From the course: CompTIA SecurityX (CAS-005) Cert Prep
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Learning objectives
From the course: CompTIA SecurityX (CAS-005) Cert Prep
Learning objectives
“
- Lesson 5 is all about artificial intelligence. We're going to look at security challenges with AI as we explore legal and privacy implications of AI, threats to the models, AI-enabled attacks, risks of AI usage, and issues concerning AI assistance and digital workers.
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Contents
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Module 1: Governance, risk, and compliance introduction1m 32s
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Learning objectives26s
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Security program documentation6m 2s
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Security program management14m 35s
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Governance frameworks2m 25s
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Change and configuration management5m 37s
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Governance, risk, and compliance (GRC) tools4m 49s
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Data governance in staging environments5m 38s
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Learning objectives28s
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Impact analysis2m 34s
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Risk assessment and management11m 39s
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Third-party risk management4m 54s
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Availability risk considerations9m 56s
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Confidentiality risk considerations9m 58s
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Integrity risk considerations5m 30s
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Privacy risk considerations6m 7s
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Crisis management and breach response6m 40s
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Learning objectives26s
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Awareness of industry-specific compliance4m 7s
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Industry standards2m 20s
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Security and reporting frameworks5m 18s
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Audits vs. assessments vs. certifications5m 4s
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Privacy regulations3m 26s
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Cross-jurisdictional compliance requirements10m 15s
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Module 2: Security architecture introduction2m 33s
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Learning objectives27s
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Next-generation firewalls2m 2s
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Intrusion detection/prevention systems7m 8s
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VPNs and SDPs10m 50s
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Network access control (NAC)4m 20s
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Web application firewalls (WAF)2m 47s
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Content delivery networks (CDN)3m 36s
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Scanners, proxies, taps, and collectors8m 4s
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Availability and integrity design considerations14m 27s
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Learning objectives29s
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Security requirements definition4m 37s
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Software assurance9m 18s
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Continuous integration/continuous deployment (CI/CD)11m 47s
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Supply chain risk management4m 13s
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Hardware assurance3m 20s
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End-of-life (EOL) considerations1m 20s
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Learning objectives30s
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Attack surface management and reduction5m 59s
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Detection and threat hunting2m 10s
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Information and data security design3m 18s
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Data loss prevention (DLP)3m 33s
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Securing hybrid infrastructures4m 45s
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Securing third-party integrations2m 53s
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Assessing control effectiveness5m 41s
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Learning objectives32s
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Provisioning, proofing, and deprovisioning9m 34s
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Access control systems4m 58s
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Federation and SSO8m 11s
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Zero trust PDPs and PEPs6m 31s
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Access control models12m 8s
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Public key infrastructure (PKI)11m 15s
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Logging and auditing access control2m 50s
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Learning objectives37s
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Cloud service types and shared responsibility8m 6s
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Cloud control strategies4m 2s
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Serverless cloud solutions12m 28s
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Infrastructure as code (IaC)3m 13s
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Container security6m 4s
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API security3m 54s
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Cloud access security brokers (CASB)5m 3s
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Key management services3m 49s
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Cloud connectivity, integration, and adoption9m 8s
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Learning objectives39s
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Zero trust principles4m 55s
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Defining subject-object relationships4m 9s
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Continuous authorization and context-based reauthentication3m 41s
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Zero trust network architecture4m 38s
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API integration and validation3m 11s
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Asset identification, management, and attestation2m 37s
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Security boundaries and deperimeterization4m 20s
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Module 3: Security engineering introduction4m 9s
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Learning objectives33s
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Subject access control7m 38s
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Authentication and authorization16m 49s
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Biometric factors14m 5s
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Secrets management2m 42s
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Conditional access6m 28s
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Privileged identity management and attestation4m 22s
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Cloud IAM access and trust policies3m 8s
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Logging and monitoring IAM2m 36s
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Learning objectives46s
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Host-based IDS and IPS3m 55s
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Endpoint detection and response (EDR)1m 51s
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Next-generation EDR2m 12s
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Attack surface monitoring and reduction4m 41s
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Antimalware2m 55s
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Host-based firewall and browser isolation3m 26s
