System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: Data privacy and cybersecurity risks have become a subject of heightened legislative and regulatory focus in recent years. Federal bank regulatory agencies have proposed regulations to enhance cyber risk management standards, which would apply to us and our third-party service providers. These regulations focus on areas such as cyber risk governance, management of dependencies, incident response, cyber resilience, and situational awareness. State-level legislation and regulations have also been proposed or adopted, requiring notification to individuals in the event of a security breach of their personal data. Examples include the California Consumer Privacy Act (CCPA) and other state-level privacy, data protection, and data security laws and regulations. We collect, maintain, and use non-public personal information of our customers, clients, employees, and others. The sharing, use, disclosure, and protection of this information are governed by federal and state laws. Compliance with these laws is essential to protect the privacy of personal information and avoid potential liability and reputational damage. Failure to comply with privacy laws and regulations may expose us to fines, litigation, or regulatory enforcement actions. It may also require changes to our systems, business practices, or privacy policies, which could adversely impact our operating results. Privacy initiatives have imposed and will continue to impose additional operational burdens on us. These initiatives may limit our ability to pursue desirable business initiatives and increase the risks associated with any future use of personal data. New privacy and data protection initiatives, such as the CCPA, may require changes to policies, procedures, and technology for information security and data segregation. Non-compliance with these initiatives may make us more vulnerable to operational failures and subject to monetary penalties, litigation, or regulatory enforcement actions.
Assistant: