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CompTIA CAS-002 : CompTIA Advanced Security Practitioner (CASP) Exam

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Exam Number : CAS-002
Exam Name : CompTIA Advanced Security Practitioner (CASP)
Vendor Name : CompTIA
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CAS-002 test Format | CAS-002 Course Contents | CAS-002 Course Outline | CAS-002 test Syllabus | CAS-002 test Objectives


Exam Title : CompTIA Advanced Security Practitioner (CASP)
Exam ID : CAS-002
Exam Duration : 165 mins
Questions in test : 90
Passing Score : Pass/Fail
Exam Center : CompTIA Marketplace
Real Questions : CompTIA CASP Real Questions
VCE Practice Test : CompTIA CAS-002 Certification VCE Practice Test


Enterprise Security 30%
Given a scenario, select appropriate cryptographic concepts and techniques.
1. Techniques
Key stretching
Hashing
Code signing
Pseudorandom number generation
Perfect forward secrecy
Transport encryption
Data-at-rest encryption
Digital signature
2. Concepts
Entropy
Diffusion
Confusion
Non-repudiation
Confidentiality
Integrity
Chain of trust, root of trust
Cryptographic applications and proper/improper implementations
Advanced PKI concepts
Wild card
OCSP vs. CRL
Issuance to entities
Users
Systems
Applications
Key escrow
Steganography
Implications of cryptographic methods and design
Stream
Block
Modes
ECB
CBC
CFB
OFB
Known flaws/weaknesses
Strength vs. performance vs. feasibility to implement vs. interoperability
3. Implementations
DRM
Watermarking
GPG
SSL
SSH
S/MIME
Explain the security implications associated with enterprise storage.
1. Storage type
Virtual storage
Cloud storage
Data warehousing
Data archiving
NAS
SAN
vSAN
2. Storage protocols
iSCSI
FCoE
NFS, CIFS
3. Secure storage management
Multipath
Snapshots
Deduplication
Dynamic disk pools
LUN masking/mapping
HBA allocation
Offsite or multisite replication
Encryption
Disk
Block
File
Record
Port
Given a scenario, analyze network and security components, concepts and architectures
1. Advanced network design (wired/wireless)
Remote access
VPN
SSH
RDP
VNC
SSL
IPv6 and associated transitional technologies
Transport encryption
Network authentication methods
802.1x
Mesh networks
2. Security devices
UTM
NIPS
NIDS
INE
SIEM
HSM
Placement of devices
Application and protocol aware technologies
WAF
NextGen firewalls
IPS
Passive vulnerability scanners
DAM
3. Virtual networking and security components
Switches
Firewalls
Wireless controllers
Routers
Proxies
4. Complex network security solutions for data flow
SSL inspection
Network flow data
5.  Secure configuration and baselining of networking and security components
ACLs
Change monitoring
Configuration lockdown
Availability controls
6. Software-defined networking
7. Cloud-managed networks
8. Network management and monitoring tools
9. Advanced configuration of routers, switches and other network devices
Transport security
Trunking security
Route protection
10. Security zones
Data flow enforcement
DMZ
Separation of critical assets
11. Network access control
Quarantine/remediation
12. Operational and consumer network-enabled devices
Building automation systems
IP video
HVAC controllers
Sensors
Physical access control systems
A/V systems
Scientific/industrial equipment
13. Critical infrastructure/Supervisory Control and Data Acquisition (SCADA)/ Industrial Control Systems (ICS)
Given a scenario, select and troubleshoot security controls for hosts.
1. Trusted OS (e.g., how and when to use it)
2.  Endpoint security software
Anti-malware
Antivirus
Anti-spyware
