AI-driven threat landscape acceleration

“Our research center will focus on predicting industry developments and adapting our strategies accordingly, embracing both the opportunities and warnings presented by emerging AI technology.”

“We know the industry is advancing toward an AI era, and this will have a significant impact on our work and strategy.”

“While everyone is talking about artificial intelligence, I see it as a crucial dimension we’re approaching. We need to defend our added attack surfaces and simultaneously leverage AI to simplify our processes.”

“AI will also play an essential role in cutting through the complexity we face.”

“When looking at the process of connecting more and more devices to our networks, we are entering an era that will redefine our industry.”

“I categorize our approach into three buckets: the essentials that will remain unchanged, such as infrastructure enabling efficiency for customers; significant changes brought by attackers leveraging AI to enhance their capabilities; and the unknown factors we still need to anticipate.”

“The first is that the barrier to sophisticated cyber attacks is literally collapsing because AI is democratizing capabilities that were once exclusive to nation-states and a very small set of elite criminal organizations, and this is exposing a far broader set of enterprises to material risk.”

“Second, cyber attacks are undergoing structural industrialization. Agentic AI enables attackers to continuously scan global infrastructure, and they're generating a continuous flow of novel attack techniques. Manual operations are giving way to automated attack pipelines. This is what we call the Check Point AI attack factories.”

“AI is a watershed moment for the security industry. When you look at the emergence of these frontier AI models, including models in the GPT class, they're driving two structural shifts in cybersecurity.”

“Additionally, while AI enhances cyber resilience, it can also create a bigger attack surface for organizations. Our AI-enabled active insights technology is helping customers conduct real-time threat analysis to assess their cyber resilience.”

“Ransomware and sophisticated cyberattacks are increasing in frequency. Cloud environments are more complex, and there are emerging use cases around AI.”

“At the Gartner Security and Risk Management Summit in June, analysts reported that by 2028, 25% of enterprise breaches will be traced back to AI agent abuse from both external and malicious internal actors.”

“As a result, the need for comprehensive end-to-end observability has become mandatory, especially for larger organizations. We believe that an AI-powered observability platform with sophisticated analytic and automation capabilities is vital in providing the visibility needed for software to work perfectly.”

“And the AI revolution has added another layer of complexity as organizations look to accelerate innovation, deliver better customer service, drive efficiency, and obtain a competitive advantage.”

“The most significant trend in the next 12 to 48 months is AI, which is already making a notable impact on cyberattacks, making them faster and more aggressive.”

“Bad actors are using AI to move faster than ever. Recently, our Unit 42 team was able to simulate an entire ransomware attack in under 25 minutes using AI at every stage of the attack chain.”

“First, the threat environment is accelerating, not simplifying. AI is enabling attackers to move faster, at greater scale, and with more sophistication than ever before.”

“AI-driven attacks are escalating in both pace and sophistication, stretching security teams thinner than ever. At the same time, regulatory requirements continue to expand and fragment globally, from the EU's evolving framework to new compliance mandates across Asia Pacific and the growing patchwork of US state-level requirements.”

“Additionally, the frequency and sophistication of cyberattacks is escalating, further underscoring the need for robust data governance and security.”