AI Security Engineer Fundamentals: AI Cybersecurity Basics!!

Name: AI Security Engineer Fundamentals: AI Cybersecurity Basics!!
Rating: 4.5 (8 reviews)

Learn core concepts risks threats and governance of securing AI systems across their lifecycle no labs or configuration!

Created byMana Dowlatshahi Yeganeh

Last updated 6/2026

English

What you'll learn

AI Security Engineer
Fundamentals
AI Cybersecurity Basics!!
Learn core concepts risks threats and governance of securing AI systems across their lifecycle no labs or configuration!

Course content

2 sections • 112 lectures • 11h 5m total length

01 Introduction to AI Security Engineering10:33
Explore how AI security engineering protects AI and ML systems from adversarial attacks, data poisoning, and privacy risks across the full lifecycle, from design to deployment.
02 AI and Machine Learning System Fundamentals10:07
Explore how AI and machine learning systems learn from data to build adaptive models and deliver inferences. Assess models with accuracy, precision, and recall, then deploy them to applications.
03 AI Threat Landscape and Risk Categories10:48
Examine the AI threat landscape and risk categories, including data poisoning, adversarial attacks, prompt injection, and model theft, and learn defenses like intent-based protection and governance frameworks with continuous monitoring.
04 Data Risks and Security Challenges in AI Systems10:28
Explore data risks and security challenges in ai systems, including data poisoning, model inversion, and data leakage, with governance, privacy, and layered defenses for trustworthy ai.
05 Model Level Security Risks and Vulnerabilities in AI Systems10:59
Learn about model-level security risks in AI systems, including theft, inversion and inference attacks. Explore defense-in-depth strategies, threat modeling, red teaming, and AI governance standards like NIST AI RMF.
06 Adversarial AI Concepts and Defensive Principles10:16
Explore adversarial AI concepts and defensive principles that protect machine learning systems from evasion, data poisoning, and model extraction attacks, using adversarial training and layered defenses.
07 AI System Architecture and Attack Surfaces10:33
08 Secure AI Development Lifecycle Principles Ensuring Trustworthy AI Systems10:31
Explore secure ai development lifecycle principles that embed security by design, data integrity, identity and access management (iam), and continuous monitoring to build trustworthy, ethically governed ai systems.
09 AI Supply Chain and Dependency Risks Unseen Threats in Modern AI Systems10:25
Explore unseen threats in AI supply chains, from phantom dependencies and dependency confusion to open-source and cloud risks. Learn governance, software bill of materials, monitoring, and secure deployment.
10 Monitoring Incident Awareness and Risk Response in AI Systems10:40
Learn how continuous monitoring, incident awareness, and governance-aligned risk response protect AI systems. Explore AI threats, data lineage, and the NIST AI risk management framework for standardized detection and response.
11 AI Security Governance Ethics and Compliance Foundations10:21
Build responsible AI through governance foundations, ethics, and compliance, with guardrails, risk management, documentation, and ongoing oversight aligned to EU AI Act for trust and safety.

