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ESET World 2025: Staying protected with MDR

Márk Szabó

Discover what round-the-clock security means with James Rodewald, as he explains what makes ESET MDR the security service to get.

ESET World 2025 was an event that brought together top cybersecurity experts from all walks of life, so you’d expect tangible examples of what makes a business really stay secure. That’s exactly what James Rodewald, security monitoring analyst at ESET did.

During the session titled “Staying protected with ESET MDR,” Rodewald pointed out the critical pain points of IT admins and how managed detection and response (MDR) saves them time and unlocks new efficiencies, as well as sharing a story about a VPN gone rogue.

Day in the life of an IT admin

Usually, IT admins need to split their focus between many areas, and security is just another small part of their tasks, often getting less attention than necessary.

Of the many issues surrounding a company’s cybersecurity, their budgets are a key concern — proper security operations centers (SOCs) can be pricy, as covering hundreds of seats takes time and effort. Some companies assume that having two people cover an entire SOC’s capabilities is enough though, but Rodewald strongly disagrees: “They wouldn’t be able to monitor 24/7. … If something happens while they’re asleep or possibly on vacation, that could be really bad.”

While Rodewald doesn’t want to deter IT professionals from trying, he highlights that there are certain gaps that only security experts can fill: “IT admins are smart. They’re great at what they do. They make these beautiful systems that all communicate with each other — and that’s amazing. But sometimes they don’t know how to notice when somebody else is maliciously managing their network. And that’s where the dangers come in.”

ESET MDR to the rescue!

Securing added resources for IT admins to fight threats while they take care of daily tasks is what ESET MDR offers in spades. This is rather helpful for smaller businesses lacking security headcount within their IT departments, quickly leveling up their postures. “It’s like you set it and forget it. … Customers want somebody to monitor and be notified if something happened, what we did to remediate it, are there any actions they need to take,” said Rodewald about the service.

ESET MDR is a 24/7 threat management service for smaller organizations, using AI and human expertise for premium protection without in-house security specialists. Let ESET block, stop, and disrupt malicious behavior in just 20 minutes while you focus on core competencies.

While a basic MDR service can offer enterprise-grade security, with monitoring performed by earnest experts trained to stop security incidents (using top threat intelligence to empower their decisions), a lot more can be done for complex environments with a larger footprint. These environments need a specific approach, slotting in naturally to the existing security apparatus of a larger organization.

As Rodewald said, ESET MDR Ultimate (MDRU) is “for those customers that want to live with us in real time as we monitor their environment … benefits range from custom rule and alert creation, [to] optimizing the security environment … to finding unprotected devices, etc. So, across the range of these activities, we drive both operational and process maturity, help with remediation, and even flag those unprotected devices, sadly an all-too-common source of threats.”

ESET MDRU perfectly combines ESET technology and digital security expertise to effectively and proactively detect and respond to any threat. It is a tailored service, acting as a SOC-like security umbrella, with the ability to protect sophisticated environments with dedicated security teams.

Rodewald also highlighted ESET MDRU’s reports, explaining how the process is more human, connecting experts from both sides to design better protection rules and mechanisms in tandem, which adds even more value.

Maintaining 20 minutes to detect

The ESET MDR service tier maintains a 20-minute time to detect for all customers — currently having a 1-minute time to react and around a 5-minute time to resolve an incident. This is owed to 24/7 SOC-like monitoring, with our MDR teams constantly improving their decision-making processes with every single detection.

To achieve this fast detection and response rate, Rodewald elaborated on ESET MDR’s training regime: “The way we train is to ask the question, could we have spotted this sooner? Because if we can improve, then we want to improve. Also, would you be able to identify this [threat] if you saw it in the wild?” Relevant teams also examine research so they might better identify issues they hadn’t yet encountered.

As a result, ESET’s MDR teams can actively isolate false positives from real detections, apply novel incident response playbooks as needed, and manage trainings to keep analysts up to date on threats. For in-house teams (especially IT generalists), this might be a tough nut to crack, but it’s the vicious cycle that ESET security monitoring analysts are trained for.

