Connect with us

Innovation and Technology

What Not to Tell an AI Bot

Published

on

What Not to Tell an AI Bot

Introduction to ChatGPT and Privacy Concerns

ChatGPT has changed the way many of us work and live our day-to-day lives. According to recent stats, over 100 million of us use it every day to process over one billion queries. But the world-conquering LLM chatbot has been described as a “privacy black hole,” with concerns about the way it treats data entered by users, which even led to it being briefly banned in Italy.

How ChatGPT Handles User Data

Its creator, OpenAI, makes no secret of the fact that any data entered may not be secure. As well as being used to further train its models, possibly leading to its exposure in output to other people, it can be reviewed by humans to check for compliance with rules about how it can be used. And, of course, any data sent to any cloud service is only as secure as the provider’s security. What all this means is that any data whatsoever entered into it should be considered public information.

Information to Avoid Sharing with ChatGPT

With this in mind, there are several things that absolutely should never be told to it – or any other public cloud-based chatbot. These include:

Illegal or Unethical Requests

Most AI chatbots have safeguards designed to prevent them from being used for unethical purposes. And if your question or request touches on activities that could be illegal, it’s possible you could find yourself in hot water. Examples of things that are definitely a bad idea to ask a public chatbot are how to commit crimes, carry out fraudulent activity, or manipulate people into taking action that could be harmful. Many usage policies make it clear that illegal requests or seeking to use AI to carry out illegal activities could result in users being reported to authorities.

Logins and Passwords

With the rise of agentic AI, many more of us will find ourselves using AI that’s capable of connecting to and using third-party services. It’s possible that in order to do this, they need our login credentials; however, giving them access could be a bad idea. Once data has gone into a public chatbot, there’s very little control over what happens to it, and there have been cases of personal data entered by one user being exposed in responses to other users.

Financial Information

For similar reasons, it’s probably not a great idea to start putting data such as bank accounts or credit card numbers into genAI chatbots. These should only ever be entered into secure systems used for e-commerce or online banking, which have built-in safety guards like encryption and automatic deletion of data once they have been processed. Chatbots have none of these safeguards. In fact, once data goes in, there’s no way to know what will happen with it, and putting in this highly sensitive information could leave you exposed to fraud, identity theft, phishing, and ransomware attacks.

Confidential Information

Everyone has a duty of confidentiality to safeguard sensitive information for which they’re responsible. Many of these duties are automatic, such as confidentiality between professionals (e.g., doctors, lawyers, and accountants and their clients). But many employees also have an implied duty of confidentiality to their employers. Sharing business documents, such as notes and minutes of meetings or transactional records, could well constitute sharing trade secrets and a breach of confidentiality.

Medical Information

We all know that it can be tempting to ask ChatGPT to be your doctor and diagnose medical issues. But this should always be done with extreme caution, particularly given that recent updates enable it to “remember” and even pull information together from different chats to help it understand users better. None of these functions come with any privacy guarantees, so it’s best to be aware that we really have very little control over what happens to any of the information we enter.

Conclusion

As with anything we put onto the internet, it’s a good idea to assume that there’s no guarantee it will remain private forever. So, it’s best not to disclose anything that you wouldn’t be happy for the world to know. As chatbots and AI agents play an increasingly big role in our lives, this will become a more pressing concern, and educating users on the risks will be an important responsibility for anyone providing this type of service. However, we should remember that we have personal responsibility, too, for taking care of our own data and understanding how to keep it safe.

FAQs

  • Q: Is ChatGPT secure for all types of information?
    • A: No, ChatGPT, like many AI chatbots, is not secure for sensitive or personal information. It’s best to consider any data entered as potentially public.
  • Q: What kind of information should I avoid sharing with ChatGPT?
    • A: Avoid sharing illegal or unethical requests, logins and passwords, financial information, confidential information, and medical information.
  • Q: Can ChatGPT protect my privacy?
    • A: ChatGPT’s creator, OpenAI, indicates that data entered may not be secure and could be used to train models or reviewed by humans, suggesting it cannot guarantee privacy.
  • Q: What are the risks of sharing sensitive information with ChatGPT?
    • A: The risks include fraud, identity theft, phishing, ransomware attacks, and legal consequences, depending on the nature of the information shared.
  • Q: How can I protect my data when using ChatGPT or similar services?
    • A: Only share information you’re comfortable making public, use secure methods for sensitive data like financial information, and be cautious of what you discuss, especially regarding confidentiality and privacy.
Continue Reading

Innovation and Technology

Smarter Security Operations

Published

on

Smarter Security Operations

Introduction to Security Operations Centers

Security Operations Centers are meant to be the command hubs of cybersecurity. But many are bogged down by tool sprawl, false alerts and burned-out teams. Splunk’s State of Security 2025 report shows that security teams are spending more time maintaining tools than stopping threats—and it’s costing them.

I sat down with Michael Fanning, CISO at Splunk, to talk about what insights the reports revealed for him. He summed it up clearly: “The future SOC is extremely streamlined. Analysts will be freed from mundane, repetitive tasks, so they can apply their expertise where it truly matters: defending the organization.”

Too Many Tools, Too Little Time

SOCs today face a flood of alerts. About 59% of respondents say they get too many, and 55% are dealing with too many false positives. That slows down response times and wears down teams. Nearly half of security professionals say they spend more time managing tools than actually protecting systems.

Fanning noted that this isn’t just inefficient—it’s demoralizing. Spending an hour on a low-value alert that turns out to be nothing is frustrating, and it adds up fast. Downtime during an incident can cost over $500,000 per hour.

AI Is Helping—But It’s Not Magic

AI is already making a difference in the SOC. About 59% of security leaders say it has improved their team’s efficiency. Fanning was surprised by how many teams have already started using it. “Greater than 50% of the respondents had mentioned that their security operations are already adopting AI in some form or fashion.”

But AI is not a fix-all. It still needs oversight. Only 11% of respondents fully trust AI for mission-critical decisions. Most prefer a “human-in-the-loop” approach. That means AI helps with repetitive tasks, but people still make the final call.

Fanning put it this way: “I don’t see it as a complete replacement, but more of an aid to help an engineer or an analyst do their job faster than they were before.”

Rethinking Detection for the Real World

Detection engineering is a top skill for modern security teams—but also one of the hardest to find. About 41% of teams say they lack it. Detection as Code is catching on because it lets teams create, test and improve detections like software. But only a third of organizations are using it regularly.

Fanning stressed that quality detection is key. With good data and smart rules, analysts waste less time and respond faster. Better alerts mean better decisions.

Burnout and the Vanishing Foundation

Overwork is a serious problem. More than half of SOCs report staff burnout. Many professionals have even thought about leaving the field.

Some automation can help—but it also raises new questions. If AI handles the basics, how will new analysts learn the fundamentals? Fanning pointed out that his early help desk experience gave him the skills to succeed in cybersecurity. If junior staff skip that step, they may lack the deeper knowledge needed to solve complex problems.

Splunk’s own SOC has automated many tier-one tasks. But instead of cutting jobs, they use the freed-up time for higher-priority work. It’s about shifting focus, not shrinking teams.

Bringing It All Together

One major problem is tool sprawl. Seventy-eight percent of respondents say their tools don’t work well together. That makes fast response harder. When teams adopt a unified platform, they report better results—faster response times, less tool upkeep and stronger coverage.

Security is no longer just a job for the SOC. It takes support from across the company—from HR and IT to legal and engineering. But only a small number of teams always share data across these departments. Fanning says that building those connections is crucial for quicker, more accurate responses.

The Path Forward

The future of the SOC is about using people, processes and platforms in a smarter way. That means making thoughtful use of AI, improving detection methods, closing skill gaps and unifying security workflows.

The threats are faster, and the stakes are higher. But the Splunk report suggests that with the right strategy, SOCs can keep up—and even get ahead.

Conclusion

Security Operations Centers are facing numerous challenges, including tool sprawl, false alerts, and burnout. However, with the help of AI, streamlined workflows, and a unified approach, SOCs can overcome these challenges and become more efficient and effective. By adopting a smarter approach to security, organizations can reduce the risk of cyber threats and protect their assets.

FAQs

Q: What is the main challenge facing Security Operations Centers today?
A: The main challenge facing Security Operations Centers today is tool sprawl, false alerts, and burnout.
Q: How can AI help Security Operations Centers?
A: AI can help Security Operations Centers by improving their team’s efficiency, automating repetitive tasks, and providing better detection methods.
Q: What is the importance of a unified platform in Security Operations Centers?
A: A unified platform is important in Security Operations Centers because it allows teams to work together more effectively, reduces tool upkeep, and provides stronger coverage.
Q: How can organizations reduce the risk of cyber threats?
A: Organizations can reduce the risk of cyber threats by adopting a smarter approach to security, using people, processes, and platforms in a more effective way, and making thoughtful use of AI and detection methods.

Continue Reading

Innovation and Technology

Insurance in the Digital Age: Strategies for Managing Risk and Building Resilience

Published

on

Insurance in the Digital Age: Strategies for Managing Risk and Building Resilience

In today’s fast-paced world, digital transformation strategies are revolutionizing the insurance industry, enabling companies to better manage risk and build resilience. With the rise of technology, insurers can now leverage data analytics, artificial intelligence, and other digital tools to improve their operations and provide more personalized services to their customers. As the insurance landscape continues to evolve, it’s essential for companies to adapt and innovate to stay ahead of the curve.

Understanding the Digital Landscape

The insurance industry is undergoing a significant transformation, driven by advances in technology and changing consumer behavior. The proliferation of digital channels, such as online platforms and mobile apps, has created new opportunities for insurers to engage with customers and provide more convenient services. However, this shift also brings new risks, such as cyber threats and data breaches, which insurers must be prepared to mitigate.

The Impact of Digitalization on Insurance

Digitalization is having a profound impact on the insurance industry, from underwriting and claims processing to customer service and marketing. Insurers are using data analytics and machine learning algorithms to better assess risk and personalize policies, while also improving the efficiency of their operations. Additionally, digital platforms are enabling insurers to reach new customers and provide more flexible and affordable products.

Key Trends in Digital Insurance

Several key trends are shaping the digital insurance landscape, including the use of telematics and wearable devices to monitor customer behavior, the rise of peer-to-peer insurance models, and the increasing importance of cybersecurity. Insurers must stay ahead of these trends to remain competitive and provide value to their customers.

Building Resilience in a Digital World

Building resilience is critical for insurers in a digital world, where risks are evolving and intensifying. This requires a proactive approach to risk management, including the use of advanced analytics and scenario planning to identify and mitigate potential threats. Insurers must also invest in robust cybersecurity measures to protect their customers’ data and prevent cyber attacks.

Strategies for Managing Risk

To manage risk effectively, insurers should adopt a range of strategies, including diversification, hedging, and reinsurance. They should also invest in employee training and education to ensure that staff are equipped to handle complex risks and respond to emerging threats. Furthermore, insurers should engage with regulators and industry bodies to stay informed about changing regulatory requirements and best practices.

Role of Technology in Risk Management

Technology plays a vital role in risk management, enabling insurers to analyze large datasets, identify patterns, and predict potential risks. Insurers can use tools such as predictive modeling and machine learning to anticipate and prepare for emerging threats, reducing the likelihood of losses and improving their overall resilience.

Creating a Digital-First Culture

To succeed in a digital world, insurers must create a digital-first culture that prioritizes innovation, agility, and customer-centricity. This requires a fundamental shift in mindset, from a traditional, product-focused approach to a more flexible, customer-driven model. Insurers should invest in digital talent and capabilities, including data scientists, software developers, and user experience designers.

Importance of Customer Experience

Customer experience is critical in a digital world, where customers expect seamless, personalized interactions with insurers. Insurers should use data analytics and customer feedback to design products and services that meet customers’ evolving needs, while also providing multichannel support and engagement.

Role of Innovation in Digital Insurance

Innovation is essential in digital insurance, enabling insurers to stay ahead of the competition and address emerging customer needs. Insurers should invest in research and development, collaborating with startups, fintech companies, and other industry partners to leverage new technologies and business models.

Conclusion

In conclusion, the insurance industry is undergoing a significant transformation, driven by digital transformation strategies and changing consumer behavior. To manage risk and build resilience, insurers must adopt a proactive approach to risk management, leveraging advanced analytics, scenario planning, and robust cybersecurity measures. By creating a digital-first culture, prioritizing customer experience, and investing in innovation, insurers can stay ahead of the curve and provide value to their customers in a rapidly evolving landscape.

Frequently Asked Questions

What is digital transformation in insurance?

Digital transformation in insurance refers to the use of digital technologies, such as data analytics, artificial intelligence, and online platforms, to improve the efficiency, agility, and customer-centricity of insurance operations.

How is digitalization impacting the insurance industry?

Digitalization is having a profound impact on the insurance industry, from underwriting and claims processing to customer service and marketing. Insurers are using data analytics and machine learning algorithms to better assess risk and personalize policies, while also improving the efficiency of their operations.

What are the key trends in digital insurance?

Key trends in digital insurance include the use of telematics and wearable devices to monitor customer behavior, the rise of peer-to-peer insurance models, and the increasing importance of cybersecurity.

How can insurers build resilience in a digital world?