01 Digital Detectives Unmasking the Truth in the Digital Realm5:22
Uncover how digital detectives use forensics and ethical hacking to trace cybercrimes, preserve evidence, and shore up defenses across cloud, IoT, and cyber networks.
02 Digital Forensics Unmasking the Digital Crime Scene5:13
Develop digital forensics by collecting and analyzing evidence from computers, memory, disks, and networks to reconstruct the digital crime scene with a disciplined workflow and chain of custody.
03 Unmasking the Digital Shadows5:27
Unmask digital shadows by examining cybercrime categories, applying digital forensics to collect, preserve, and analyze electronic evidence for admissible court evidence.
04 Unmasking the Digital Ghost A Journey Through Computer Hacking Forensics5:26
Explore digital forensics as a cyber detective uncovering volatile data, non-volatile data, and cloud evidence. Understand data acquisition, chain of custody, encryption hurdles, and AI-assisted tools shaping modern investigations.
05 The Unbroken Link Chain of Custody in Digital Forensics5:38
Preserve an unbroken chain of custody for digital evidence by documenting every transfer, handling, and timestamp from seizure to court, and verify integrity with bit-for-bit copies and hashes.
06 Unmasking the Digital Trail eDiscovery in the Age of Cyber Forensics5:40
Explore how e-discovery and cyber forensics unify to turn raw electronic data into court-ready evidence, covering data gathering, forensic imaging, chain of custody, and remote, cloud, and mobile investigations.
07 Forensic Readiness Your Digital Defense Against Hackers5:30
Develop forensic readiness as a proactive digital defense with robust logging, tamper-proof evidence, and an evidence-first workflow to ensure admissible evidence and faster incident response.
08 Navigating the Digital Frontier5:29
Explore legal frameworks and compliance shaping cybersecurity, digital forensics, and privacy. Learn about the CFA, unauthorized access, NIST standards, and global cooperation in digital risk management.
09 Navigating the Digital Frontier Standards in Computer Hacking and Forensics5:40
Explore how NIST and ISO standards shape digital forensics to ensure evidence integrity, chain of custody, and courtroom admissibility across logs, artifacts, and metadata.
10 The Digital Detective5:43
Explore how digital forensics investigators act as digital detectives, collecting, preserving, and analyzing evidence from devices, cloud, and open sources to reveal breaches and support court-ready cases.
11 The Digital Forensics Process Unraveling Cyber Incidents5:35
Master digital forensics by learning the acquisition, analysis, and reporting pipeline, preserving chain of custody and legal admissibility to unravel cyber incidents.
12 Unmasking the Digital Ghost5:20
Explore digital forensics across five phases—identification, collection, preservation, analysis, and reporting—using bit-by-bit copies, chain of custody, and hashing with md5 or sha-256 to reconstruct breaches and build a defensible case.
13 The Digital Battlefield Navigating the Incident Response Lifecycle5:35
Navigate the digital battlefield with the incident response lifecycle, merging digital forensics and IR through the NIST four-phase model—preparation, detection, containment, recovery—plus post-incident learning.
14 The Digital Evidence Gauntlet5:21
Master digital evidence handling from seizure to courtroom by preserving integrity, establishing an unbroken chain of custody, and using bit-for-bit imaging, cryptographic hashes, and standards from SWGD, NIST, and Interpol.
15 Unmasking the Digital Ghost5:24
Unmask digital intruders by mastering computer hacking, digital forensics, and forensic readiness to collect, analyze, and report evidence across cloud, mobile, and IoT environments.
16 FAT File System Analysis Uncovering Digital Evidence5:35
Analyze the FAT file system to uncover digital evidence and reconstruct events. Use techniques like data carving and undelete to recover deleted data, reveal timestamps, and map cluster chains.
17 NTFS Forensics Unmasking Digital Footprints in the NTFS Labyrinth5:23
Unmask digital footprints in NTFS forensics by analyzing the master file table, $LOG, and $USNJRNL, including alternate data streams, to recover deleted data, detect timestomping, and build robust event timelines.
18 Unearthing Digital Evidence A Deep Dive into EXT File System Forensics5:26
Explore ext file systems on Linux to reveal hidden or deleted evidence using inodes, superblocks, and the journal. Leverage extents, extentrees, htrees, and flexblock groups for precise forensic analysis.
19 Unlocking HFS A Digital Forensics Deep Dive5:35
Explore the HFS Plus file system, including HFSx case-sensitive variants, and learn how volume headers, allocation, catalog, and extents overflow structures power forensic analysis with the Sleuth Kit.
20 Disk Structure Forensics Unmasking MBR and GPT5:40
Explore disk structure forensics by examining MBR and GPT, boot processes, and boot-level vulnerabilities, then apply forensic techniques to uncover evidence and protect against bootkits.
21 File Carving Unearthing Digital Evidence5:18
Recover deleted and fragmented digital evidence through file carving, mastering magic numbers, header-slash-footer and entropy techniques to reconstruct cases for forensic investigations.