Storytime with James

In a story about an ESET MDRU success, Rodewald spoke of how a VPN gone rogue led to FIN7 getting on a business’s network. The company in question, which owns a large network with multiple sites globally, was unknowingly breached prior to onboarding its ESET service (at least two to three months before). While it had an XDR solution employed, no one was monitoring it — a recipe for disaster.

Before the storm

In the beginning, someone had used PowerShell to create an external network connection, leading to a renamed remote monitoring and management (RMM) tool being installed (LiteManager). The PowerShell also had an interesting script called “PowerTrash,” which was over 6,000 lines long.

Next, the RMM tool, renamed to romfusclient.exe, started another execution chain to install an OpenSSH backdoor: “This backdoor would communicate with a remote C&C [command-and-control] server and allow whoever was in control to tunnel through this device to target other devices on the network,” said Rodewald.

How ESET MDRU helped

Shortly after ESET MDRU’s onboarding, monitoring picked up on lateral movement via remotely scheduled tasks — another instance of PowerTrash was being executed: “Its goal was to dump credentials and load Spy.Sekur into memory. At this point, we knew it was FIN7 because Spy.Sekur is only used by FIN7, and PowerTrash, I believe, is also exclusive to FIN7,” commented Rodewald. The latter was 41,000 lines of code, much longer than the previous instance.

“We started to see other lateral movement as we were creating custom rules to block things. … And we started to see this via both remote tasks and WinRM. We saw that their goal this time was to execute a batch file to execute a renamed version of RClone.exe in order to back up the file shares of the network and then use a renamed copy of 7-Zip to compress that all before they would then exfiltrate it,” Rodewald continued.

Killing and blocking

The MDR team then started to kill and block these processes while creating custom rules to disable them permanently. Nevertheless, this was happening across multiple devices, with multiple forms of lateral movement.

Since the MDR team had the source IPs of each of those movements, it understood that it had to locate unprotected devices in the customer’s environment because they weren’t showing up inside ESET PROTECT or ESET Inspect as being managed. “So, we’re on the phone at this point, and I’m having them remote me directly into these devices so I can see what’s going on. We found OpenSSH backdoors on multiple different devices — we needed to either have the client cut them off the network, or I needed to manually remediate the[m],” said Rodewald.

However, the adversary wasn’t done. Likely panicking as they were losing access, they dropped a new tool: “It was a never-before-seen DLL side-load!” exclaimed Rodewald. While the .exe may have been seen in the wild before (TopoEdit) it included a malicious DLL.

“They were trying to stay on the network. … We spotted that in less than 30 seconds,” said Rodewald with a smile. Thus, the MDR team blocked the clean .exe and the DLL and remediated it from about six or seven other devices, all within the same time frame.

Back to the origin

In parallel, the team became curious to investigate how initial access occurred: “We started pulling logs from devices, trying to find the trail of events … so we were doing digital forensic [incident] investigation.” Before they got too deep into that investigation, the threat actors showed their cards: Someone was using Remote Desktop Protocol (RDP) from private IPs to access different devices and immediately installing AteraAgent with Splashtop — two other RMM tools.

However, these IPs were on a specific subnet that was different from other devices on the network, which were quickly confirmed by the business’ admin as addresses assigned by the client’s VPN.

“Their VPN appliance was compromised. They had rogue devices owned by the threat actor joining the VPN and then RDPing to other devices,” Rodewald revealed. Hence, the MDR team had the company shut down its VPN, with no new activity since, though it is still being monitored.

This story highlights how thanks to the close-knit cooperation enabled by the ESET MDRU service, immediate action was taken, quickly developing new playbooks and security strategies for the client to prevent future incidents.

Prevention-first security

The key value of ESET’s MDR services lies in its prevention-first quality. With each of ESET’s managed services tackling different company architectures, the goal is the same — unlocking fast detection and almost immediate remediation, tackling novel threats before they can cause mischief.

Plus, as evidenced by Rodewald’s rogue VPN story, perhaps going for a managed service even while experiencing a compromise can enable businesses to snatch a security win from the creeping tentacles of a breach.

 

 

About ESET
For 30 years, ESET® has been developing industry-leading IT security software and services for businesses and consumers worldwide. With solutions ranging from endpoint security to encryption and two-factor authentication, ESET’s high-performing, easy-to-use products give individuals and businesses the peace of mind to enjoy the full potential of their technology. ESET unobtrusively protects and monitors 24/7, updating defenses in real time to keep users safe and businesses running without interruption. Evolving threats require an evolving IT security company. Backed by R&D facilities worldwide, ESET became the first IT security company to earn 100 Virus Bulletin VB100 awards, identifying every single “in-the-wild” malware without interruption since 2003.

About Version 2 Digital

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

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About Perforce
The best run DevOps teams in the world choose Perforce. Perforce products are purpose-built to develop, build and maintain high-stakes applications. Companies can finally manage complexity, achieve speed without compromise, improve security and compliance, and run their DevOps toolchains with full integrity. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce is trusted by the world’s leading brands to deliver solutions to even the toughest challenges. Accelerate technology delivery, with no shortcuts.

About Version 2 Digital

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

Why AI ransomware is a new type of threat

Ransomware isn’t what it used to be

The origins of ransomware go back to the late 1990s, when the blueprint for an attack first took shape—using malicious software to block a user’s access to a computer system or encrypt their data, then demanding payment to restore it.

Over the years, ransomware attacks have become increasingly sophisticated. In the mid-2000s, cybercriminals relied on fake ads and deceptive websites to trick users into downloading ransomware-infused antivirus software. Later on, ransomware evolved into worm-like threats capable of spreading rapidly across organizational networks.

Fast forward to today, and we’re dealing with AI-powered ransomware. So, it’s no longer just about scrambling files—it’s about smart, targeted attacks that are harder to detect and even harder to stop.

What is AI-powered ransomware, exactly?

In short, AI-powered ransomware is about using AI or machine learning (ML) algorithms to automate, speed up, and improve every stage of a ransomware attack.

It starts with how AI-driven malware sneaks onto users’ devices. Not only can it quickly identify weaknesses in IT systems by exploring thousands of options at once, but it can also use advanced deepfake tactics to trick people into revealing sensitive information, like their business credentials.

Once inside, this type of ransomware can move through systems undetected, intelligently prioritizing which files to encrypt based on their value. The result is a smarter, faster, and far more effective form of ransomware compared to traditional attacks.

3 reasons why AI ransomware is so dangerous

By now, it’s probably clear that AI-powered ransomware is no joke—it’s a serious threat to both organizations and individuals. But if you’re still on the fence—or just want to understand the issue a bit better—let’s take a closer look at how AI ransomware works and what makes it so effective.

Automated attacks with high efficiency

Before AI, ransomware attacks had to be controlled manually from start to finish. But with AI, these attacks can now run on their own, working autonomously to reach their goal. They even use bots to contact victims, avoiding human-to-human communication altogether, which adds to the tension by forcing targets to interact only with a machine.

With the ability to analyze far more data than any living creature, AI can handle thousands of tasks at once, finding its way into systems and causing chaos, all without any human involvement. And let’s not forget that AI never gets tired, so these attacks can keep going as long as they need to. Unlike a human, artificial intelligence won’t get frustrated or lose motivation if things aren’t working right away.

Enhanced targeting and personalization

AI-driven ransomware attacks use machine learning to sift through public sources like social media and corporate websites, identifying valuable targets and learning more about them in the process. With this information, AI can later craft highly personalized phishing emails or ads, often using social engineering techniques to manipulate key staff into divulging sensitive data.

What’s even more concerning is the rise of deepfake technology. Attackers can now create convincing audio and video material, making it seem like a trusted family member or colleague is reaching out. This makes it easier for victims to divulge confidential details because they believe they’re communicating with someone they know.

Real-time adaptation

A target not on the hook? Not buying into the ransomware attack? Are they being extra cautious, trying not to slip up and expose their systems? It doesn’t matter to the AI behind the attack, which keeps watching and learning. With every interaction, it gets smarter and quickly figures out what it needs to do to get the victim to drop their guard.

An AI ransomware attack isn’t your average cyber threat. This malicious software can adjust to any situation on the go—all it needs is data to learn from, and then it can shift its tactics when needed. Where a human hacker might give up and move on to another target, AI never calls it quits.

 

Key strategies for mitigating AI-powered ransomware

Let none of what we’ve discussed so far make you feel powerless against AI-powered ransomware. There are smart, practical steps your business can take to stay protected and lower the risk of getting hit by an AI-powered attack. Here are a few to consider:

Run security checks regularly

This might seem like an obvious one, but we can’t stress enough how essential it is to objectively assess your company’s cybersecurity level on a regular basis. Think about it—your team is probably using a wide range of platforms and services to keep things running, and each one could be a potential entry point for cybercriminals if not properly secured. That’s why having strong monitoring and intrusion detection systems in place is so important.

You might also consider leveraging AI—after all, cybercriminals shouldn’t be the only ones using it, right?—to analyze your IT environment for unusual activity. This could help you identify threats like ransomware early, before they have a chance to do any damage.

Develop an incident response plan

Let’s be real—even with the best tools and real-time monitoring in place, there’s still a chance your company could face a cyberattack. Maybe an employee slips up, or someone forgets to secure a new piece of software. Whatever the reason, what matters most in that moment is having a clear plan of action.

That’s where an incident response plan comes in. It’s essentially a set of rules that outlines exactly what your team should do if you’re hit with an AI-powered ransomware attack. According to the National Institute of Standards and Technology (NIST), a solid incident response plan should cover 4 key areas: preparation, detection, containment, and recovery. If you’ve got those bases covered, you’ll be in a much better position to minimize damage and prevent similar incidents from happening again.

Raise awareness by training your employees

Like we mentioned earlier, human error can still play a big role—even if you’ve got all the right cybersecurity tools in place. That’s why it’s so important to have open conversations with your team and run regular training sessions. These should cover how to spot AI-generated scam messages and other sneaky tactics that might be used in a ransomware attack.

Make those trainings relatable. Use real-life examples to show how these attacks can play out, then offer practical tips your team can actually use—so they feel confident, not paranoid, when using company systems. The goal isn’t to scare them, but to empower them to make smart, informed decisions that help keep everyone safe.

How NordPass can help

While not specifically an AI ransomware prevention tool, NordPass can significantly enhance your company’s cybersecurity and reduce the risk of threats like ransomware.

At its core, NordPass is a password manager that uses XChaCha20 encryption to keep your team’s logins, credit card details, and other sensitive information safe and easy to share internally. It also gives you greater control over who in your company has access to which resources and supports features like multi-factor authentication, so even if attackers somehow got hold of a password, they still can’t break in.

But NordPass isn’t just about password management. It offers additional features like Email Masking to hide your real email when signing up for services, and Data Breach Scanner that alerts you if your company’s data is found in a breach. It even allows you to ditch traditional passwords in favor of passkeys, a more secure, phishing-resistant login method. These tools help reduce your company’s digital footprint and limit the exposure that AI-driven threats could exploit in a ransomware attack.

For a quick assessment of your company’s data exposure, you can use NordPass’s free online tool to check if your data has been compromised. But for long-term protection, try the full NordPass version so your team can stay secure and make smart cybersecurity choices every day.

About NordPass
NordPass is developed by Nord Security, a company leading the global market of cybersecurity products.

The web has become a chaotic space where safety and trust have been compromised by cybercrime and data protection issues. Therefore, our team has a global mission to shape a more trusted and peaceful online future for people everywhere.

About Version 2 Digital

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

ChatGPT security risks: Is it safe for enterprises?

Summary: ChatGPT security risks include data leaks, AI-powered phishing, and compliance issues. Learn how enterprises can mitigate threats and use AI safely.

