Security Technology: Rising to the Cyber-Challenge

As security startups and established players alike bring new security technology to the table, the coming year promises to be intriguing.

Today, the most fascinating security technology is now emerging. It focuses on facilitating emerging trends in artificial intelligence (AI), data sharing, and the growth of digital ecosystems. They’re at the center of digital transformation that’s safe and secure. Here you will learn more about what to expect.

Computer use that enhances privacy is on the rise.

Privacy-enhancing computation is a developing body of encryption, data obfuscation, and privacy technologies. It’s aimed at securing data as it’s crunched. In addition, its design allows it to deal with particularly difficult scenarios. It tackles the times such as when there is data sharing across geographic boundaries, brand lines, or corporate divisions.

Security technology is available such as homomorphic encryption and differential privacy. In addition, trusted execution environments are also being developed. With this technology, numerous entities can integrate and analyze data sets without having to share their data in the open.

This will be critical for maximizing the benefits of digital transformation. At the same time, it will be compliant and maintain customer and partner confidence.

According to recent research, 50% of major enterprises will use privacy-enhancing computation by 2025. However, 2022 will be a big year for accelerating that trend.

API security options are now more robust.

According to recent surveys, 97 percent of firms have faced delays in launching new apps and software features. This is due to API security concerns.

Business objectives demand better application integration. This is for both inside and beyond organizational boundaries. However, security and regulatory requirements demand safety above all.

API security solutions are becoming more mature. In addition, the recent influx of venture capital into this space indicates that more innovation will be coming in 2022.

In 2021, some notable investments included $100 million for Salt Security in December 2020 and May 2021. Additionally, there was a $17 million Series A for 42Crunch in May, and a $20.7 million deal in September to bring newcomer Neosec out of stealth.

AI is hardening, with better discipline.

The confidentiality, integrity, and availability of AI security technology will continue to grow in relevance in 2022.

Businesses increasingly rely on AI modeling for everything from predicting supply chain demands to fraud protection. Therefore, security leaders are quickly grasping the new concept. That is, that AI models and AI data have the potential to become the new cybersecurity battleground.

Researchers and innovators are striving to bring some discipline to the subject of AI hardening.

This is a good thing. Microsoft launched a new AI security risk assessment framework in 2021 to help improve AI security. This is a good follow-up to MITRE’s continuing work on the Adversarial ML Threat Matrix collaboration project.

All indications point to more effort in this field over the coming 12 months. Furthermore, practitioners and researchers are collaborating to develop the next generation of enterprise AI tools.

Siamese neural networks are now in security applications.

A huge obstacle today is the inherent requirement of massive training data sets. In addition, ongoing retraining in the face of changing situations is a major hurdle in applying machine learning and AI to cybersecurity.

In order to make useable predictions, security researchers are attempting to overcome these restrictions. They are employing Siamese neural networks (SNNs). This is a form of model that leverages smaller samples of data for better predictions.

A group of Microsoft researchers, for example, demonstrated how this form of modeling may be used. They tested its ability to detect brand impersonation in phishing attempts at Black Hat USA 2021. Another study published earlier this spring demonstrated the use of SNNs in intrusion-detection systems to improve detection.

Identity is everything.

Identity as the new perimeter has been declared by cybersecurity pundits for at least a decade. However, it has taken a long time for innovators and practitioners to catch up to this theory in the real world.

But what about now? Identity innovation is booming. This is indicated by the latest Omdia figures, which show that the identity, authentication, and access market expanded 13.4% in 2021 to $28.9 billion. In addition, it shows that there is plenty of room for growth in 2022 and beyond.

From mature privileged access management (PAM) and identity-as-a-service (IDaaS) to increasingly viable-looking passwordless authentication solutions, everything falls under this category. Transmit Security claims that its biometric authentication technology is the first fully passwordless identity and risk management system. It received the largest Series A investment in cybersecurity history in 2021.

There’s lots of room for discussion there. However, one thing is certain: a lot of money and hope are riding on this technology’s ability to deliver on its promise.

Improved workload security lives in the cloud.

The widespread adoption of containerization, microservices, and cloud computing has created a large demand for better cloud workload security.

Furthermore, the main cloud and security providers attempt to include these safeguards into their native stacks.

However, the industry is also witnessing a slew of new and recently financed startups vying for a piece of the cloud workload protection pie. The most spectacular and recent example of this was Lacework. They are a creator of automated containerized workload defense. It received a staggering $1.3 billion funding round in November.

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