Spam filters
Patch management
HIPS/HIDS
Data loss prevention
Host-based firewalls
Log monitoring
3. Host hardening
Standard operating environment/
configuration baselining
Application whitelisting and blacklisting
Security/group policy implementation
Command shell restrictions
Patch management
Configuring dedicated interfaces
Out-of-band NICs
ACLs
Management interface
Data interface
Peripheral restrictions
USB
Bluetooth
Firewire
Full disk encryption
4.  Security advantages and disadvantages of virtualizing servers
Type I
Type II
Container-based
5. Cloud augmented security services
Hash matching
Antivirus
Anti-spam
Vulnerability scanning
Sandboxing
Content filtering
6. Boot loader protections
Secure boot
Measured launch
Integrity Measurement
Architecture (IMA)
BIOS/UEFI
7. Vulnerabilities associated with co-mingling of hosts with different security requirements
VM escape
Privilege elevation
Live VM migration
Data remnants
8. Virtual Desktop Infrastructure (VDI)
9. Terminal services/application delivery services
10. TPM
=> 11. VTPM
12. HSM
Differentiate application vulnerabilities and select appropriate security controls.
1.  Web application security design considerations
Secure: by design, by default, by deployment
2. Specific application issues
Cross-Site Request Forgery (CSRF)
Click-jacking
Session management
Input validation
SQL injection
Improper error and exception handling
Privilege escalation
Improper storage of sensitive data
Fuzzing/fault injection
Secure cookie storage and transmission
Buffer overflow
Memory leaks
Integer overflows
Race conditions
Time of check
Time of use
Resource exhaustion
Geo-tagging
Data remnants
3.  Application sandboxing
4.  Application security frameworks
Standard libraries
Industry-accepted approaches
Web services security (WS-security)
5. Secure coding standards
6. Database Activity Monitor (DAM)
7. Web Application Firewalls (WAF)
8.  Client-side processing vs.server-side processing
JSON/REST
Browser extensions
ActiveX
Java Applets
Flash
HTML5
AJAX
SOAP
State management
JavaScript
Risk Management and Incident Response 20%
Interpret business and industry influences and explain associated security risks.
1.  Risk management of new products, new technologies and user behaviors
2. New or changing business models/strategies
Partnerships
Outsourcing
Cloud
Merger and demerger/divestiture
3. Security concerns of integrating diverse industries
Rules
Policies
Regulations
Geography
4.  Ensuring third-party providers have requisite levels of information security
5.  Internal and external influences
Competitors
Auditors/audit findings
Regulatory entities
Internal and external
client requirements
Top level management
6.  Impact of de-perimeterization (e.g., constantly changing network boundary)
Telecommuting
Cloud
BYOD
Outsourcing
Given a scenario, execute risk mitigation planning, strategies and controls.
1.  Classify information types into levels of CIA based on organization/industry
2.  Incorporate stakeholder input into CIA decisions
3.  Implement technical controls based on CIA requirements and policies of the organization
4. Determine aggregate score of CIA
5. Extreme scenario planning/worst case scenario
6. Determine minimum required security controls based on aggregate score
7. Conduct system specific risk analysis
8. Make risk determination
Magnitude of impact
ALE
SLE
Likelihood of threat
Motivation
Source
ARO
Trend analysis
Return On Investment (ROI)
Total cost of ownership
9.  Recommend which strategy should be applied based on risk appetite
Avoid
Transfer
Mitigate
Accept

10. Risk management processes
Exemptions
Deterrance
Inherent
Residual

11.  Enterprise security architecture frameworks
12.  Continuous improvement/monitoring
13.  Business continuity planning
14. IT governance

Compare and contrast security, privacy policies and procedures based on organizational requirements.

1. Policy development and updates in light of new business, technology, risks and environment changes
2.  Process/procedure development and updates in light of policy, environment and business changes
3.  Support legal compliance and advocacy by partnering with HR, legal, management and other entities
4.  Use common business documents to support security
Risk assessment (RA)/
Statement Of Applicability (SOA)
Business Impact Analysis (BIA)
Interoperability Agreement (IA)
Interconnection Security
Agreement (ISA)
Memorandum Of Understanding (MOU)
Service Level Agreement (SLA)
Operating Level Agreement (OLA)
Non-Disclosure Agreement (NDA)
Business Partnership Agreement (BPA)

5. Use general privacy principles for sensitive information (PII)
6. Support the development of policies that contain

Separation of duties
Job rotation
Mandatory vacation
Least privilege
Incident response
Forensic tasks
Employment and
termination procedures
Continuous monitoring
Training and awareness for users
Auditing requirements and frequency

Given a scenario, conduct incident response and recovery procedures.
1.  E-discovery
Electronic inventory and asset control
Data retention policies
Data recovery and storage
Data ownership
Data handling
Legal holds

2.  Data breach

Detection and collection
Data analytics
Mitigation
Minimize
Isolate
Recovery/reconstitution
Response
Disclosure

3.  Design systems to facilitate incident response

Internal and external violations
Privacy policy violations
Criminal actions
Insider threat
Non-malicious threats/misconfigurations
Establish and review system, audit and security logs

4.  Incident and emergency response
Chain of custody
Forensic analysis of compromised system
Continuity Of Operation Plan (COOP)
Order of volatility

Research and Analysis 18%

Apply research methods to determine industry
trends and impact to the enterprise.

1. Perform ongoing research

Best practices
New technologies
New security systems and services
Technology evolution (e.g., RFCs, ISO)

2. Situational awareness
Latest client-side attacks
Knowledge of current vulnerabilities and threats
Zero-day mitigating controls and remediation
Emergent threats and issues

3.  Research security implications of new business tools
Social media/networking
End user cloud storage
Integration within the business

4. Global IA industry/community

Computer Emergency Response Team (CERT)
Conventions/conferences
Threat actors
Emerging threat sources/ threat intelligence

5. Research security requirements for contracts

Request For Proposal (RFP)
Request For Quote (RFQ)
Request For Information (RFI)
Agreements

Analyze scenarios to secure the enterprise.
1. Create benchmarks and compare to baselines
2. Prototype and test multiple solutions
3. Cost benefit analysis
ROI
TCO

=> 4. Metrics collection and analysis
5. Analyze and interpret trend data to anticipate cyber defense needs
6.  Review effectiveness of existing security controls
7.  Reverse engineer/deconstruct existing solutions
8.  Analyze security solution attributes to ensure they meet business needs

Performance
Latency
Scalability
Capability
Usability
Maintainability
Availability
Recoverability

9. Conduct a lessons-learned/after-action report
10. Use judgment to solve difficult problems that do not have a best solution

Given a scenario, select methods or tools appropriate
to conduct an assessment and analyze results

1. Tool type

Port scanners
Vulnerability scanners
Protocol analyzer
Network enumerator
Password cracker
Fuzzer
HTTP interceptor
Exploitation tools/frameworks
Passive reconnaissance and intelligence gathering tools
Social media
Whois
Routing tables

2. Methods

Vulnerability assessment
Malware sandboxing
Memory dumping, runtime debugging
Penetration testing
Black box
White box
Grey box
Reconnaissance
Fingerprinting
Code review
Social engineering

Integration of Computing, Communications and Business Disciplines 16%

Given a scenario, facilitate collaboration across diverse
business units to achieve security goals.

1.  Interpreting security requirements and goals to communicate with stakeholders from other disciplines

Sales staff
Programmer
Database administrator
Network administrator
Management/executive management
Financial
Human resources
Emergency response team
Facilities manager
Physical security manager

2.  Provide objective guidance and impartial recommendations to staff and senior management on security processes and controls
3. Establish effective collaboration within teams to implement secure solutions
4.  IT governance

Given a scenario, select the appropriate control to secure
communications and collaboration solutions.

1. Security of unified collaboration tools

Web conferencing
Video conferencing
Instant messaging
Desktop sharing
Remote assistance
Presence
Email
Telephony
 VoIP
Collaboration sites
Social media
Cloud-based

2.  Remote access
3. Mobile device management

BYOD

=> 4. Over-the-air technologies concerns

Implement security activities across the technology life cycle.
1.  End-to-end solution ownership
Operational activities
Maintenance
Commissioning/decommissioning
Asset disposal
Asset/object reuse
General change management

2. Systems development life cycle
Security System DevelopmentLife Cycle (SSDLC)/Security Development Lifecycle (SDL)
Security Requirements Traceability Matrix (SRTM)
Validation and acceptance testing
Security implications of agile, waterfall and spiral software development methodologies

3.  Adapt solutions to address emerging threats and security trends
4. Asset management (inventory control)

Device tracking technologies
Geo-location/GPS location
Object tracking and containment technologies
Geo-tagging/geo-fencing
RFID

Technical Integration of Enterprise Components 16%

Given a scenario, integrate hosts, storage, networks and
applications into a secure enterprise architecture.

1.  Secure data flows to meet changing business needs
2. Standards

Open standards
Adherence to standards
Competing standards
Lack of standards
De facto standards

3.  Interoperability issues

Legacy systems/current systems
Application requirements
In-house developed vs. commercial vs. commercial customized

4.  Technical deployment models (outsourcing/insourcing/managed services/partnership)

Cloud and virtualization considerations and hosting options
Public
Private =>
Hybrid
Community
Multi-tenancy
Single tenancy
Vulnerabilities associated with a single physical server hosting multiple companies’ virtual machines
Vulnerabilities associated with a single platform hosting multiple companies’ virtual machines
Secure use of on-demand/ elastic cloud computing
Data remnants
Data aggregation
Data isolation
Resources provisioning and deprovisioning
Users
Servers
Virtual devices
Applications
Securing virtual environments, services, applications, appliances and equipment
Design considerations during mergers, acquisitions and demergers/divestitures
Network secure segmentation and delegation

5. Logical deployment diagram and corresponding physical deployment diagram of all relevant devices
6.  Secure infrastructure design (e.g., decide where to place certain devices/applications)
7. Storage integration (security considerations)
8. Enterprise application integration enablers

CRM
ERP
GRC
ESB
SOA
Directory services
DNS
CMDB
CMS

Given a scenario, integrate advanced authentication and
authorization technologies to support enterprise objectives.

1. Authentication
Certificate-based authentication
Single sign-on

2. Authorization

OAUTH
XACML
SPML

=> 3. Attestation
4. Identity propagation
5. Federation

SAML
OpenID
Shibboleth
WAYF

6.  Advanced trust models
RADIUS configurations
LDAP
AD



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CompTIA CompTIA Questions and Answers

yes, robots are coming in your job, however you could just like the new one other (if you are nevertheless employed) | CAS-002 cheat sheet and PDF Download

Image: GettyImages/gremlin © supplied with the aid of TechRepublic image: GettyImages/gremlin

it's been a century given that the be aware "robot" first entered the human lexicon. within the ensuing a long time, automation has leaped from the pages of science fiction with very precise-world implications on workforces worldwide. whereas the early use of those technologies may have concentrated on the hardware side, advances in AI are ushering in a brand new computerized age, augmenting common human roles across industries; together with skilled parts of the labor force.

© photo: GettyImages/gremlin

For many years, a speculated wave of job-stealing applied sciences has stirred debate about the role of humans within the labor drive alongside innovation and automation. coming near an unknowable future and the no longer-yet-invented applied sciences, what has the historical past of automation shown us in regards to the abilities highway ahead and what might they lose alongside the manner?

CONSTELLATION brands, INC.

can charge of automation: Economics and human labor

past this month, Reign released a document, highlighting sentiments related to AI and the influences of those capabilities on the group of workers. The findings aspect powerful boom in AI jobs as well as surging salaries for these workers. as an example, Reign found that U.S. AI-linked positions accelerated 21% in the final decade and the ordinary profits surged 27% all through this time.

A portion of the survey sought to gauge how concerned laborers in quite a lot of fields were about AI impacting their position. ordinary, 54% of respondents were very or moderately involved about AI "negatively disrupting" their job; throughout all industries, 36% of respondents believed AI will lower the overall number of positions. interestingly, there could be academic elements at play within these automation fears. 

Juan-Manuel Fluxà, CTO at Reign, stated these with at least a bachelor's diploma had been "more than twice as prone to agree with that AI will create more jobs in the future," adding that this "divide in belief is awfully telling for a way training degree leads to advantage and perception of AI."

education may also element into the perceived possibility of AI in terms of very own employment and staff impact, but a human's ability set and skill to without difficulty upskill amid an evolving labor market might also play a key position of their future livelihood.