ChatGPT is transforming enterprise workflows, but its rapid adoption raises serious security concerns. While artificial intelligence (AI)-powered chatbots streamline tasks and boost efficiency, they also introduce new risks—such as handling sensitive data, generating misleading content, and unknowingly enabling cyber threats. With 74% of breaches involving social engineering, attackers increasingly exploit AI-generated interactions to deceive users.

As artificial intelligence tools like ChatGPT become more advanced, enterprises must be proactive in securing their use of AI. This article will answer the question: “Is ChatGPT safe?”, explore real-world incidents, and outline best practices to keep you away from risks.

The advancing role of AI in business security

As businesses integrate AI chatbots into customer support, internal operations, and even cybersecurity processes, the technology becomes both an asset and a target. AI-based technologies can strengthen security by detecting threats, automating compliance, and improving fraud detection. But, they can also introduce risks if misconfigured or maliciously exploited.

For example, AI-driven security tools can analyze vast amounts of data to detect anomalies, helping prevent breaches before they occur. However, bad actors also use AI to automate cyber-attacks, generate convincing phishing emails, and bypass traditional security measures. The challenge for enterprises is to ensure that AI strengthens security rather than becomes an entry point for attackers.

By understanding both the advantages and vulnerabilities of ChatGPT adoption, organizations can implement the right strategies to harness its power safely.

Key ChatGPT security risks

As AI adoption accelerates in the enterprise space, so do the security risks associated with tools like ChatGPT. Understanding these risks is crucial for businesses to implement effective safeguards.

ChatGPT security risks

 

1. Exposure of sensitive data

One of the greatest risks of using AI chatbots is the accidental exposure of sensitive data. Employees may input confidential information, customer records, or proprietary strategies into the chatbot without realizing that OpenAI or third-party providers might store or analyze this data. This can lead to compliance violations and unintended data leaks.

2. Social engineering attacks

Threat actors can use ChatGPT to craft highly convincing phishing emails or impersonate legitimate users in real-time conversations. Cybercriminals may use AI-generated content to trick company employees into revealing login credentials, financial details, or other sensitive data.

3. Data breaches and unauthorized access

Since ChatGPT interacts with users and processes large amounts of information. If APIs and integrations aren’t properly secured, organizations can be exposed to data breaches. If an attacker gains access to stored chatbot interactions, they could retrieve valuable internal data.

4. Data poisoning and AI manipulation

Attackers can attempt data poisoning—feeding malicious or misleading information into AI models to alter their behavior. If enterprises rely on AI-generated insights, manipulated data could lead to false business decisions or even reputational damage.

5. Malicious code generation

Cybercriminals can exploit ChatGPT’s ability to generate code by using it to create malware, ransomware, or exploits. While OpenAI has implemented safeguards, threat actors may still find ways to bypass these restrictions. In fact, purpose-built malicious AI tools have already emerged, designed specifically for generating harmful code without ethical limitations.

6. Regulatory and compliance risks

Industries such as healthcare, finance, and legal services are subject to strict data privacy laws like GDPR, HIPAA, and CCPA. Enterprises using AI tools must ensure that chatbot interactions do not violate these regulations, particularly when handling personal or financial data.

7. Risks of Large Language Models (LLMs)

ChatGPT runs on a Large Language Model (LLM), an advanced AI system trained on vast amounts of text data to generate human-like responses. It can unintentionally produce misleading information or fabricate sources due to their open-ended nature. They are also vulnerable to prompt injections, where malicious inputs are used to manipulate the model’s responses.

By recognizing these security threats, organizations can take a proactive approach to lowering AI-related risks. Whether securing sensitive data, preventing unauthorized access, or addressing compliance challenges, businesses must remain aware of security threats.

ChatGPT’s security features: Safeguards and limitations

While ChatGPT security risks are a growing concern for enterprises, OpenAI has implemented several safeguards to mitigate potential threats. These include content filtering, prompt moderation, and ethical use policies designed to prevent malicious applications such as generating harmful content, phishing emails, or malware. Additionally, OpenAI continuously refines its model to reduce bias, misinformation, and unintended data leakage.

