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4 AI-powered cyber threats and why AI cybersecurity is the most effective response

  • By Gcore
  • December 17, 2024
  • 4 min read
4 AI-powered cyber threats and why AI cybersecurity is the most effective response

AI is shaping every aspect of our digital lives, including cybersecurity. What was once a field dominated by human ingenuity and manual processes has now become a battleground of algorithms and machine learning systems. The transformative power of AI is undeniable, but it comes with a paradox: it’s both a shield and a weapon.

As 2025 unfolds, cyber threats and defenses are escalating in sophistication, with AI driving innovations on both sides. This article explores four ways that attackers are leveraging AI to launch advanced cyberattacks and how security professionals are using the same technology to counter these threats effectively.

4 AI-powered cyber threats on the rise

The potential of AI to cause harm mainly lies in its capability to make traditional attack methods faster, more efficient, and harder to detect. Four of the most popular kinds of AI-driven threats shaping the current face of cybersecurity are automated phishing campaigns, social engineering, zero-day exploits, and deepfake attacks. Let’s look at them in detail.

1. Automated phishing campaigns

Phishing has always been the foundation of online criminal activities for decades. It was also the most reported kind of cybercrime last year, with nearly 300,000 FBI complaints accounting for about 34% of all reported cybercrimes. Traditional phishing relies on sending generic emails in bulk, hoping a fraction of recipients will fall for the bait.

AI changes the game entirely. With the use of NLP, attackers study linguistic patterns, formats of company emails, and social media profiles of individuals to create very personalized phishing messages. AI tools can even emulate the writing styles of CEOs or colleagues, making such emails sound highly convincing. AI-powered phishing systems can improve by failing: once a tactic doesn’t pay off, the system refines the approach and tries again. This iterative process makes phishing campaigns more successful over time.

2. AI-enhanced social engineering

While social engineering has been based on the exploitation of human psychology for a long time, with AI, the tactics have become more sophisticated and widespread. By analyzing vast amounts of data from social media, online forums, and leaked databases, AI lets attackers build detailed psychological profiles of their targets.

Imagine someone calling you, stating your last vacation, naming your pet, and even timing their call to your next meeting. AI makes these manipulative interactions alarmingly personal to create a false sense of trust.

These tactics are not only a danger to individuals but also to organizations, where attackers manipulate employees who have access to sensitive information with the help of AI. One example is AI-driven voice cloning, which has been used to impersonate executives to sanction fraudulent transactions, successfully bypassing security measures that were in place.

3. Zero-day exploits and AI-generated malware

AI is reshaping the cybersecurity threat landscape by automating tasks that once required significant human expertise and time. In the case of zero-day exploits—vulnerabilities in software that developers aren’t aware of—AI can rapidly analyze massive codebases to identify weaknesses before they’re patched. This accelerates the timeline for attackers, reducing the window of safety for organizations.

Malware development has also evolved with AI-driven automation. A key example is polymorphic malware, which constantly changes its structure to evade traditional detection methods like signature-based antivirus systems. While older malware could be recognized by its digital fingerprint, polymorphic malware morphs frequently, making it harder for defenses to keep up.

4. Deepfake attacks

Deepfake technology leverages AI to create realistic but fabricated audio and video content. While it has legitimate uses in, for example, entertainment and education, it also introduces significant security risks by enabling convincing impersonations and disinformation campaigns.

Attackers can use deepfakes to impersonate key individuals in video or audio calls, facilitating fraud, corporate espionage, or spreading false information. For instance, a fake executive could authorize a fraudulent wire transfer or deliver false statements, causing financial or reputational damage. Or deepfakes could simulate a company spokesperson announcing fake news, triggering market instability or harming investor confidence.

AI as a cybersecurity ally: fighting fire with fire

To counter sophisticated AI-powered threats, the best defense is one that also involves AI. AI-powered cybersecurity solutions are faster, more accurate, and more adaptive than their predecessors. Predictive threat detection, real-time defense, and endpoint security are three powerful AI tools to counter the threats mentioned above.

Predictive threat detection

Unlike traditional systems, which depend on predefined rules, AI detects behavioral patterns. This makes it difficult for attackers to exploit static defenses.