22 Slack Space The Hidden Evidence in Digital Forensics5:26
Explore slack space, the unused portion of a file's allocation, including RAM slack and drive slack, that stores fragments and ghost evidence for digital forensics, using SleuthKit, Autopsy, and PowerForensics.
23 The Ghost in the Machine Recovering Deleted Files in Digital Forensics4:54
Explore how digital forensics uncover deleted files from unallocated space using metadata or file carving, while preserving evidence with a write block and forensic images.
24 Disk Imaging The Foundation of Digital Forensics5:48
Create a bit-for-bit, read-only disk image for digital forensics, preserving original evidence with write blockers and cryptographic hashes to ensure a defensible, verifiable copy.
25 Bit by Bit Acquisition The Foundation of Digital Forensics5:27
Master bit-by-bit acquisition and forensic imaging to create exact, unaltered copies of storage, including ram and deleted data, for court-ready digital evidence.
26 Live Acquisition Capturing the Moment in Digital Forensics5:16
Apply live acquisition to capture volatile data from a running system, including RAM, active processes, and network state, before it vanishes, and understand the order of volatility for real-time forensics.
27 The Race Against Time Capturing Volatile Data in Digital Forensics4:59
Capture volatile data in digital forensics to reveal memory activity, running processes, and active sessions before power down, using FTK Imager and the volatility framework with order of volatility.
28 Dead Acquisition The Unshakeable Foundation of Digital Forensics5:29
Master dead acquisition as the unshakeable foundation of digital forensics by creating a forensically sound, bit-for-bit image verified with cryptographic hashes, ensuring admissible, verifiable evidence.
29 Unlocking Digital Secrets The Power of Non Volatile Data in Forensics5:35
Discover how non-volatile data preserves digital evidence after power-off, enabling precise timelines and recovered communications by leveraging file system data, system data, and application data.
30 Hashing in Digital Forensics The Digital Fingerprint5:31
Apply hashing as a digital fingerprint to verify digital evidence integrity from collection to court. Compare MD5 and SHA-1 weaknesses with SHA-256 and SHA-512 strengths under SWGD standards.
31 The Unseen Battle Integrity Verification in Digital Forensics5:25
Explore how digital forensics verify the integrity and authenticity of digital evidence using hashing, chain of custody, and SHA-256, with embedded certificates and tamper-evident techniques.
32 Hacking the Hive Unlocking Digital Forensics with Windows Registry Analysis5:42
Explore the Windows registry as a forensic goldmine, detailing registry hives, keys, and values, and how artifacts like shim cache and shell bags reveal user activity and persistence.
33 Unmasking the Digital Ghost Event Log Analysis in Cyber Forensics5:25
34 Memory Analysis Unmasking Digital Ghosts with Volatility5:21
35 Unmasking the Digital Ghost5:23
Explore how browser artifacts reveal digital activity for DFIR and incident response, including history, cache, cookies, logins, and the role of timeline analysis in reconstructing attacks.
36 Shellbags and LNK Files Unmasking Digital Footprints in Computer Hacking5:25
Shell bags and LNK files reveal a computer's memory of user activity, persisting after deletion to map navigation, file access, and attacker behavior for precise timeline reconstruction.
37 Linux Memory Acquisition Unlocking Volatile Evidence in Digital Forensics5:18
38 Unlocking Digital Secrets A File System Forensics Investigation5:35
Uncover digital footprints through file system forensics, using MFT, dollar log file, and volume shadow copies to reconstruct timelines and detect hidden data.
39 Unmasking the Digital Ghost Linux Log Analysis in Computer Hacking Forensics5:38
Unmask the digital ghost by analyzing Linux logs for forensics, tracing brute-force SSH attacks via off.log and WTMP, reconstructing intrusion timelines, mapping persistence and escalation to MITRE ATT&CK.
40 Unlocking macOS Secrets A Digital Forensics Deep Dive5:35
Dive into macOS digital forensics and its unique artifacts. Explore cross-artifact correlation with Spotlight, unified logging, and FS events, using Mac Artifact Viewer and MacTriage.
41 Unlocking macOS Memory A Digital Forensics Deep Dive5:04
42 Uncovering Digital Truths File System Investigation in Digital Forensics5:36
43 Packet Capture and Analysis Unmasking Digital Intruders5:23
Master packet capture and analysis to unmask digital intruders, reconstruct attack timelines, and gather forensic evidence using Wireshark, TickDump, NetworkMiner, and APacket across real-time traffic.
44 Unmasking the Digital Intruder IDSIPS Log Analysis in Forensics5:35
45 Firewall Logs The Unseen Witnesses of Cybercrime5:18
Firewall logs are unseen witnesses of cybercrime, providing forensic evidence for incident response. Analyze IP addresses, ports, and timestamps; correlate with other data to reveal exfiltration and the attack story.
46 Unmasking the Digital Intruder A Network Forensics Investigation5:22
47 Unmasking the Digital Ghost5:26
Unmask the digital ghost by learning indicators of compromise and indicators of attack, including iocs, apts, forensic artifacts, network anomalies, suspicious file changes, and proactive threat hunting.
48 Unmasking the Invisible Wireless Network Forensics in the Age of Digital Crim5:21
49 SQL Injection Forensics Unmasking the Digital Intruder5:36
50 Unmasking the Invisible XSS Analysis in Digital Forensics5:28
51 Web Server Log Analysis Unmasking Digital Intruders5:38
52 Session Tracking Investigation Unmasking the Digital Intruder5:21
53 Unraveling the Digital Crime Scene Reconstructing Cyberattacks5:35
54 Unmasking the Invisible Advanced Tor Network Forensics5:16
Uncover advanced tor network forensics by tracing memory, disk artifacts, and network traces using tools like dark extract tor pcap, revealing persistent evidence across memory, disk, and registry.
55 Unmasking the Hidden A Forensic Deep Dive into Tor Services5:31
56 Unmasking the Digital Trail5:38
57 Unmasking the Digital Shadows5:16
58 Database Log Analysis Unmasking Digital Intruders5:28
59 SQL Artifacts Uncovering Digital Truths in Hacking Investigations5:31
60 Data Recovery Techniques in Digital Forensics3:37
61 Guarding the Vault5:35
Guard databanks like vaults by combining fraud detection, digital forensics, digital media forensics, AI-powered forgery detection, and collaborative intelligence to share signals across systems and implement a multi-layered, proactive defense.
62 Cloud Forensics The Digital Detectives New Frontier5:31
63 Multi Tenant Challenges in Digital Forensics5:53
64 Cloud Data Acquisition in Digital Forensics5:25
65 Unmasking the Digital Ghost Email Header Analysis in Digital Forensics5:19
66 Unmasking the Imposter Email Spoofing Detection in Digital Forensics5:40
67 Unmasking the Attacker A Mail Server Log Forensics Investigation5:24
68 Phishing Investigation Unmasking the Digital Deceivers5:31
69 Static Malware Analysis Unmasking Threats Without Execution5:28
70 Dynamic Malware Analysis Unmasking Digital Threats5:32
71 Behavioral Analysis Unmasking the Digital Attacker5:23
72 Reverse Engineering Unlocking Digital Secrets5:12
Explore reverse engineering as a software detective, using static and dynamic analysis, disassemblers and debuggers, to understand binaries, malware analysis, and digital forensics.
73 Android Data Acquisition Unlocking Digital Evidence5:35
74 iOS Data Acquisition Unlocking Digital Evidence in 20265:30
75 Unlocking the Digital Vault5:21
76 SIM Card Forensics Unlocking Digital Evidence5:05
Extract, analyze, and authenticate digital evidence from SIM cards to reveal call and text history, location data, and network identifiers for forensic investigation.
77 Mobile Artifact Investigation Unlocking Digital Secrets5:24
78 Smart Device Forensics Unmasking Digital Attackers in the IoT Era5:34
79 Unmasking the Hidden Embedded Systems Forensics5:26
80 IoT Log Collection The New Frontier in Digital Forensics5:28
Explore IoT log collection as a new frontier in digital forensics, leveraging DIST Log, IoTScent, and ISO/IEC 27043 for anticipatory, resilient investigations.
81 The Digital Detective Unlocking Evidence in the Internet of Things5:26
Unlock digital evidence from the internet of things across devices, networks, and cloud using IoTScent to fingerprint IEEE 802.15.4 traffic and map forensic timelines.
82 Volatile Memory Capture The Digital Forensics Race Against Time5:24
83 Volatility Unmasking Digital Secrets in RAM5:21
Apply Volatility memory forensics to unmask secrets in RAM, analyze live memory dumps, and detect fileless threats across Windows, Linux, macOS, and Android.
84 Digital Forensics Unraveling the Digital Crime Scene5:48
85 Rootkits The Invisible Threat in Digital Forensics5:25
86 AI in Digital Forensics The Evolving Battlefield5:35
87 The Digital Forensics Frontier5:24
88 Advanced Ransomware Analysis A Digital Forensics Deep Dive5:31
Analyze the anatomy of modern ransomware, from BYOVD exploits to advanced obfuscation, and assess cross-platform threats across Windows, Linux, and VMware environments.
89 Browser Forensics Uncovering Digital Clues in the Age of Cybercrime5:26
Trace digital footprints in browser forensics by analyzing history, searches, downloads, cookies, and caches across normal, private, and portable modes to enable BRAP forensics.
90 Social Media Forensics Unmasking Digital Clues in the Age of Hacking5:26
91 Cloud Native Forensics The Future of Digital Investigations5:41
92 Python in Digital Forensics5:31
93 EnCase The Digital Detectives Toolkit5:29
94 FTK The Investigators Edge in Digital Forensics5:36
95 Autopsy Unlocking Digital Evidence in Cyber Investigations5:31
96 Volatility Unmasking Digital Shadows in Memory Forensics5:24
97 Wireshark The Digital Detectives Toolkit for Cyber Investigations5:38
98 The Art of the Digital Forensic Report5:32
99 Unveiling the Digital Truth5:35
100 Expert Witness Testimony Navigating Computer Hacking and Digital Forensics5:27
Expert witnesses translate complex digital evidence from computers, mobile devices, and cloud data into clear courtroom testimony, enabling admissible digital forensics analysis and informed legal decisions.
101 Digital Forensics in the Courtroom5:12
Bridge digital forensics and justice by unveiling the digital truth through careful investigation of data. Enforce acquisition and chain of custody, authentication, and demonstrative evidence, meeting Daubert standards.

