Prioritizing Security for
ChatGPT Enterprise

ChatGPT - What’s this?

It barely takes a few seconds for you to tell what it is exactly.

You need a presentation for a new product iteration. You turn to ChatGPT.

There’s an annual business meeting. You have a ChatGPT bot to create well-defined and business-oriented agendas with your choices of prompts.

Your client owes money to you. Get ChatGPT to craft an empathetic email to get your money back.

Have a new employee joining you? There’s ChatGPT for this, too, and ask what not for.

ChatGPT has demonstrated huge human-level intelligence relying on large language models, popular as GPT or Generative Pre-Trained Transformer.

This OpenAI bot is a general-purpose chat interface. Yet, it has so much promise to do what humans want not to do, more specifically, those repetitive or mundane activities.

At a certain point, It’s not hard for you to believe that ChatGPT can do everything for you. Of course, the necessary work you need to do.

But can you ignore the potential threat scenarios it brings along with it?

When overwhelmed by its supremacy, you are less vigilant or alert to use it responsibly and make a mistake. That’s only a prelude to a range of threat attacks.

There are more sophisticated threats or vulnerabilities for enterprises and business leaders. You need to be careful about these threats.

The responsible use of ChatGPT or Generative AI tools can only ensure maximum business value for your growth.

What security risks does ChatGPT raise for enterprises?

ChatGPT security risks for enterprises

As you type your query, you only become more enthralled by its ability to give an answer.

Have you ever realized the usefulness of these responses?

It is an area you need to take care of. Why?

We can term it as foundational risks. ChatGPT can only work based on its data and cannot be sentient.

  • Hallucinations
ChatGPT limitations

Ask this bot, ‘Tell me about you?’.

It readily gives you an answer that reads, I do not possess consciousness, emotions, or self-awareness.

This is enough to discern that what is sent inside a bot is not easily comprehensible.

ChatGPT can only find a match for a query and not context to find a response.

In many instances, it tries to make up responses despite insufficient data in its language model. As a result, it hallucinates and gives answers that are not factual and only mislead.

  • Black box theory

Most machine learning models follow black box theory. So, does ChatGPT.

It is a concept across the AI world used to build algorithms in which no explainability is available as to how a machine produces outcomes or gives predictions.

A lack of explainability increases challenges for companies if they need to make important business decisions. Unfortunately, in many cases, any predictions made by black box models can be wrong and cause businesses irreparable damage.

For example, if you want to predict some candidate’s eligibility for loan applications, you may make mistakes depending on the results from black box models.

  • Exposure of sensitive data (Data leakage)

It is common for employees to provide contact details or client details when they want to create a business email or any project proposal.

This is highly risky for you and your client as you expose confidential data into the model and breach the data security trust.

For example, you have a client project for a cloud consultancy service provider to help them withemployee support automation,

Chances are your team is using ChatGPT to create many project communications resources while providing client details such as their business process, objectives, future project plans, etc.

Nobody wants their confidential information to be exposed to the third-party service environment.

US-based communications giant Verizon, financial service leader JPMorgan, and many other big companies have restricted their employees' use of ChatGPT at work.

Verizon said they could lose ownership of client data if data is readily available in a democratized platform like ChatGPT.

That’s the primary security attack on your company that can occur inadvertently and have serious consequences on your relationship with your future customers. But the secondary ones, as we call them, are intentional malicious attacks. Cybercriminals or attackers find ChatGPT more of a convenient tool to create more sophisticated bot attacks.

  • Misinformation

GPT 4, or Generative AI, is known for creating coherent and realistic text-based resources, codes, and images.

Using a similar advancement in text generation, cybersecurity attackers can create fake stories instantly that sound quite real.

The consequences of misinformation are always unpleasant.

  • Impersonation

More advanced versions of cybersecurity attacks are impersonations. Deepfake technology has already been there to create fake profiles.

Now, attackers can pose as real people or the owners of accounts and intrigue other people on the chat or communication to gain trust.

