Top AI Prompts for Cybersecurity Policies

Identify 5 emerging external cyber threats relevant to financial institutions, based on the ‘Threat Intelligence Q2’ report.

Use Case: Speeds up threat awareness by leveraging existing intelligence.

ClickUp Brain Behaviour: Extracts and summarizes key threat patterns from linked intelligence documents to inform policy focus.

What are the latest internal vulnerability patterns observed in healthcare IT systems under $1M budget?

Use Case: Supports risk prioritization with targeted vulnerability insights.

ClickUp Brain Behaviour: Aggregates findings from internal audit reports; Brain Max can supplement with public vulnerability databases if accessible.

Draft a policy brief for role-based access control inspired by NIST guidelines. Reference ‘Access Control Framework’ and prior compliance notes.

Use Case: Aligns security and compliance teams on access management standards.

ClickUp Brain Behaviour: Extracts relevant standards and notes from linked docs to generate a structured policy outline.

Summarize compliance gaps between HIPAA and GDPR using our ‘Compliance Audit 2024’ document.

Use Case: Facilitates comparative compliance analysis without manual review.

ClickUp Brain Behaviour: Extracts tabular and textual data from internal audits and produces a concise comparison.

List leading encryption protocols recommended for cloud data protection, referencing R&D and vendor specification documents.

Use Case: Guides selection of robust encryption methods.

ClickUp Brain Behavior: Scans internal documents to identify commonly cited encryption standards and their performance notes.

From the ‘Incident Response Plan’ doc, generate a detailed checklist for cyberattack mitigation steps.

Use Case: Streamlines incident handling with clear, actionable tasks.

ClickUp Brain Behavior: Extracts response criteria and formats them into a task checklist within a doc or project.

Summarize 3 emerging trends in multi-factor authentication from recent security research and technology reviews.

Use Case: Keeps authentication policies current and evidence-based.

ClickUp Brain Behavior: Identifies patterns and recurring themes from linked research materials.

From the ‘Employee Security Survey Q1’ doc, summarize key findings on phishing awareness and training effectiveness.

Use Case: Helps tailor training programs to address knowledge gaps.

ClickUp Brain Behavior: Analyzes survey data to highlight common feedback and training needs.

Write concise and approachable security alert copy for internal communications, using tone guidelines from ‘SecurityTone.pdf’.

Use Case: Accelerates creation of consistent, user-friendly alerts.

ClickUp Brain Behavior: Draws on tone references to suggest variations for alert messaging.

Summarize key changes in the 2025 cybersecurity regulations affecting financial services and their impact on policy updates.

Use Case: Ensures policies reflect the latest legal requirements.

ClickUp Brain Behavior: Extracts and condenses information from compliance documents; Brain Max can incorporate public updates if available.

Generate a checklist for data privacy compliance based on India’s Personal Data Protection Act, referencing internal legal documents.

Use Case: Supports regional compliance adherence.

ClickUp Brain Behavior: Extracts key provisions and compliance steps from internal references to form a task list.

Create a pre-audit checklist referencing US cybersecurity audit standards and our internal control documentation.

Use Case: Helps audit teams prepare efficiently and thoroughly.

ClickUp Brain Behavior: Identifies requirements from PDFs and internal docs, organizing tasks by audit area.

Compare sustainable cybersecurity practices like energy-efficient data centers across leading firms using competitive analysis documents.

Use Case: Supports innovation in eco-conscious security strategies.

ClickUp Brain Behavior: Summarizes comparative data into clear, actionable insights.

What new security challenges have arisen in IoT devices since 2023?

Use Case: Provides R&D teams with forward-looking threat intelligence.

ClickUp Brain Behavior: Synthesizes trends from internal research, threat reports, and uploaded studies.

Summarize key cybersecurity concerns from Southeast Asia client feedback (incident types, response times, policy gaps).

Use Case: Drives region-specific policy improvements.

ClickUp Brain Behavior: Extracts and prioritizes user-reported issues from surveys, support tickets, and feedback notes.

Specify the cybersecurity context

Broad prompts yield vague policies. Include details like industry sector (e.g., “financial services” or “healthcare”), compliance requirements (e.g., “HIPAA” or “GDPR”), or threat landscape (e.g., “phishing attacks” or “ransomware risks”).

Example: “Draft access control policies for a mid-sized healthcare provider handling patient data.”

Ask for side-by-side policy comparisons

AI excels at contrasting options. Use prompts like “compare X and Y” to assess different security measures, compliance frameworks, or incident response strategies.

Example: “Compare multi-factor authentication methods for remote workforce security.”

Focus on the task the policy must achieve

Think of your prompt as a clear security goal. Instead of vague requests, specify the desired outcome:

Example: “Create a data retention policy that balances regulatory compliance with minimal storage costs.”

Specify the format you need

Need a checklist, policy outline, risk matrix, or training plan? State it explicitly. AI delivers better when the output style is clear.

Example: “Provide a bullet-point list of key steps for incident response in a financial institution.”