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: Information security risks for large financial institutions such as us have increased significantly in recent years in part because of the proliferation of new technologies, such as Internet and mobile banking to conduct financial transactions, and the increased sophistication and activities of organized crime, hackers, terrorists, nation-states, activists and other external parties. Third parties with whom we or our customers do business also present operational and information security risks to us, including security breaches or failures of their own systems. The possibility of employee error, failure to follow security procedures, or malfeasance also presents these risks, particularly given the recent trend towards remote work arrangements. Our operations rely on the secure processing, transmission and storage of confidential information in our computer systems and networks. In addition, to access our products and services, our customers may use personal computers, smartphones, tablets, and other mobile devices that are beyond our control environment. Although we believe that we have appropriate information security procedures and controls, our technologies, systems, networks and our customers’ devices may be the target of cyber-attacks or information security breaches that could result in the unauthorized release, gathering, monitoring, misuse, theft, sale or loss or destruction of the confidential, and/or proprietary information of CFG, our customers, our vendors, our counterparties, or our employees. We are under continuous threat of loss or network degradation due to cyber-attacks, such as computer viruses, malicious or destructive code, phishing attacks, ransomware, and Distributed Denial of Service (“DDoS”) attacks. This is especially true as we continue to expand customer capabilities to utilize the Internet and other remote channels to transact business. Two of the most significant cyber-attack risks that we face are e-fraud and loss of sensitive customer data. Loss from e-fraud occurs when cybercriminals extract funds directly from customers’ or our accounts using fraudulent schemes that may include Internet-based funds transfers. We have been subject to a number of e-fraud incidents historically. We have also been subject to attempts to steal sensitive customer data, such as account numbers and social security numbers, through unauthorized access to our computer systems including computer hacking. Such attacks are less frequent but could present significant reputational, legal and regulatory costs to us if successful. We have implemented certain technology protections such as Customer Profiling and Set-Up Authentication to be in compliance with the FFIEC Authentication in Internet Banking Environment (“AIBE”) guidelines.
Assistant: