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: Our business employs systems that allow for the secure storage and transmission of customers’, vendors’ and employees’ proprietary information. Security breaches could expose us to a risk of loss or misuse of this information, litigation and potential liability. We may not have the resources or technical sophistication to anticipate or prevent rapidly evolving types of cyber-attacks. Any compromise of our security could result in a violation of applicable privacy and other laws, significant legal and financial exposure, damage to our reputation and a loss of confidence in our security measures, which could harm our business. The regulatory environment related to information security and privacy is increasingly rigorous, with new and constantly changing requirements applicable to our business, and compliance with those requirements could result in additional costs. Our computer systems have been, and will likely continue to be, subjected to computer viruses or other malicious codes, unauthorized access attempts and cyber- or phishing-attacks. Additionally, we may be impacted by intrusions or failures of critical infrastructure such as the power grid or communications systems. These events could compromise ours’ and our customers’ and suppliers’ confidential information, impede or interrupt our business operations, and could result in other negative consequences, including remediation costs, loss of revenue, litigation and reputational damage. While we have not experienced any material losses relating to cyber-attacks or other information security breaches to date, we have been the subject of attempted hacking and cyber-attacks and there can be no assurance that we will not suffer such significant losses in the future. As cyber-attacks become more sophisticated, we expect to incur increasing costs to strengthen our systems from outside intrusions. While we have implemented administrative and technical controls and have taken other preventive actions, such as deploying company-wide cybersecurity training and conducting threat simulations to reduce the risk of cyber incidents and protect our information technology, they may be insufficient to prevent physical and electronic break-ins, cyber-attacks or other security breaches to our computer systems.
Assistant: