Fortify Your AI with Security and Trusted Engineers

AI comes with new risks. Get support from professionals who know how to guard your models, data, and infrastructure.

Featured Security Experts

People with a Proven Track Record in AI Security

Dr. Anya Sharma

Berlin, Germany | 11+ Years

Experience

$240/hr

Designed end-to-end security architecture for a sensitive financial AI system, achieving top compliance ratings.

Alex Torres

San Francisco, USA | 9+ Years

Experience

$230/hr

Successfully red-teamed a major facial recognition system, identifying critical vulnerabilities to adversarial attacks.

Isha Rahman

Singapore | 8+ Years 

Experience

$215/hr

Expert in balancing complex ethical guidelines with efficient automated content filtering using advanced NLP.

Top Featured Security Projects

Fraud Risk Model for Fintech App

 

Category: AI Fraud Detection & Risk Modeling 

A Southeast Asian fintech firm hired an AI Fraud Detection Specialist to develop a fraud classification engine that cut false positives by 42% and prevented ~$1.2M in fraud annually. 

Budget: $22,000

Duration: 2.5 months

Remote (Singapore) 

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Adversarial Robustness Testing for Critical AI System 

Category: AI Red Teaming & Security Audit

A defense tech company engaged an AI Red Team Engineer to rigorously test their AI-powered decision-making system against sophisticated adversarial attacks, enhancing its resilience. 

Budget: $60,000

Duration: 5 months

Remote (Global

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Development of Enhanced AI Content Moderation Pipeline 

Category: AI Content Moderation & Safety 

A hedge fund hired an A large online community platform hired an AI Content Moderation Specialist to refine and implement an advanced AI pipeline for real-time detection and management of offensive content. 

Budget: $55,000

Duration: 6 months

Remote (USA) 

View Project Details

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You’ve Got Questions, We’ve Got Answers

AI systems don’t just follow fixed rules—they learn from data. That makes them vulnerable to attacks like data poisoning, model theft, and adversarial inputs that can fool even advanced models into making wrong predictions.
They simulate real-world attacks to expose weak points—like feeding in adversarial examples, reverse-engineering model behavior, or testing how the system reacts to data shifts. Their goal is to break the system before an attacker does.
Yes. They can set up robust defenses like adversarial training, model hardening, input validation, and threat monitoring systems—helping your AI stay reliable even in hostile environments.
They monitor deployed AI models for anomalies, retrain models to prevent drift, flag suspicious behavior, and manage patches or upgrades—all to ensure long-term security and performance.
Expertshub connects you with pre-vetted AI security experts who specialize in securing ML models, detecting adversarial risks, and ensuring compliance—all matched to your project’s specific needs.

Build Secure & Resilient AI

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