SEE: electronic records Disposal policy (TechRepublic top rate)

previous this yr, the realm financial forum estimated that automation, "opposite to popular fears about job losses," would outcomes in a net boost of fifty eight million jobs. among the jobs automation will radically change, the firm projected 2-in-3 will "develop into higher-expert," and the final third being "lower-expert."

Joël Blit, affiliate professor of Economics at the college of Waterloo, talked about "predictions are premiere guesses," but the "truth," is that no person is aware of how AI and robotics will have an impact on the group of workers. speaking to his personal opinion, Blit envisioned that there can be job losses because of automation, besides the fact that children employment good points in other areas may offset these rate reductions.

"Many people are failing to remember the biggest difficulty is likely going to be no longer so plenty job losses from these technologies, as a whole lot because the distributional influences that they're going to have," Blit stated.

whereas some employees with talents "complementary to those applied sciences" will drastically advantage from this tech, with wage raises besides, people whose advantage are substitutes for these technologies are going to be harm, based on Blit.

corresponding to information and communications expertise, he stated if these capabilities predominantly turn out to be hurting americans in the mid and low ends of skill distribution, then "we are able to see an increase in inequality."

relocating forward, Blit spoke of there is normally "lots of churn" in the labor market, and governments will deserve to play a part in retraining, as "many roles will disappear, but many others" that require new potential should be generated.

Evolution of automation and career satisfactory

Tom Hathaway, a Udemy instructor who teaches lessons on business evaluation and navigating digital transformation, talked about he is read a whole lot about servers and transportation workers "being phased out," but different positions, now not so tons.

"I have not heard a lot of dialogue about company analysts dropping their jobs but it surely would now not shock me in the event that they did," he endured.

Automation negating the want for a human place is one notion to mull over, the first-rate of the new function augmented with the aid of stated automation is a further point altogether. If these automatic approaches are growing new positions for humans in these industries, has the regular evolution of these sector-selected positions been a web nice or poor for americans in these fields?

here is all a remember of viewpoint, based on Hathaway: For the grownup being changed, the new positions commonly "require larger qualifications," leaving americans who do not reap these new abilities "easily out of the picture." on the societal level, he referred to these new jobs include more international GDP price-add, making it a viewpoint "net win."

"Of path, for people that can and do purchase the necessary capabilities for the brand new positions, it is progress at its ultimate," he continued.

Economics and a premium on human "ingenuity"

whether automation entails software-heavy digital transformation investments or a heavily automatic so-referred to as dark warehouse named because of its capacity to operate with minimal optic-enabling luminescence overhead (in contrast to natural human-crammed factories), the resolution to automate may also come all the way down to simple economics and the almighty dollar.

"in lots of instances initiatives may well be theoretically automatic, but they don't seem to be since it's conveniently more cost-effective to pay a human to try this task – and a human is greater versatile for retraining when the project doubtless adjustments in the future," mentioned Ryan Hill, director in the Gartner HR observe.

it be also essential to take into account the pace of automation and industry-extensive adoption to date. throughout industries, a brand new automated method may also take years or even a long time to profit widespread usage. with ease put, going all-in on automation is never so plenty corresponding to flipping a lightweight swap as it is to situationally reinventing the lightbulb. The inherent velocity of this automation and deployment may also aid with the transition for people in these industries; in essence, softening the blow of automation from a user-adventure point of view.

"In a world the place they automatically swap out all transactional, repetitive initiatives and exchange them with strategic complex ones, the exchange would possible crush worker's," Hill stated. however, actually, he pointed out, this transition is "regularly lots slower," with projects changing personally "over a sustained length."

"This permits worker's to adapt over time and advance new proficiencies that make what was once problematic, standard and repetitive."

On this subject matter, Hill emphasised that automation does not do away with employees' "easiest projects," even though it can make more "mentally-taxing" processes less demanding. as an instance, he pointed to make use of-circumstances involving a junior lawyer conducting "hours of criminal research" and a nurse tasked with prescribing the most desirable triage approach for an incoming affected person.

"AI and other rising applied sciences can find patterns in information that can help make the toughest choices simpler and more suitable-suggested," he mentioned.

tasks on the inventive and social aspect, according to Hill, "fundamentally require people," as a result of these undertakings contain "predicting future results, developing new ideas and conducting interactions with others," areas the place AI has problem because it is "inherently in response to backward-looking current facts."

"whereas it will possibly discover patterns indiscernible to humans, it doesn't yet have the ability wholly to see activities, create situations or expect social interactions that haven't yet came about," Hill talked about. "as a substitute, it gives statistics processing and pattern attention as an input for human ingenuity."

Situationally, increased automation may set a premium on definite intrinsically human capabilities; as Hill defined, AI "implementation increases demand for social-inventive skills — the capacity to strategize, empathize and feel significantly."

SEE:  AI on the excessive seas: Digital transformation is revolutionizing world transport (free PDF) (TechRepublic)

Automation and upskilling: New tech, new knowledge

As new applied sciences bubble up, these capabilities have the potential to reshape economies and the labor force. in a similar fashion, as automation takes form, there's the conception that as positions are changed, the method creates new related positions for individuals in these fields. although these new positions, because the World financial forum points out, may be disproportionately better- or lower-professional in time. however, how has this thinking played out within the tech sector over the final decade and what impact has this evolution of positions had on personnel during this area?

"As automation starts working up the stack starting with the greater hobbies projects, tech employees have the ability to increase deeper advantage and discover more resourceful options," noted Seth Robinson, senior director, know-how analysis, at CompTIA. "This circulation traces up with the shift inside organizations to make IT extra strategic."

Situationally, tech workers have the option to be more aligned with company goals as employees have "extra bandwidth to discover rising know-how," in response to Robinson, which, in flip, gives them a "more integrated position within the organization."

company alignment apart, or not it's enjoyable to agree with what sorts of roles may be churned out as new applied sciences evolve and automation doubtlessly proliferates across industries. many years in the past, as the first welding robots hit assembly strains, even essentially the most ahead-thinking technologists can also were challenging-pressed to dream up roles reminiscent of a chief synthetic Intelligence Officer or an analytics translator.

That spoke of, 60-80 years from now, what roles will people nonetheless have and what will they bring to the table that software and hardware cannot automate?

"As plenty as automation is now in a position to doing, there are nevertheless some tremendously tough problems to solve with algorithms," Robinson mentioned, pointing to autonomous cars which have "been on the cusp of advanced capability" for quite some time, yet nonetheless have not "broken via to achieve the theoretical guarantees."

Untapped theoretical promises aside, AI, once unleashed is not with out its situational algorithmic shortcomings. Over the final yr, AI and algorithms, in usual, have come below scrutiny concerning advantage biases and inequities these capabilities may introduce in industries ranging from healthcare to fiscal capabilities.

relocating ahead, Robinson spoke of people will be essential to monitor automatic methods, seeing as "contemporary AI produces probabilistic effects," individuals will indeed be able to spot these anomalies and increase algorithmic training as "there's always the opportunity that there might be anything surprising."

"For the foreseeable future, humans will probably stay panic in instances with even a reasonable diploma of complexity," he stated.

determining a profession course amid automation

faced with more and more agile AI capabilities and a long time of automation forward, the conception of identifying a sustainable career route for the subsequent half-century can be a daunting project for college kids. Situationally, Hathaway counseled a excessive college-age pupil go "heavy on the humanities," as he believes here is the "final fortress that humanity might guard in opposition t the encroaching expertise."

"youngsters AI can definitely grasp technically sound and proper writing, i need to believe that worst case, a future Shakespeare, Goethe or Hemingway could compete and might be beat it."

As for the occupational lengthy-online game, Hathaway said he'd be "more than stunned if AI ever masters real emotional intelligence," although he's inclined to wage the brokers can be "fantastic at faking it," besides the fact that children he rhetorically questioned the real price of this.

"i'd in reality delight in seeing them take a crack at what I call 'compassionate creativity,'" he observed. "in the event that they can try this, then AI could doubtless deliver superior solutions to these questions than i will."

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