Requirements

This course has no technical prerequisites and does not require prior experience in programming, machine learning, or cybersecurity tools. Learners are expected to have a basic understanding of general technology concepts, such as how software systems are used in organizations and how cybersecurity risks broadly affect businesses. Familiarity with high-level concepts like data privacy, information security, or digital transformation is helpful but not required. The course is designed to be accessible to beginners, non-technical professionals, students, and decision-makers who want to understand AI security from a conceptual and strategic perspective without engaging in hands-on configuration, coding, or lab-based activities.

Description

AI Security Engineer Fundamentals: AI Cybersecurity Basics introduces learners to the foundational concepts required to understand how artificial intelligence systems are secured across their lifecycle. As AI and machine learning technologies become deeply embedded in modern enterprises, they also introduce new security risks that traditional cybersecurity approaches were not designed to address. This course explains what AI security is, how it differs from conventional security, and why it is now a critical discipline.

The course focuses on conceptual understanding rather than technical implementation. Learners explore how AI systems work at a high level, where security risks emerge, and how attackers exploit weaknesses in data, models, infrastructure, and governance. Topics include AI threat landscapes, data risks, model vulnerabilities, adversarial AI concepts, supply chain risks, and AI-specific attack surfaces—without requiring coding, configuration, or hands-on labs.

The importance of AI security continues to grow as organizations deploy AI for decision-making, automation, and critical business functions. Insecure AI systems can lead to data breaches, model manipulation, regulatory violations, reputational damage, and unsafe outcomes. This course helps learners understand these risks early and prepares them to think defensively about AI systems before problems occur.

Key advantages of this course include its accessibility to non-technical audiences, its alignment with real-world enterprise concerns, and its focus on governance, ethics, and compliance. It builds a strong conceptual foundation that can later support advanced technical training or strategic decision-making roles.

This course is ideal for professionals who want to understand AI security without becoming developers or engineers. As AI adoption accelerates, organizations will increasingly need professionals who can bridge the gap between AI innovation, cybersecurity, and risk management. Understanding AI security fundamentals today prepares learners for future roles in governance, policy, security leadership, and enterprise AI oversight.

Who this course is for:

Cybersecurity and IT Professionals To understand how AI systems introduce new risks beyond traditional security models and prepare for AI-driven enterprise environments.
AI, Data, and Technology Managers To gain awareness of AI security risks, governance challenges, and compliance responsibilities without needing technical depth.
Risk, Compliance, and Governance Professionals To understand AI-specific threats, regulatory implications, and how AI security impacts organizational risk management.
Students and Career Switchers To build a strong foundational understanding of AI cybersecurity concepts before pursuing advanced technical or strategic roles.

AI Security Engineer Fundamentals: AI Cybersecurity Basics!!

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