
Natasha Alkhatib
AI & Cybersecurity Leader
Salary / Daily rate
Paris, France
Freelance, open to permanent contract
Can come onsite
Skills
Languages
Work experience
Founder
Versifai
Jan 2023 - Present
3 years 10 months
Remote
• Founded and operate a specialized consultancy delivering AI for security and security for AI solutions • Conduct and publish scientific research papers on the intersection of artificial intelligence and cybersecurity • Implement and consult on cybersecurity and AI regulations including EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001, ISO/IEC 27090, and OWASP Top 10 for LLM applications • Design and deliver technical workshops for diverse engineering teams on AI security topics, LLM vulnerabilities, and responsible prompt design • Develop proof-of-concept solutions for AI-powered intrusion detection systems, vulnerability management, and threat intelligence • Architect security solutions for AI systems addressing adversarial attacks, model poisoning, and LLM security frameworks • Lead prompt engineering initiatives for secure and effective interaction with large language models (LLMs), focusing on context-aware and adversarially robust prompt design • Develop and maintain prompt libraries and evaluation pipelines to automate compliance, red teaming, and vulnerability detection tasks • Integrate structured prompt-chaining techniques to support explainable AI workflows and auditability under EU AI Act requirements • Collaborate with engineering teams to fine-tune LLMs and optimize prompt-based retrieval-augmented generation (RAG) systems for cybersecurity knowledge bases • Conduct adversarial prompt testing and security audits of generative AI systems, assessing risks related to prompt injection, data leakage, and model hallucination
Cybersecurity Leader for embedded systems
Symbio
Oct 2024 - Present
2 years 1 month
Lyon, France
I am a Product Cybersecurity Leader at Symbio in France, specializing in securing fuel cell systems for automotive applications. With a deep focus on ISO/SAE 21434 and UNECE Regulation No. 155, I lead the development and implementation of robust cybersecurity strategies to protect connected fuel cell systems throughout their lifecycle—from design to decommissioning. My role involves conducting Threat Analysis and Risk Assessments (TARA), driving security-by-design principles, and ensuring compliance with automotive cybersecurity standards. I collaborate with cross-functional teams, including OEMs and suppliers, to foster a cybersecurity culture, mitigate risks, and safeguard vehicle safety and data integrity in the evolving landscape of clean energy mobility. Passionate about innovation and security, I’m committed to advancing Symbio’s mission of sustainable, secure automotive solutions.
Cybersecurity consultant at ETAS subsidiary of Bosch
ETAS
Apr 2023 - Jul 2024
1 year 4 months
Paris, France
- Conduct threat modeling, risk assessments, and lead penetration testing projects to identify vulnerabilities and develop mitigation strategies. - Ensure compliance with industry standards such as ISO/SAE 21434 and UNECE Regulation No. 155. - Enhance the security of automotive products throughout their lifecycle, integrating cybersecurity-by-design principles. - Collaborate with global engineering teams, OEMs, and suppliers to provide expert guidance on regulatory requirements and drive secure, innovative mobility solutions.
Institut Polytechnique de Paris
Aug 2019 - Mar 2023
3 years 8 months
Paris Area, France
Doctoral Student
Aug 2019 - Mar 2023
3 years 8 months
Paris Area, France
Phd on Automotive Cybersecurity using Artificial Intelligence
Laboratory Teaching Assistant
Nov 2021 - Dec 2022
1 year 2 months
Paris, France
Java Language Programming
Teaching Assistant
Oct 2021 - Dec 2022
1 year 3 months
Paris, France
Cryptography and Physical Layer Security
Data Scientist
DTP
Feb 2019 - Aug 2019
7 months
Dubai - United Arab Emirates
- Assist in designing and developing a flight delay prediction system for Dubai Airport, leveraging machine learning algorithms to analyze real-time and historical aviation data. - Collect, process, and integrate multiple data sources, including flight schedules, passenger flow, weather conditions, and airport operational data, to train predictive models. - Apply machine learning techniques such as random forest, decision trees, or neural networks to identify patterns and predict flight delays, improving operational efficiency and passenger experience. - Conduct data analysis and testing to evaluate model performance, focusing on accuracy, precision, and minimizing prediction errors for flight delays at Dubai International Airport. - Work with senior engineers and data scientists to ensure compliance with aviation standards and optimize resource planning, such as stand allocation and passenger flow management. - Document findings, contribute to reports, and support presentations on the impact of machine learning solutions on reducing flight delays and enhancing airport operations.
Intern
Nokia
Aug 2018 - Oct 2018
3 months
Lebanon, TN, USA
Education
Lebanese University - Faculty of Engineering 1 - Tripoli
Master of research in Big Data
2018 - 2019
2 years
Lebanese University - Faculty of Engineering 1 - Tripoli
Master in Computer and Communication engineering
2014 - 2019
6 years
Institut Polytechnique de Paris
Docteur en informatique