Insurers can build resilience in a digital world by adopting a proactive approach to risk management, including the use of advanced analytics and scenario planning to identify and mitigate potential threats. They should also invest in robust cybersecurity measures to protect their customers’ data and prevent cyber attacks.

What is the role of technology in risk management?

Technology plays a vital role in risk management, enabling insurers to analyze large datasets, identify patterns, and predict potential risks. Insurers can use tools such as predictive modeling and machine learning to anticipate and prepare for emerging threats, reducing the likelihood of losses and improving their overall resilience.

Continue Reading

Innovation and Technology

Tech Partnership Reduces Active Suspension Size, Weight, Cost

Published

on

Tech Partnership Reduces Active Suspension Size, Weight, Cost

A new partnership aims to make a comfort feature generally available only in luxury vehicles, smaller and less expensive enough to be offered in more affordable models. That feature is called active suspension. As opposed to what’s known as passive suspension using shock absorbers and springs, active suspension does a better job absorbing road bumps and other inconsistencies and providing a quieter ride using electronic components and sensors.

The Challenges of Active Suspension

The problem is, active suspension systems are heavier and more expensive. They also require 10-15 kilowatts of power, requiring large and heavy DC-to-DC power converters. But a partnership between Andover, Massachusetts-based Vicor and Chinese tech firm Xiamen Hongfa Electroacoustic Co., Ltd., better known as Hongfa, is combining their expertise to solve those issues, the companies announced Wednesday.

The Solution: Compact and Efficient Active Suspension

Hongfa has designed the smallest and lightest active suspension system on the market by combining a 48V architecture and high-density power modules. Four Vicor fixed-ratio BCM6135, 800V-to-48V DC-DC bus converters are used to convert high voltage to 48V and route power to each wheel. Hongfa, a leading manufacturer of power relays, developed a compact, lightweight active suspension system using much less power by incorporating high-density, small, lightweight power modules produced by Vicor.

Key Features of the New Active Suspension System

The Hongfa active suspension system is liquid cooled and is the most compact on the market, weighing 2.6kg and measuring 197 x 201 x 71mm, according to the company. The concept leverages the 48 volt networks replacing 12 volt systems in today’s electrified vehicles aimed at improving efficiency and reducing vehicle size and weight. It’s a power level considered safe for anyone servicing a vehicle, and also allows a major reduction in the size of active suspension system actuators.

How the System Works

The vehicle’s 800 volt battery provides current when the vehicle travels over smooth road surfaces, and the suspension actuation motor is the 48 volt load. When the vehicle travels over a bumpy road, the linear motors in the suspension system momentarily become generators, which increase the voltage on the low side of the converter. This difference in voltage reverses the direction of current flow. The 800V battery then momentarily becomes the load and recovers energy by charging through its battery management control system.

Benefits of the New Active Suspension System

The results could mean a benefit for EV drivers looking to squeeze more driving range from their vehicles’ batteries. “You get a small range increase because of the weight decrease, but also because of the power regeneration, recapturing the power,” said Greg Green, director, automotive marketing at Vicor. Essentially any suspension event, you’re only consuming three to 4% of the total power that was put in, and then 96% or so gets put back into the battery.

Conclusion

The new active suspension system developed by Vicor and Hongfa has the potential to revolutionize the automotive industry by providing a more efficient, compact, and cost-effective solution for luxury and mid-luxury vehicles. With its ability to regenerate power and reduce energy consumption, this system could become ubiquitous across a wider vehicle price range within the next 15 years.

FAQs

  • Q: What is active suspension and how does it differ from passive suspension?
    A: Active suspension uses electronic components and sensors to absorb road bumps and provide a quieter ride, whereas passive suspension uses shock absorbers and springs.
  • Q: What are the benefits of the new active suspension system developed by Vicor and Hongfa?
    A: The new system is more compact, efficient, and cost-effective, and has the ability to regenerate power and reduce energy consumption.
  • Q: When can we expect to see the new active suspension system in production vehicles?
    A: The first use of the active suspension system incorporating Vicor and Hongfa technology is expected to reach consumers around the end of 2026 or 2027, mainly in luxury and mid-luxury vehicles.
  • Q: Will the new active suspension system be affected by import tariffs?
    A: The impact of import tariffs is expected to be minimal, as Vicor ships its U.S.-made power modules to Hongfa, which builds the finished product.
Continue Reading
Advertisement

Our Newsletter

Subscribe Us To Receive Our Latest News Directly In Your Inbox!

We don’t spam! Read our privacy policy for more info.

Trending