Top 10 Innovations in Cybersecurity

Technology is evolving rapidly and changing the way businesses operate.

Emerging technologies such as cloud computing, Artificial Intelligence (AI), automation, and the Internet of Things (IoT) are creating unprecedented opportunities for businesses to unlock new value.

However, this value is not assured. As technology evolves, so does the cyber threat landscape that organizations must navigate. In fact, it is estimated that the cyber threat globally slows the pace of technology innovation by as much as USD 3 trillion in lost economic value in 2020.

The shortage of skilled security personnel, complex compliance requirements, incessantly evolution of cyberattacks, and perilous insider threats continue to be the most prominent ongoing cybersecurity challenges. In this article, we will discuss the recent innovations that aim to solve these challenges.

1. Unsupervised Machine Learning

Even though Artificial Intelligence (AI) and Machine Learning (ML) have changed the name of the game, they are certainly not new concepts, utilizing them to enhance cybersecurity posture however is. Unsupervised AI & ML, actively hunt for new attacks and automatically adapt to new cyber threats in the market. They also can continuously learn and improve with every attack, making it a powerful tool when facing cyber threats. Not only do they warn about upcoming threats, but they also provide valuable insights on remediation and avoidance of such incidents.

One solution which provides a hybrid model of supervised and unsupervised information is CYBOWALL, an emerging cybersecurity startup with several security engines for enhanced threat detection on small and large sets of data.

2. Behavioral fuzz testing

A method that focuses on attacking one’s enviorment, by onloading the fuzzy algorithm (random unclear data) to confuse the system and ultimately making it crash. This allows DevSocOps teams to examine the possible effects of an unknown attack.

3. Attack Surface Discovery

when COVID-19 hit in early 2020, it captured the world by surprise and the cybersecurity arena was no different. Adaptation to the new remote work routine caught organizations unprepared for new potential cyber risks. An innovation that sprung to life, is the idea of continuous attack service discovery and testing to minimize the gap between growth and development. This new type of approach doesn’t rest on its laurels, i.e. focusing on current attacks, but proactively maps and organizes all organizational assets and endpoints that are exposed to the Internet. By doing so, it allows companies to explore their own weaknesses or paths of last resistance and stay ahead of cybercriminals who are constantly finding new ways to breach various systems.

4. Secure Access Service Edge (SASE)

The pandemic has triggered remote working culture, cloud adoption, and online collaboration which is only set to grow in the future. That is why organizations’ network security is transforming from LAN-based appliance models to cloud-native security service models, including SASE. SASE technology enables organizations to robustly secure remote workforce and cloud applications by routing the network traffic through a cloud-based security stack.

5. Zero-Trust Network Access (ZTNA)

Yet another pandemic-related innovation that has recently surfaced is ZTNA. IT departments used to rely on Virtual Private Networks (VPNs) to facilitate access to the corporate network for the remote workforce. As COVID-19 pushed almost all employees to remote working, VPNs proved woefully inadequate. ZTNA has emerged as a more secure option for organizations to control remote access to specific applications. It is a technology that provides controlled access to resources, reducing the surface area for attack. The isolation afforded by ZTNA improves connectivity, removing the need to directly expose applications to the internet (Source: Gartner).

6. Encryption Technology

Encryption technology has been used for hundreds of years, but it has recently become more advanced than ever before. We see new encryption methods appearing every month, and there are plenty more on the horizon – like quantum key distribution (QKD) systems that use quantum mechanics to encrypt data.

Quantum key distribution offers greater security than other encryption methods because quantum mechanics used to encode data cannot be cracked using traditional methods. Apart from QKD, different new types of encryption are being developed as well. They include homomorphic encryption, Blowfish, Rivest-Shamir-Adleman (RSA) encryption, and more.

7. AI Attack Huner

IT and security teams are often overwhelmed by the number of SIEM alerts triggered by different solutions – typically, organizations can see a peak of hundreds of thousands alerts a day, overwhelming their Security Information and Event Management (SIEM) system. With so many alerts to review, a security team can end up with alert fatigue, causing them to potentially ignore a high number of alerts and even miss cyberattack attempts. In addition, the alerts related information by itself, does not always lead you to the true understanding of the specific attack scenario that is happening, hence detection, mitigation, and response may take longer than expected. The Attack Hunter provides high efficiency in event filtering and attack pattern identification, which adds much-needed precision and saves a lot of time and manpower in the SOC.


An emerging Israeli startup by the name of CYBOWALL addresses the problem with an AI ‘Attack Hunter’, an Autonomous Machine Learning and Multi-Step Attack Hunting Engine, that dramatically reduces the false plosives while increasing the true positive. It does that by using machine learning to detect and autonomously learn new attacks by clustering together a series of IOCs into a static super-class event – GIOC. That allows the Attack Hunter to filter and correlate massive amounts of alerts into few designated cyber-attacks. Attack Hunter uses consistent datasets that are better suited for machine learning and AI algorithms to detect and learn new attack.

8. Security Process Automation

The lack of experienced security staff is set to promote organizations to increasingly rely on security process automation. Security automation tools eliminate repetitive security operations by automating them based on pre-established rules and procedures. Thus, the security tasks can be performed quickly, effectively and with fewer errors.

9. Cryptography Verification

Cryptographic tools let companies confirm they’re talking about the same person without having to actually share any data with cybersecurity solutions or even with each other, meaning fewer opportunities for data breaches or privacy violations.

10. Advanced Biometrics

New biometrics technology enables agile authentication and fraud prevention across voice and digital channels. The underlying technology leverages 4th generation of Deep Learning AI algorithms that reliably identify individuals by voice, behavior, and other human characteristics.

Next Up With Cyber Security Trends

These cybersecurity innovations in 2021 are bound to present more opportunities for organizations to stack their security measures. It is expected that organizations will spend more than ever with $100+ billion on protecting their assets alone this year. 

With infrastructure security a significant part of almost every organization today, it would be an excellent choice to start their learning curve in cybersecurity today to become experts for tomorrow. Skilled and experienced cybersecurity employees are among the highest-paid professionals in the IT industry.

Gearing up your security game and keeping pace with these cybersecurity innovations is the best call today, and we can help. Cybowall will equip you with the solution you need to stay ahead of the curve of innovation. You will learn comprehensive approaches to protecting your infrastructure, including securing data and information, running risk analysis and mitigation, architecting cloud-based security, achieving compliance, and much more with this best-in-class program.

To learn more and to book a demo click here.

Written by Vadim Latsman, Software Engineer at Cybowall

Vadim Latsman