Misc
Meet the team
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Our team
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Events
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Celebrate the launch of Sentinel with a deep dive into how it revolutionizes security for individuals and businesses. The event will feature a product demo, use cases, and a Q&A session with the creators.
Regular training sessions designed to help users of all levels get the most out of Sentinel. Covering everything from basic setup to advanced features, these sessions ensure users can leverage Sentinel's full potential.
Highlight how Sentinel integrates with other tools and platforms by co-hosting events with partners. These showcases can demonstrate the enhanced value and security capabilities when using Sentinel alongside partner solutions.
Dench Security Talks Sentinel and the future of LLM Security
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Sat 10 Feb
45
Days
12
Hours
44
Mins
29
Secs
Used by the world's leading Large Language Models
Meet our clients
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FAQs
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Jared McKay
Head of Security, Nairobi Systems
Rodney McKay
LLM Scientist, Nairobi Systems
Stay ahead in AI security.
Sign Up Now and empower your AI journey with Sentinel - your partner in AI security excellence.
Our story is only the beginning
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2019
Founding of Sentinel
Founded in Silicon Valley, Sentinel merges LLM technology with cybersecurity, thanks to a team of experts in both fields. The company embodies innovation, security, and resilience.
2020
Seed Funding Round
Sentinel secured $2 million in seed funding from top investors, boosting its R&D and enhancing its cybersecurity LLM technology.
2021
Product Launch
Sentinel debuted Sentinel Shield, an AI-driven platform using LLM for real-time cyber threat management, marking a key milestone in delivering unmatched security solutions.
2022
Series A Funding Round
Sentinel raised $15 million in Series A funding from a leading tech-focused VC, enabling operational scaling, customer growth, and investment in next-gen LLM technology.
2024
Industry Recognition
Sentinel received the prestigious CyberTech Innovation Award for our contributions to advancing cybersecurity technology and protecting businesses worldwide from emerging threats.
Our story is only the beginning
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2016
Sentinel founded, leveraging cutting-edge LLM technology to pioneer a new era of AI-powered security.
2017
Sentinel's innovative threat detection model earns industry recognition, rapidly expanding its client base.
2018
Sentinel's innovative threat detection model earns industry recognition, rapidly expanding its client base.
Job Openings
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LLM Security Architect
Responsibilities:
- Threat Analysis: Conduct thorough research and analysis of emerging threats to LLMs, staying abreast of the latest attack vectors and vulnerabilities.
- Security Architecture: Design and implement robust security architectures for LLMs, incorporating best practices in authentication, authorization, and encryption.
- Adversarial Defense: Develop and deploy advanced defense mechanisms to detect and mitigate adversarial attacks against LLMs, ensuring their resilience against manipulation.
- Data Integrity: Establish rigorous processes to safeguard the integrity of training data and models, preventing data poisoning and unauthorized modifications.
- Vulnerability Assessment: Regularly assess LLMs for vulnerabilities, conducting penetration testing and security audits to identify and remediate weaknesses.
- Incident Response: Develop and maintain incident response plans for LLM security breaches, ensuring swift and effective action in the event of an attack.
- Collaboration: Collaborate closely with AI researchers, engineers, and other stakeholders to integrate security measures seamlessly into LLM development and deployment processes.
Qualifications:
- Education: Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Cybersecurity, or a related field.
- Experience: 3+ years of hands-on experience in AI security or cybersecurity, with a demonstrated understanding of LLM architectures and vulnerabilities.
- Skills: Strong programming skills (Python, C++, etc.), expertise in machine learning frameworks (TensorFlow, PyTorch), knowledge of security protocols and cryptography.
- Passion: A genuine passion for AI and cybersecurity, with a strong desire to protect and defend cutting-edge technologies.pen_spark
Competitive Salary
We offer a competitive salary and comprehensive benefits package, including health insurance, 401(k), and paid time off.