If an attacker gains access to confidential company information or launches a targeted attack, we can foresee the results of this miscreant act.

  • Phishing attacks

Engineered emails earlier were easy to detect because of the gaps in the format or structure. However, attackers use ChatGPT to create more convincing and personalized communication emails. They can appear to be more like authorized emails or communications, forcing users to accept them and perform actions targeted to gain access to sensitive information or siphon off money.

  • Polymorphic malware attacks

Generative AI can be helpful for attackers to create malware codes and avoid relying on third-party services.

In addition to creating malware codes easily, advancements in Generative AI allow these attackers to recognize and bypass security controls by creating polymorphic malware that constantly changes its codes yet keeps its functionality intact. As a result, these malware bots can easily trick the security systems and impact the business’s security.

  • Impersonation

The rate of API use has doubled over the years.

This is perhaps a golden opportunity for attackers to take advantage of reverse engineering, usually practiced by companies, to disassemble software or hardware and detect vulnerabilities in these components.

Similarly, API attacks involve the same logic. Since reverse engineering takes time, attackers can easily use Generative AI's help and expose it to API documentation to reveal any vulnerabilities and cause attacks.

Things are such that secondary security risks may look less vulnerable for you. And you are more serious about the primary risks rather than the latter. When you use ChatGPT for internal processes, you cannot ignore the chances of vulnerabilities from secondary risks, too.

Anyone can impersonate you, send an official email, make some unusual announcement (for example, a layoff mail), and create a stir.

These tools are tempting to use to get a competitive advantage. At the same time, it is essential to become more responsible while using them for business processes.

Knowing the importance of security controls, many companies do not have robust security measures and tend to comprise guardrails and violate regulator compliance.

The challenges of proper security controls for ChatGPT or Generative AI

why security is challenging with ChatGPT

Fraud is nothing new. It was there. The only difference is that it scales fast with new technology advancements, such as Generative AI or ChatGPT.

It certainly means companies need a better risk management strategy.

However, the existing and new challenges can stall how you want to build your security controls for ChatGPT or any Generative AI deployment.

  • Deliberate delays

Like everything else, you only make plans to accomplish them but never come to the point of materializing them. It’s no different to procrastination.

Even though you realize the significance of business security, you keep delaying the implementation of security measures for applications or assets your employees use.

Having just one or two sessions on security awareness programs cannot help.

Businesses must have security tools that prevent data theft. But business keeps delaying this important security needs.

  • Complexity to understand the security needs

Scrutinizing security is an area that needs specialization to perform it deftly. It is not the job of any stakeholder. Only specialists like security officers can provide insights and offer better implementation ideas for risk management.

Unfortunately, not every business is ready to add extra budget to the bottom line to recruit a new risk officer.

  • Complex change management

When a new technology comes up, the foremost task is to ensure that your people are flexible enough to use the technology. But, lack of proper training can only add to the misuse of the technology, resulting in security risks.

At the same time, businesses cannot comfortably bring in change management, impacting overall business performance.

Workativ 一 A better and more secure alternative to ChatGPT for your workplace support

Workativ a better alternative to ChatGPT

Workativ, no-code conversational AI platform, is an efficient tool to help you achieve a competitive advantage with large language models or Generative AI.

It certainly does not work the way you want with ChatGPT to write codes or generate new emails or business proposals for you.

However, our conversational AI chatbot enables your internal team to work faster, more efficiently, and effectively using the same GPT properties embedded in our Knowledge AI feature, built to accelerate the pace of knowledge discovery and make information easily accessible for people to work.

Using our Knowledge AI feature, you can do many things that make your business efficient and resilient. They include,

  • - Building automated workflows for tier-1 support with self-serve FAQs or coherent responses retrieved through LLM-powered knowledge bases
  • - Streamlining existing work more efficiently
  • - Allowing employees to find information at their fingertips
  • - Helping your agents save time and focus on critical business processes
  • - Increasing employee efficiency, engagement, and long-term advocacy

Relying on Workativ’s conversational AI, many leading organizations have reaped the benefits of employee support automation.

