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Barriers to achieving ROI in AI deployments: Overcoming the Hurdles
1.
What are the main hurdles your organization faces when implementing AI in cybersecurity? Tick your top three.
A. High implementation costs
B. Lack of skilled personnel
C. Integration with existing systems
D. Data quality issues
E. Regulatory compliance
F. Resistance to change within the organization
G. Immaturity of AI technology
H. Security concerns about AI
Other (please specify)
2.
Which strategies have proven successful in overcoming high implementation costs? Tick your top three.
A. Leveraging cloud-based AI solutions
B. Implementing AI in phases
C. Securing additional funding or grants
D. Demonstrating early ROI through pilot projects
E. Partnering with AI vendors for cost-effective solutions
F. Utilizing in-house expertise to reduce external costs
G. Outsourcing
3.
What are the most significant data quality issues impacting your AI deployments? Tick your top three.
A. Incomplete data
B. Inaccurate data
C. Lack of data standardization/formats
D. Data silos within the organization
E. Insufficient data volume for training AI models
F. Outdated or irrelevant data
4.
How have you addressed data quality issues in your AI deployments? Tick your top three.
A. Implementing data cleaning and preprocessing tools
B. Establishing data governance frameworks
C. Collaborating with third-party data providers
D. Investing in data infrastructure
E. Using synthetic data for training AI models
F. Conducting regular data audits
Other (please specify)
5.
What regulatory compliance challenges do you face when deploying AI in cybersecurity? Tick your top three.
A. Keeping up with changing regulations
B. Ensuring data privacy and protection
C. Obtaining necessary approvals and certifications
D. Meeting industry-specific compliance standards
E. Demonstrating transparency and explainability of AI models
F. Managing different cross-border data flow regulations
G. Data loss (potentially including PII)
H. Ingress of copyrighted material
Other (please specify)
6.
What measures have you taken to ensure regulatory compliance in your AI deployments? Tick your top three.
A. Conducting regular compliance audits
B. Implementing robust data protection measures
C. Collaborating with legal and compliance experts
D. Using AI explainability and transparency tools
E. Engaging with regulators and industry bodies
F. Developing internal policies and procedures
Other (please specify)
7.
To what extent are your data security and gen AI systems integrated across the enterprise?
A. Not integrated at all - separate systems for multiple functions or departments.
B. Limited integration - some shared components but significant silos.
C. Moderate integration - efforts to consolidate certain functions.
D. Good integration - most systems are connected, but some remain independent.
E. Fully integrated - a unified identity and access management system across the enterprise.
8.
What are the main barriers to integrating AI with your existing systems? Tick your top three.
A. Technical incompatibility
B. Data integration challenges
C. High integration costs
D. Lack of internal expertise
E. Resistance from IT teams
F. Concerns about system performance and stability
G. Lack of use cases
9.
How have you successfully integrated AI with your existing systems? Tick your top three.
A. Using APIs and middleware solutions
B. Partnering with technology vendors for integration support
C. Conducting thorough testing and validation
D. Training internal teams on integration best practices
E. Gradual integration through pilot projects
F. Investing in modernization of legacy systems
G. Investing in tool integration
Other (please specify)
10.
How much of the security team’s time is spent doing non-security work (integration, development, compliance, admin etc)?
A) Less than 5%
B) 6 – 10%
C) 11- 15%
D) 16 -25%
E) More than 25%
11.
How many people are on your security team?
A) 1
B) 1-5
C) 6-10
D) 11-20
E) 20-50
F) More than 50
12.
How many gen AI and data security tools do you currently employ?
A. One integrated platform
B. Fewer than 5.
C. 6 – 10
D. 11 - 15
E. 15 – 25
F. More than 25
13.
What would you expect your top 3 benefits to be from integrating on one platform (or if integrated, what are your top 3 benefits?)
A. Avoid duplication of features
B. Reduced purchase cost
C. Reduce Complexity
D. Reduce training cost/effort
E. Reduce integration cost/effort
F. Reduced human errors
G. Standardization of security policies
H. Easier/faster reporting to management
I. Reduced risk exposure
J. Alleviate staffing shortages
K. Reduced alerts
L. Quicker threat analysis
M. Reduced threat incident response time
N. Reduced total running costs
14.
What skills gaps have you identified in your organization that impact AI deployment? Tick your top three.
A. AI and machine learning expertise
B. Data science and analytics skills
C. Cybersecurity knowledge
D. Software development and engineering skills
E. Project management capabilities
F. Understanding of regulatory and compliance requirements
15.
What strategies have you employed to address skills gaps in AI deployment? Tick your top three.
A. Hiring specialized talent
B. Providing training and development programs
C. Partnering with educational institutions
D. Leveraging external consultants and experts
E. Promoting cross-functional collaboration
F. Encouraging continuous learning and certification
G. Outsourcing
16.
What are the common resistance points within your organization when adopting AI in cybersecurity? Tick your top three.
A. Fear of job displacement
B. Lack of understanding of AI benefits
C. Concerns about data privacy and security
D. Scepticism about AI's effectiveness
E. Budget constraints
F. Cultural resistance to change
17.
How have you managed organizational resistance to AI adoption? Tick your top three.
A. Conducting awareness and education campaigns
B. Involving stakeholders in the AI deployment process
C. Demonstrating quick wins and early successes
D. Ensuring transparency and communication
E. Offering incentives for AI adoption
F. Addressing employee concerns and providing support
18.
If you have
not
implemented generative AI, what is the most important thing that would persuade you to do so? Free text answer.
19.
If you have implemented generative AI, what is the most important thing that, with hindsight, you wish you knew or had done before you began? Free text answer.