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Covers IT, network and security foundations, including hardening, incident handling, and core security concepts, then advances into Security+ aligned areas such as security operations, IAM, GRC, cryptography, and incident response. Adds an AI Security specialization to secure AI systems through threat modeling, AI attack types, defensive controls, AI governance and responsible AI. 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Combine classical cybersecurity with AI specialization—CompTIA Security+ plus CompTIA SecAI+ in a single program.  \n12 Months  \nFull-Time  \n100%  \nRemote  \n€0  \nTuition  \nFully funded through the Bildungsgutsche in (German Employment Agency / Jobcenter) .  \nMSIT—Master School Institute of Technology · [joinmsit.de](joinmsit.de) · Münzstr. 12, 10178 Berlin  \nAt a Glance  \n\n| Program | AI Cyber Security |\n| --- | --- |\n| School | School of Cyber Security |\n| Duration | 12 Months ( Full-Time) |\n| Prerequisite | No prior experience required |\n| Format | 100% Remote · Daily Live Sessions + Self-Paced Study |\n| Language | English |\n| Industry Certifications | CompTIA A+ · CompTIA Security+ (SY0-701) · CompTIA SecAI+(CY0-001) |\n| Funding | Bildungsgutsche in (German Employment Agency) |\n| Accreditation | AZAV-certified |\n\nWhat You'll Learn  \nIT, Network & Security Foundation  \nThe same solid foundation as the Cyber Security program: CompTIA A+ and network / security fundamentals—the base for everything that follows.  \n• Hardware & Operating Systems: PC components, Windows, Linux, macOS—CompTIA A+ foundation  \n• Network Fundamentals: TCP/IP, OSI model, routing, switching, Wireshark basics  \n• Basic Security Concepts: CIA triad, defense in depth, least privilege, zero trust  \n• Hardening & Incident Handling: Securing systems, analyzing logs, basic incident response  \nClassical Cyber Security (Security+ Track)  \nThe classical cybersecurity specialization: security architecture, operations, and GRC—covered by CompTIA Security+ .  \n• Threat Landscape & Security Architecture: Threats, vulnerabilities, security by design  \n• Security Operations: Hardening, vulnerability management, SI EM, EDR/XDR  \n• Identity & Access Management: MFA, PAM, SSO, LDAP, OAuth, SAML  \n• Governance, Risk & Compliance: Policies, risk management, compliance  \n• Data Protection & Cryptography: Encryption, hashing, tokenization, key management  \n• Incident Response: Preparation, detection, containment, recovery  \nAI Security Specialization (CompTIA SecAI+)  \nThe USP of this program: learn to secure AI systems and use AI for security tasks—covered by the new CompTIA SecAI+ certification (being introduced) .  \n• AI Fundamentals for Security: Generative AI, ML, deep learning, prompt engineering, AI lifecycle  \n• AI Threat Modeling: OWASP LLM Top 10, MITRE ATLAS, MIT AI Risk Repository  \n• AI Attack Types: Prompt injection, data poisoning, jailbreaking, model theft, model inversion  \n• Securing AI Systems: Model guardrails, prompt fi rewalls, access controls, monitoring  \n• AI-assisted Security: AI tools for vulnerability analysis, anomaly detection, pentesting  \n• AI-amplified Attack Vectors: Deepfakes, social engineering 2.0, automated attacks—and defense  \n• AI Governance & Compliance: EU AI Act, NIST AIRMF, ISO AI standards, AI Center of Excellence  \n• Responsible AI: Fairness, transparency, explainability, bias management  \nHands-On Projects & Portfolio  \n• Security Controls Lab: Implement and test modern security controls hands-on  \n• Risk Analysis: Complete risk analysis with treatment plan  \n• AI Threat Model: Create a threat model for an AI system following OWASP LLM Top 10  \n• AI Attack Simulation: Simulate AI-specific attacks and implement countermeasures  \n• AI-assisted Security Project: Use AI tools for a real-world security task  \n• Capstone: AI Security: End-to-end security assessment of an A I system—threat model, controls, monitoring  \nTechnologies & Tools  \n\n| Security Tools | SI EM, EDR/XDR, fi rewalls, IDS/IPS, WAF |\n| --- | --- |\n| AI Security | Model guardrails, prompt fi rewalls, rate / token limits |\n| AI-assisted Tools | IDE / browser / CLI plugins, MCP servers, AI pentesting |\n| Frameworks | OWASP LLM Top 10, MITRE ATLAS, MIT AI Risk Repository |\n| Governance | EU AI Act, NIST AIRMF, ISO AI standards |\n| IAM | MFA, PAM, SSO, LDAP, OAuth, SAML |\n| Ope","cbCaimp6eW4xuPO8","https://ap.wps.com/l/cbCaimp6eW4xuPO8","pdf",90275,"English","# What You'll Learn\n## IT, Network & Security Foundation\n## Classical Cyber Security (Security+ Track)\n## AI Security Specialization (CompTIA SecAI+)\n## Hands-On Projects & Portfolio\n# Technologies & Tools\n# Certification\n# Career Opportunities\n## Roles After Graduation\n## Industries\n## Where Our Graduates Work\n# What's Included\n# Schedule","[{\"question\":\"What is the program structure and duration?\",\"answer\":\"The program runs full-time for 12 months and is 100% remote, combining daily live sessions with self-paced study.\"},{\"question\":\"Which industry certifications are included?\",\"answer\":\"Students earn CompTIA A+ and CompTIA Security+, and also prepare for CompTIA SecAI+ (CY0-001) as a new AI security specialization introduced during the program.\"},{\"question\":\"What topics are covered in the AI Security specialization?\",\"answer\":\"The curriculum covers AI fundamentals for security, AI threat modeling using resources like OWASP LLM Top 10 and MITRE ATLAS, AI attack types such as prompt injection and data poisoning, and defensive measures including model guardrails and prompt firewalls.\"}]","Cyber School - AI Cyber Security - Learn AI Security Fundamentals and Defend AI Systems | PDF"]