Automate your employee support with Generative AI.

Learn how Workativ helped the GoTo team to auto-resolve repetitive IT queries, issues, requests, and improve their employee experience using Generative AI..

So, why Workativ and not ChatGPT could be an easy iterative for your highly ambitious workplace support automation project?

  • 1. Customization flexibility

Let’s know that ChatGPT, the general purpose model, is closed-source.

You can only use it as is. There is no way to tweak its underlying GPT architecture and implement your customization needs.

In contrast, Workativ gives you access to its Knowledge AI platform. You can easily use it to upload your content and build your customized knowledge bases or KB.

It means you can have KB articles based on your domain-specific needs and give answers to your employees accordingly to help them find information and work at scale.

No matter what use cases are significant for your business processes, you can create as many articles as you need to help with IT and HR support.

Another interesting advantage is that Workativ is a no-code and SaaS-based platform.

So, you are free from any bottom-line expenses you were to otherwise take care of in the case with ChatGPT.

There’s no need for a development team with experts such as AI specialists or data analysts to work with our platform. Any non-technical person can easily work with our system and deploy it.

  • 2. Up-to-date KB

As you grow, your business processes may also change. You must implement unique solutions, necessitating the change in the KB articles, too. LLM-powered Knowledge AI gives you astounding abilities to update your KB with features like delete and edit.

As a result, your employees can always have the latest information to tackle unique workplace challenges.

On the contrary, ChatGPT has a cut-off date up to September 2021, meaning it is trained on with data up to that time period. If anything is beyond that timeframe, ChatGPT cannot answer. Also, it won’t be able to give you domain-specific answers, which you need to solve your business-related queries or problems.

  • 3. Flexible change management

Even though it is a whole new tool for your people and process at the workplace, Workativ’s conversational AI seamlessly integrates with your employees’ familiar and favorite communication and collaboration platforms.

Workativ gives you the ability to build your help desk or service desk workflows for Microsoft Teams.

Similarly, you can build workflows for Slack.

You get the best of both worlds 一 conversational AI and Generative AI in one integrated platform to increase employee productivity and seamlessly help nurture change management.

  • 4. Top-notch security

When it comes to security, we are responsible for it.

We have robust security controls in place. Our conversational AI platform uses end-to-end encryption in the chat interface, meaning no chat is exposed to third-party users. So, business information or any confidential data is 100% safe.

Our platform is compliant with GDPR or HIPPA protocols. We do not store users’ information for commercial use. On top of it, we provide spam and malware protection.

Again, you gain cost efficiency by not having to worry about hiring a risk officer in security maintenance for Generative AI in your workplace.

To learn more about our LLM-powered Knowledge AI, visit our pageand discover your opportunities to get a competitive edge.

Conclusion

Businesses are eagerly ready to try ChatGPT into their workflows or more into customer support platforms to automate mundane work and maximize productivity. But, it is never at the cost of your business security. ChatGPT general-purpose bots can easily hallucinate or misinform a user.

A more robust security strategy is essential if you want to use it for your business processes.

At the same time, if you aim to have GPT benefits while transforming your business through better productivity, employee engagement, and customer experience, LLM-powered Knowledge AI can benefit your business goals.

Want to learn more and reap real business outcomes, schedule a demo today.

Auto-resolve 60% of Your Employee Queries With Generative AI Chatbot & Automation.

Deepa Majumder

Content Writer

Deepa Majumder is a writer who nails the art of crafting bespoke thought leadership articles to help business leaders tap into rich insights in their journey of organization-wide digital transformation. Over the years, she has dedicatedly engaged herself in the process of continuous learning and development across business continuity management and organizational resilience.

Her pieces intricately highlight the best ways to transform employee and customer experience. When not writing, she spends time on leisure activities.