However, these safeguards have limitations. Threat actors test ways to bypass restrictions, using indirect prompts or fragmented queries to elicit restricted information. ChatGPT also lacks full context awareness. It cannot verify the accuracy of its outputs or detect when users manipulate its responses. While OpenAI does not retain chat history for training, enterprises must still assume that any data entered could be processed externally. This makes strict data governance policies a must.

Despite these measures, organizations can’t solely rely on ChatGPT’s security features to safeguard sensitive information. Implementing enterprise-grade security controls, such as access restrictions, API security, and AI monitoring solutions, remains essential in preventing unauthorized data exposure or AI-driven cyber threats.

 

Real-world examples of ChatGPT-related threats

AI-powered tools like ChatGPT are already shaping business operations, but their rapid adoption has led to security incidents that highlight potential risks. From accidental data leaks to AI-enhanced cybercrime, enterprises have faced real-world consequences when using these tools without proper safeguards.

The following cases highlight how weak ChatGPT security can expose sensitive information or even allow malicious actors to exploit it.

Samsung’s data leak

In 2023, Samsung Electronics faced a significant security incident when employees inadvertently leaked confidential company information through ChatGPT. Engineers from Samsung’s semiconductor division used ChatGPT to help debug and optimize source code. Unknowingly, they entered sensitive data, including proprietary source code and internal meeting notes, into the AI tool.

Since ChatGPT retains user inputs to refine its responses, this action risked exposing Samsung’s trade secrets to external parties. This event shows why companies need stringent data-handling policies and employee training on how to use AI tools in corporate environments.

AI-powered phishing campaigns

Cybersecurity researchers have observed that AI-generated phishing emails are not only more grammatically accurate but also more convincing, making them harder to detect. Moreover, AI is now used to craft deepfake voice scams. For instance, 2025 predictions warn of AI-driven phishing kits bypassing multi-factor authentication (MFA) and mimicking trusted voices via voice cloning.

A study highlighted by Harvard Business Review revealed that 60 % of participants were deceived by AI-crafted phishing messages, a success rate comparable to those created by people. This trend highlights the escalating challenge enterprises face in protecting employees from such deceptive tactics. ​

Fake customer support bots

Scammers have begun deploying AI-driven chatbots that impersonate real customer service representatives. These fraudulent bots engage users in real-time conversations, persuading them to hand over sensitive information such as passwords or payment details.

For instance, reports indicate that these AI chatbots can convincingly mimic the communication styles of reputable companies, leading unsuspecting customers to trust and interact with them.

This exploitation of AI technology shows why businesses must authenticate their customer communication channels and educate consumers recognize legitimate support interactions.

Best practices for safely using ChatGPT in enterprises

As real-world incidents show, organizations must recognize that while AI improves efficiency, it also requires thoughtful management to prevent misuse. To minimize risks, enterprises should adopt proactive security measures that ensure AI-powered tools are used safely.

How to use ChatGPT safely

The following best practices can help businesses leverage AI’s benefits while protecting sensitive information from unauthorized access, cyber threats, and compliance violations.

1. Implement strict data policies

Based on the recent mimecast cybersecurity report, human error remains the main cause of data breaches and cyber incidents. Employees may unknowingly expose sensitive information or interact with AI-generated responses containing malicious code, increasing the risk of security compromises.

To mitigate this, organizations should integrate automated Data Loss Prevention (DLP) tools to detect and block unauthorized data inputs into AI systems. Regular training, policy reinforcement, and security audits will help ensure compliance and minimize accidental data leaks.

2. Enable access controls and monitoring

Limit ChatGPT usage to authorized personnel by integrating it with Role-Based Access Controls (RBAC) and enterprise authentication systems. Implement logging mechanisms to track AI interactions, helping detect anomalies or potential data leaks. Regularly review access logs to ensure compliance with security policies and swiftly address unauthorized activities.

In addition, consider enablin gmulti-factor authentication (MFA) for high-privilege users to further restrict access to AI tools. By combining access controls with real-time monitoring, enterprises can mitigate insider threats and ensure AI usage aligns with security best practices.

3. Use AI detection tools

Deploy AI-driven security solutions to detect and mitigate threats like AI-generated phishing emails, cyber-attacks, or malicious chatbot activities. Advanced threat detection tools can flag suspicious patterns, such as unusual chatbot queries or high-risk prompts, to prevent potential cyber risks before they escalate.

These tools can be integrated with Security Information and Event Management (SIEM) platforms to provide real-time alerts on suspicious AI interactions. Additionally, setting up behavioral analytics can help identify unauthorized attempts to manipulate ChatGPT for malicious purposes, adding an extra layer of protection against AI-enabled threats.

4. Regularly update AI security settings

Ensure that all chatbot integrations comply with industry security standards, including ISO 27001, SOC 2, or GDPR, where applicable. Apply security patches and updates to address vulnerabilities and protect against threats. Conduct routine security assessments to identify weaknesses in chatbot configurations and AI-driven workflows.

Organizations should also perform penetration testing on AI integrations to uncover potential security gaps before they can be exploited. Establishing a structured incident response plan specific to AI security will further enhance the organization’s ability to mitigate risks and react swiftly to potential breaches.

5. Restrict external API access

If integrating ChatGPT into enterprise applications, secure API endpoints using authentication tokens, IP allowlisting, and encryption to prevent unauthorized access and data exfiltration. Implement rate limiting and anomaly detection to identify potential abuse or credential stuffing attacks targeting AI-powered APIs.

Additionally, establish a least privilege access model, ensuring that APIs only provide the minimum necessary data to function. Regularly rotate API keys and monitor unauthorized access attempts. This can further strengthen defenses against API-related threats.

6. Train employees on social engineering risks

People are the first line of defense. Conduct cybersecurity awareness programs to help employees recognize AI-generated phishing emails, deepfake scams, and impersonation tactics. Use simulated phishing exercises and real-world case studies to build awareness.

Employees should also be trained to identify signs of malicious code embedded in chatbot responses or AI-generated links. Encourage a Zero Trust mindset, where verification is prioritized over assumption in all AI-assisted communications.

By adopting these best practices, enterprises can strike a balance between AI-driven efficiency and robust security. Proactive governance, continuous monitoring, and employee awareness are key to using AI safely without compromising sensitive information.

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How NordLayer supports secure enterprise environments

While NordLayer doesn’t directly address AI-specific risks, but it plays a crucial role in protecting the broader network environment where AI tools like ChatGPT are used.

Solutions like Secure Web Gateway, Cloud Firewall, and Zero Trust Network Access (ZTNA) help safeguard against phishing, malicious code delivery, and unauthorized access—common threats that can be amplified by AI-driven tools.

By enforcing strong access policies and maintaining network visibility, NordLayer helps organizations stay secure and compliant while exploring AI technologies.

 

Why choose NordLayer?

  • Secure network infrastructure: Keeps your data safe when accessing or integrating AI tools
  • Zero Trust security: Ensures only authorized users access critical resources
  • Threat intelligence: Detects and mitigates phishing, malware, and AI-driven social engineering attacks
  • Compliance-ready solutions: Helps organizations meet NIS2, CIS Controls, HIPAA, and other key industry frameworks

 

Conclusion

AI-powered tools like ChatGPT offer numerous advantages for enterprises but also introduce significant security risks. From data leaks and cyber-attacks to regulatory concerns, organizations must take proactive measures to safeguard their operations.

By following best practices and using network security solutions like NordLayer, businesses can securely integrate AI chatbots while minimizing potential threats.

 

About NordLayer
NordLayer is an adaptive network access security solution for modern businesses – from the world’s most trusted cybersecurity brand, Nord Security.

The web has become a chaotic space where safety and trust have been compromised by cybercrime and data protection issues. Therefore, our team has a global mission to shape a more trusted and peaceful online future for people everywhere.

About Version 2 Digital

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

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