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SELinux3m 20s
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Configuration management and application control7m 58s
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Enterprise mobility management (MDM and MAM)6m 26s
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Threat actor tactics, techniques, and procedures (TTPs)3m 17s
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Learning objectives29s
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Network misconfigurations10m 2s
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IDS and IPS issues5m 15s
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Domain name system (DNS) security6m 34s
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Email security8m 13s
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TLS and PKI issues4m 8s
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Denial of service issues3m 29s
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Network access control list (ACL) issues5m 3s
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Learning objectives33s
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Threat actor TTPs8m 47s
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Roots of trust6m 42s
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Security coprocessors4m 37s
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Virtual and self-healing hardware3m 24s
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Secure and measured boot3m 12s
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Host-based encryption and self-encrypting drive (SED)3m 3s
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Tamper detection and countermeasures4m 4s
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Learning objectives38s
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Characteristics of specialized and legacy systems4m 25s
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Operational technology (OT)4m 42s
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Internet of things (IoT)3m 17s
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Embedded systems and system-on-chip (SoC)2m 22s
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Wireless technologies and radio frequency (RF)7m 42s
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Security and privacy considerations6m 47s
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Industry-specific challenges7m
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Learning objectives40s
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Scripting and event-based triggers5m 6s
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Infrastructure as code (IaC)2m 59s
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Configuration files2m 31s
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Cloud APIs andsoftware development kits (SDKs)4m 44s
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Generative AI2m 30s
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Containerization2m 56s
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Automated patching and auto-containment4m 16s
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Security orchestration, automation, and response (SOAR)7m 19s
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Security content automation protocol (SCAP)7m 7s
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Learning objectives35s
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Post-quantum cryptography (PQC)5m 56s
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Key stretching and splitting6m 18s
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Homomorphic and envelope encryption2m 30s
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Forward secrecy2m 52s
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Authenticated encryption with associated data (AEAD)3m 18s
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Hardware acceleration4m 28s
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Mutual authentication and secure multiparty computation2m 51s
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Learning objectives43s
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Data in transit, rest, and use5m 32s
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Data sanitization and anonymization7m 11s
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Secure email with cryptography1m 43s
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Non-repudiation5m 49s
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Immutable databases and blockchain4m 55s
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Legal, regulatory, and privacy considerations3m 49s
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Passwordless authentication2m 19s
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Software provenance and code integrity3m 40s
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Survey of cryptographic techniques11m 57s
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Module 4: Security operations introduction2m 7s
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Learning objectives26s
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Security information event management (SIEM)2m 47s
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Aggregate data analysis5m 35s
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Behavior baselines and analytics7m 48s
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Incorporating diverse data sources11m 10s
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Security alerting for data6m 16s
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Reporting and metrics2m 39s
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Learning objectives30s
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Injection attacks6m 44s
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Request forgery5m 53s
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Unsafe memory utilization5m 28s
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Race conditions5m 36s
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Insecure configurations and improper patching7m 48s
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Deserialization and confused deputy vulnerabilities5m 8s
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Weak ciphers2m 12s
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Learning objectives36s
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Input validation, output encoding, and indexing6m 31s
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Safe functions2m 55s
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Updating and patching2m 11s
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Security design patterns2m 43s
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Least privilege, defense in depth, and segregation of duties6m 47s
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Fail secure and fail safe5m 54s
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Secrets management3m 8s
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Encryption and code signing4m 3s
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Learning objectives33s
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Internal intelligence sources11m 15s
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External intelligence sources4m 54s
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Counterintelligence and operational security4m 40s
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Threat intelligence platforms (TIPs)2m 51s
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Indicator of compromise (IoC) sharing3m 19s
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Indicators of attack3m 13s
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Rule-based languages7m 36s
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Learning objectives31s
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Malware analysis9m 30s
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Hardware analysis5m 29s
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Reverse engineering3m 53s
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Data recovery and extraction7m 42s
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Root cause analysis and threat response8m 26s
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Preparedness exercises6m 8s
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Cloud workload protection program (CWPP)2m 2s
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