Growth Opportunities
We provide ample opportunities for professional growth and development, including training, conferences, and mentorship programs.
Impact
You will have a direct impact on the security of our groundbreaking AI technologies, contributing to a safer and more secure future.pen_spark
LLM Security Engineer
Responsibilities:
- Threat Analysis: Conduct thorough research and analysis of emerging threats to LLMs, staying abreast of the latest attack vectors and vulnerabilities.
- Security Architecture: Design and implement robust security architectures for LLMs, incorporating best practices in authentication, authorization, and encryption.
- Adversarial Defense: Develop and deploy advanced defense mechanisms to detect and mitigate adversarial attacks against LLMs, ensuring their resilience against manipulation.
- Data Integrity: Establish rigorous processes to safeguard the integrity of training data and models, preventing data poisoning and unauthorized modifications.
- Vulnerability Assessment: Regularly assess LLMs for vulnerabilities, conducting penetration testing and security audits to identify and remediate weaknesses.
- Incident Response: Develop and maintain incident response plans for LLM security breaches, ensuring swift and effective action in the event of an attack.
- Collaboration: Collaborate closely with AI researchers, engineers, and other stakeholders to integrate security measures seamlessly into LLM development and deployment processes.
Qualifications:
- Education: Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Cybersecurity, or a related field.
- Experience: 3+ years of hands-on experience in AI security or cybersecurity, with a demonstrated understanding of LLM architectures and vulnerabilities.
- Skills: Strong programming skills (Python, C++, etc.), expertise in machine learning frameworks (TensorFlow, PyTorch), knowledge of security protocols and cryptography.
- Passion: A genuine passion for AI and cybersecurity, with a strong desire to protect and defend cutting-edge technologies.pen_spark
Competitive Salary
We offer a competitive salary and comprehensive benefits package, including health insurance, 401(k), and paid time off.
Growth Opportunities
We provide ample opportunities for professional growth and development, including training, conferences, and mentorship programs.
Impact
You will have a direct impact on the security of our groundbreaking AI technologies, contributing to a safer and more secure future.pen_spark
LLM Red Team Engineer
Responsibilities:
- Threat Analysis: Conduct thorough research and analysis of emerging threats to LLMs, staying abreast of the latest attack vectors and vulnerabilities.
- Security Architecture: Design and implement robust security architectures for LLMs, incorporating best practices in authentication, authorization, and encryption.
- Adversarial Defense: Develop and deploy advanced defense mechanisms to detect and mitigate adversarial attacks against LLMs, ensuring their resilience against manipulation.
- Data Integrity: Establish rigorous processes to safeguard the integrity of training data and models, preventing data poisoning and unauthorized modifications.
- Vulnerability Assessment: Regularly assess LLMs for vulnerabilities, conducting penetration testing and security audits to identify and remediate weaknesses.
- Incident Response: Develop and maintain incident response plans for LLM security breaches, ensuring swift and effective action in the event of an attack.
- Collaboration: Collaborate closely with AI researchers, engineers, and other stakeholders to integrate security measures seamlessly into LLM development and deployment processes.
Qualifications:
- Education: Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Cybersecurity, or a related field.
- Experience: 3+ years of hands-on experience in AI security or cybersecurity, with a demonstrated understanding of LLM architectures and vulnerabilities.
- Skills: Strong programming skills (Python, C++, etc.), expertise in machine learning frameworks (TensorFlow, PyTorch), knowledge of security protocols and cryptography.
- Passion: A genuine passion for AI and cybersecurity, with a strong desire to protect and defend cutting-edge technologies.pen_spark
Competitive Salary
We offer a competitive salary and comprehensive benefits package, including health insurance, 401(k), and paid time off.
Growth Opportunities
We provide ample opportunities for professional growth and development, including training, conferences, and mentorship programs.
Impact
You will have a direct impact on the security of our groundbreaking AI technologies, contributing to a safer and more secure future.pen_spark