Omar Santos is a Distinguished Engineer at Cisco focusing on artificial intelligence (AI) security, cybersecurity research, incident response, and vulnerability disclosure. He is a board member of the OASIS Open standards organization and the founder of OpenEoX. Omar's collaborative efforts extend to numerous organizations, including the Forum of Incident Response and Security Teams (FIRST) and the Industry Consortium for Advancement of Security on the Internet (ICASI). Omar is the co-chair of the FIRST PSIRT Special Interest Group (SIG). Omar is the co-founder and co-lead of the DEF CON Red Team Village and the chair of the Common Security Advisory Framework (CSAF) technical committee. Omar is the co-chair of the Coalition for Secure AI (CoSAI).
Omar is the author of over 25 books, 21 video courses, and over 50 academic research papers. Omar is a renowned expert in ethical hacking, vulnerability research, incident response, and AI security. He employs his deep understanding of these disciplines to help organizations stay ahead of emerging threats. His dedication to cybersecurity has made a significant impact on technology standards, businesses, academic institutions, government agencies, and other entities striving to improve their cybersecurity programs. Prior to Cisco, Omar served in the United States Marines focusing on the deployment, testing, and maintenance of Command, Control, Communications, Computer and Intelligence (C4I) systems.
- What is the Coalition for Secure AI (CoSAI)?
- LangGraph Cloud is Pretty Impressive
- Reinforcement Learning from Human Feedback (RLHF) and CriticGPT
- Comparing RAG, RAG Fusion, with RAPTOR: Different AI Retrieval-Augmented Implementations
- AI Agent Frameworks
- An Overview of Searchable Encryption, Homomorphic Encryption, and Multiparty Computation in AI…
- A Few Insights on Securing AI and Retrieval Augmented Generation (RAG) Implementations
- AI Vulnerability Databases: Distinguishing Between Security Vulnerabilities and Ethical Concerns
- A Quick Introduction to LangGraph: Enhancing LLM Applications with Cyclic Workflows
- Numerous Cybersecurity GPTs