For example, AI can analyze network traffic and identify abnormal behavior that could be the precursor to an attack. Using machine learning models, these solutions use historical data to predict potential threats before they happen.

Real-time defense

AI reacts instantly, giving it an upper hand over human-led defenses. Upon identifying any malicious activity, an AI system can automatically release deployment mechanisms like isolating affected devices or blocking malicious activities.

This is particularly important when trying to prevent AI-driven zero-day exploits before they cause serious harm. AI-driven zero-day exploits can spread rapidly due to their automated nature. Traditional security responses rely on human detection and intervention, which can be slow, leaving systems exposed. Since zero-day exploits target previously unknown vulnerabilities, there are no pre-existing patches or defenses. AI-powered defenses, however, can recognize unusual patterns of behavior in real time, even if the specific exploit is unknown. This speed and adaptability are crucial when dealing with zero-day exploits, where time is the most critical factor.

Endpoint security

AI-powered cyberattacks on laptops, smartphones, and IoT devices include personalized phishing, adaptive malware, and deepfake-based authentication bypasses. These attacks exploit device vulnerabilities, automate data theft, and enable network intrusions faster than traditional methods.

AI-powered endpoint detection and response tools monitor these devices continuously for any form of suspicious activity. AI can flag unusual behavior, like a device accessing sensitive files at odd hours or connecting to an unknown IP address. By detecting these vulnerabilities early, AI will be able to neutralize the threat before it has time to spread.

Best practices for leveraging AI in cybersecurity

To fully harness AI while minimizing risks, organizations should:

  • Keep the AI models current: It’s important to make sure your AI model, through constant updating, uses state-of-the-art threat intelligence technology; otherwise, its effectiveness is compromised as the attack vectors keep changing with time.
  • Embed AI into existing tool sets: Integration of AI with encryption and multi-factor authentication, among other security means, forms a strong multi-layered defense.
  • Embrace transparency: Invest in explainable AI systems where the security teams understand and trust the decisions taken by the AI.
  • Collaborate and share intelligence: Sharing AI insights across sectors will improve collective resilience to new emerging threats.

Embrace AI-powered cybersecurity to stay ahead of attackers

AI is changing the face of cybersecurity, empowering both attackers and defenders. Organizations must take concrete action to adopt AI-driven strategies or risk breaches by a new generation of AI cyber threats.

Gcore Edge Security uses AI to protect businesses from zero-day vulnerabilities, advanced malware, and other emerging threats. Gcore helps organizations stay one step ahead of attackers by combining real-time threat detection with predictive analytics.

Get AI-powered WAAP with Gcore

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Your ultimate guide to WAAP is here—get the ebook

Our latest ebook Beyond WAF: the ultimate guide to WAAP explores the next generation of cybersecurity and how WAAP can help businesses protect their digital assets.In 2025, a standard WAF (web application firewall) is no longer enough to detect threats and protect companies from malware and other malicious attacks. The rise of artificial intelligence, in particular, is increasing the volume and severity of cyberattacks. Businesses need to adopt WAAP to stay protected, and this ebook explains exactly how and why.What does the ebook cover?Here’s a quick overview of what you can look forward to when you download the ebook.The evolution of cyber threats: It can be hard to keep up with the latest advancements in cyberattacks, particularly with the increasing prevalence of AI—which can be both a boon and a menace. The ebook gives an overview of the cyberthreat landscape and how WAAP, which uses advanced AI to detect threats, consistently monitors and mitigates new and evolving types of attacks.The most common types of threats in 2025: To keep your web applications and APIs protected, it’s important to know what the risks are. The ebook explores different methods that hackers use—such as SQL injections, zero-day attacks, and DDoS attacks— as well as the consequences of such breaches.The non-negotiables of a cybersecurity solution: When looking for a security solution, it may be tempting to cut corners but the potential damage in terms of financial and reputational harm is too big to risk. The ebook explores what’s not up for debate when deciding on a security solution.You’ll also discover real-world use cases, expert security tips, and advice on just how easy it is to implement WAAP into your existing security setup.Discover more about how WAAP can help your businessTo learn more about the ins and outs of WAAP and delve deeper into how cyber threats are changing, how security solutions have evolved, and how you can best protect your business from attacks, get the ebook here.Download the ebook now to stay ahead of evolving cyber threats

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Moreover, AI now gives hackers even more advanced tools to crack passwords in a matter of hours, no matter whether the password was changed yesterday or last year.Passwords are vulnerable to theft in a data leak, and since people might be using the same password in multiple places—both at work and at home—this creates security gaps that businesses have no control over.What to do instead: Consider adopting passwordless authentication, which uses factors like biometrics or hardware tokens for authentication. If passwordless methods are not an option, combining passwords with multi-factor authentication (MFA) strengthens security by adding an extra layer of protection. 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ATO (account takeover attacks)—in which cybercriminals gain unauthorized access to a legitimate user’s account, often through phishing or stolen credentials— are often designed to bypass such security measures.What to do instead: Encourage employees to interrogate emails that they weren’t expecting or where they cannot confidently verify the authenticity of the sender’s email address.While the vast majority of companies will have implemented email filtering software that flags suspicious attachments and links, there is always the risk that a sophisticated scammer will get through. This means that businesses need to guarantee that employees know that just because an attachment is encrypted, that doesn’t mean it’s safe.#3 If a website starts with HTTPS, that means you can trust itIn the past, users trusted that HTTPS and a padlock in a browser meant a website was secure. 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The risk of someone intercepting your data over public WiFi is similar to the risk of interception on a GSM (mobile) network. Intercepting mobile or WiFi network traffic requires specialized, expensive tools, making it a complex and resource-intensive attack method. Using public WiFi is often necessary but should be used with caution. Businesses should also ensure that their guest WiFi is secure for visitors to their organization.What to do instead: Encourage employees to use VPNs when accessing public WiFi. A commercial VPN might not always be the safest (see point below), but a corporate VPN with strong encryption and endpoint security is a much more secure option. 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In fact, Microsoft recently announced it would keep users permanently logged in, along with switching to a passkey password system.Similarly, advice such as turning off your laptop camera can be helpful, but employees should be aware that these types of hacks are usually highly targeted. They only need to take serious proactive measures if they’re handling high-security information.What to do instead: Prioritize educating employees about actual risks like phishing, ransomware, and zero-day attacks, and new attack types like AI-enabled cyberattacks. By helping your team identify genuine threats, you can foster a more focused and effective security culture.Employees should also be realistic about their own personal risk. For instance, it’s more likely they will be personally targeted if they work in a sensitive industry or have access to the upper levels of a business. For instance, sophisticated zero-click exploits—where merely opening a message can cause harm to a device—tend to target high-profile people or those with access to extremely sensitive information.Protect your digital assets with GcoreCybersecurity threats evolve constantly, making it challenging to stay ahead—especially when human error is involved. That’s why having cutting-edge security technology in place is essential, making it more likely that human error won’t lead to damaging and expensive consequences. It’s also important that employees are trained to focus on real threats and understand the difference between actual risks and harmless events.At Gcore, we offer a suite of AI-driven security solutions designed to protect your assets from advanced threats, including zero-day attacks, DDoS, and more. Contact our team of experts to learn more about our WAAP and DDoS protection solutions.Download our WAAP ebook for more cybersecurity tips

How to balance security and user experience

The greatest security paradox likely to be faced by businesses in 2025 and beyond is maintaining cybersecurity strong enough to be effective without negatively impacting user experience. Digital-first landscapes require strong measures against sophisticated threats, while customers and employees alike want ease of interaction when using online services. Finding a balance between these apparently conflicting requirements is key to maintaining industry reputation, building trust, and satisfying customers.To address this challenge, organizations are turning to emergent technologies and forward-thinking strategies. Passwordless authentication, adaptive security models, and invisible AI-driven threat detection are just a few examples of solutions that are rewriting the way businesses secure their systems without compromising user-friendly experiences.Why security versus usability is a growing challengeThe trade-off between security and usability is today a higher priority concern than ever before. Security needs to meet strict regulatory demands with new AI regulations on top of existing data protection laws, a continued rise in cybercrime including AI-powered attacks, and a low tolerance for breaches on the part of both businesses and their customers. For these reasons, organizations have traditionally favored strong defense, often at the expense of user experience.But in an increasingly consumer-driven world, frustrating logins, excessive authentication, and chunky security measures can turn users off, leading to revenue loss and eroded trust. Users have little patience for friction, demanding intuitive and near-instant access whether to a banking app, e-commerce site, or corporate platform. Security measures that are too intrusive or cumbersome chase away both customers and employees while inflating support costs.This dual pressure calls for a paradigm shift: security must be seamless, proactive, and integrated into the user journey rather than an obstructive layer.3 practical methods for balancing security and usabilityThe balance between user satisfaction and security is being calibrated in the context of new technological advancements. Implementing sophisticated but user-friendly solutions can improve an organization’s security and enhance usability. Organizations can look to implement passwordless authentication, adaptive authentication and risk-based access, and AI-powered threat detection to help balance cybersecurity with customer experience.1: Passwordless authenticationPasswords are frequently a weak link in security. Reused, forgotten, or phished credentials open businesses to a huge amount of risk. Password management creates friction for users, from frequent resets to complex requirements.Passwordless authentication negates this problem entirely. Biometrics—such as fingerprints, facial features, hardware tokens, or single sign-on mechanisms—promise convenient and secure user authentication.Beyond usability, passwordless systems are, by design, resistant to credential theft, phishing, and brute-force attacks. They also cut IT support costs related to password recovery. But as these systems become more widely deployed, it will be paramount for businesses to make sure that biometric data and token mechanisms uphold trust via secure storage and transmission.2: Adaptive authentication and risk-based accessNot all users or actions are created equal, and not all are worthy of the same amount of scrutiny. Adaptive authentication dynamically adjusts security measures in real time based on context. For example, a user accessing an account from their usual device and location may only need to take a single login step. If the user logs in from an unfamiliar country or unrecognized device, other verification steps can be called on, such as one-time passcodes or even a biometric check.Risk-based access further analyzes behavioral patterns, device reputations, and other signals to gauge the chance of malicious activity. With these systems, AI flags anomalies with minimal or no disruption to the legitimized users. Adaptive models minimize friction for the great majority of users while keeping security high.3: AI-powered threat detectionAI is revolutionizing threat detection and mitigation. Advanced systems monitor a vast amount of data, identify patterns, and predict attacks before they happen. The distinguishing feature of modern security tools driven by AI is that this can all be done invisibly without touching the user experience.For example, AI can detect credential-stuffing attempts through login pattern analysis or block DDoS (distributed denial-of-service) attacks by identifying spikes in anomalous traffic. These solutions fit nicely behind the scenes in your current infrastructure and provide protection without requiring user input or knowledge.This invisible layer of AI defense is increasingly helpful for enterprises serving a diverse array of users, from retail customers to corporate employees, all of whom expect security to be a back-end process, not a barrier to use. Third-party AI cybersecurity tools, like Gcore WAAP, are making the adoption of this technology increasingly available and simple.Practical steps for implementationThe key to the successful integration of these solutions is being strategic in implementing technology so that it aligns with organizational goals. The following steps can get your company started.Current system audit: Review current security measures regarding pinpointing specifically where the measures are hurting user experience by accounting for feedback from users in production, along with incident response times.Prioritize investments: Your organization must decide which will have the most impact—passwordless authentication or an AI-driven monitoring toolset, for example—and whether they will scale with existing infrastructure.Train employees regularly: Employees should be trained on the latest cybersecurity measures implemented within the company. This includes developing an awareness of where new tools are being implemented and how they fit into existing systems. Human error is the top breach vector, so awareness is critical.Engage stakeholders: IT and security teams must work closely with business leadership to ensure alignment with organizational priorities.Balance security and UX with Gcore Edge SecurityBalancing security and usability isn’t about compromise; it’s about finding synergy. Advanced tools, such as passwordless authentication, adaptive access control, and AI-driven threat detection, are proving that strong defenses don’t have to come at the expense of user experience. As companies invest in these technologies, they also need to invest in integration and scalability. Security measures should grow with emerging user needs and threats. Only then can success be achieved in the long run.We offer solutions designed to overcome these challenges. By coupling AI-powered and machine learning technologies with solutions to minimize user inconvenience, Gcore WAAP and DDoS Protection can provide your business with the confidence to secure your systems without disrupting users.Discover Gcore WAAP, powered by AI

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