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: We utilize, develop, install and maintain a number of information technology systems both for us and for others. Various privacy and security laws require us to protect sensitive and confidential information from disclosure. In addition, we are bound by our client and other contracts, as well as our own business practices, to protect confidential and proprietary information (whether it be ours or a third party's information entrusted to us) from disclosure. Our computer systems, as well as those of our clients, contractors and other vendors, face the threat of unauthorized access, computer hackers, viruses, malicious code, cyber attacks, phishing and other security incursions and system disruptions, including attempts to improperly access our confidential and proprietary information as well as the confidential and proprietary information of our clients and other business partners. While we endeavor to maintain industry-accepted security measures and technology to secure our computer systems and while we endeavor to ensure our cloud vendors that store our data maintain similar measures, these systems and the information stored on these systems may still be subject to threats. There can be no assurance that our efforts will protect us against all threats. Further, as these security threats continue to evolve, we may be required to devote additional resources to protect, detect and respond against such threats. A party who circumvents our security measures, or those of our clients, contractors or other vendors, could misappropriate confidential or proprietary information, improperly manipulate data, or cause damage or interruptions to systems. Any of these events could damage our reputation, result in litigation and regulatory fines and penalties, or have a material adverse effect on our business, financial condition or results of operations. Furthermore, while we maintain insurance that specifically covers cybersecurity threats, our coverage may not sufficiently cover all types of losses or claims that may arise.
Assistant: