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 are continuously exposed to unauthorized attempts to compromise sensitive information from network or information technology used by our associates and consultants. Attacks on information technology systems continue to grow in frequency and sophistication. These attacks include, but are not limited to, attempts to gain unauthorized access to digital systems for purposes of misappropriating assets or sensitive information, corrupting data or causing operational disruption. While we have policies, procedures and systems in place to prevent, deter and detect cyberattacks or security incidents, and, although we have not experienced a material data breach, we remain vulnerable to sophisticated techniques used to obtain unauthorized access, or cause system interruption, that change frequently and may not produce immediate signs of intrusion. As a result, we may be unable to anticipate these incidents or techniques, timely discover them or implement adequate preventative measures. Any cyberattack, unauthorized intrusion, malicious software infiltration, network disruption, corruption of data, misuse or theft of private or other sensitive information, or inadvertent acts by our associates, consultants or third-party independent contractors, could result in the disclosure or misuse of confidential or proprietary information, and could adversely impact our systems, services, operations, financial results and reputation with clients and potential clients.
Assistant: