The tense geopolitical environment, accelerated digitization of the economy and the growing number of connected and smart devices create fertile ground for cybercriminals, leading to a surge in intrusions and attacks.

Against this backdrop, all enterprises and organizations have no choice but to roll out Zero Trust security architectures that combine user identification and access management with device authentication and protection and to massively invest in detection tools and automated response solutions.

AI is also rapidly emerging as a powerful driver for the cybersecurity industry. First, the widespread use of personal data to train AI models, coupled with the rise of adversarial AI threats—where malicious actors attempt to manipulate models used in autonomous driving or facial recognition, for example— requires increased data security.

Second, the integration of Generative AI capabilities into cybersecurity products is expected to materially improve the detection of unusual patterns, enable faster responses to emerging threats and bring major productivity gains to enterprise security teams. As a result, AI should provide a boost to vendors’ pricing power and margins.

Finally, M&A is adding some spice to the investment case. Most cybersecurity firms indeed seek to offer comprehensive platforms covering all security needs and are on the hunt for acquisitions as customer enterprises demand packaged solutions to reduce costs and complexity.

The industry growth outlook as well as its fragmentation are also attracting private equity firms seeking to extract synergies by combining various cybersecurity assets.

INSIGHTS

Product Details

NAV & Performance

UBS

ISIN

CH0473585252

Currency

USD

Type

Active Equity

Issuer / Rating

UBS / S&P A+

Inception Date

08.11.2019

Liquidity

Daily