Client: Kaspersky
Format: Article
Size: 713 KB
Language: English
Date: 22.08.2025
How 20 years of AI expertise is shaping the future of cybersecurity
Two decades of AI, one mission: build a safer world
Cybersecurity is undergoing a dramatic transformation driven by the rise of artificial intelligence. Threats are growing in complexity and speed and many businesses are demanding AI-powered solutions to counter them. In fact, 94% deem them crucial, and with good reason: in 2024, organizations using AI and automation extensively in prevention averaged savings of $2.2 million versus those that didn’t.
Vendors are racing to capitalize on this demand with campaigns built on “next-gen” AI features, but amid the surge of solutions, one truth stands out: not all are created equal. AI models, by nature, are only as good as the data they’re trained on and the context in which they’re applied. Inexperienced vendors may rely on limited datasets, overlook subtle attack vectors or fail to prevent adversarial manipulation, which can lead to false positives, misplaced confidence – and missed threats.
Kaspersky, however, began implementing AI and machine learning (ML) in its solutions over two decades ago. While movies like I, Robot were envisaging humanity’s demise at AI’s hands, Kaspersky was exploring the potential of this infant technology to make the world a safer place. This foresight, coupled with long-term investment, has resulted in smarter, faster and more reliable protection today – not built on hype but on years of innovation and proven performance.
Cybersecurity is undergoing a dramatic transformation driven by the rise of artificial intelligence. Threats are growing in complexity and speed and many businesses are demanding AI-powered solutions to counter them. In fact, 94% deem them crucial, and with good reason: in 2024, organizations using AI and automation extensively in prevention averaged savings of $2.2 million versus those that didn’t.
Vendors are racing to capitalize on this demand with campaigns built on “next-gen” AI features, but amid the surge of solutions, one truth stands out: not all are created equal. AI models, by nature, are only as good as the data they’re trained on and the context in which they’re applied. Inexperienced vendors may rely on limited datasets, overlook subtle attack vectors or fail to prevent adversarial manipulation, which can lead to false positives, misplaced confidence – and missed threats.
Kaspersky, however, began implementing AI and machine learning (ML) in its solutions over two decades ago. While movies like I, Robot were envisaging humanity’s demise at AI’s hands, Kaspersky was exploring the potential of this infant technology to make the world a safer place. This foresight, coupled with long-term investment, has resulted in smarter, faster and more reliable protection today – not built on hype but on years of innovation and proven performance.
