE" to get the full list of labs.

Courses Will Not You Hired. Projects & Labs Will. 30+ Labs To Start Your Tech Career. Read Below.

Technical Sales Understand the technology stack: • Linux basics – system understanding • Cloud concepts – infrastructure knowledge • Databases – how systems store data Goal: sell technical solutions effectively

IT Management Learn system operations: • Linux Administration – system management • Shell – automation scripting • Networking – troubleshooting systems Goal: manage enterprise IT infrastructure

AI / Machine Learning • Python – model development • NumPy – numerical computing • Scikit-learn – machine learning models Goal: build AI systems

Data Science • Python – core programming • Pandas – data analysis • Matplotlib – data visualization Goal: turn data into insights

Cloud Focus on infrastructure labs: • Linux – server management • Docker – container deployment • Kubernetes – container orchestration Goal: learn how systems run in the cloud

Cybersecurity Start with these labs: • Linux – learn core command line skills • Nmap – practice network scanning • Wireshark – analyze network traffic Goal: understand networks + security threats

Comment “WEBINAR” and I’ll send you the link for live training tonight.

Stop Starting With Cybersecurity. Start With This.