Cybersecurity startup Cato Networks just crossed a major revenue threshold, with CEO Shlomo Kramer crediting artificial intelligence for accelerating the company's growth trajectory. The Israeli firm, founded by the same entrepreneur who built Check Point Software and invested early in Palo Alto Networks, is leveraging AI to strengthen its cloud-based security platform at a time when the broader cybersecurity sector grapples with disruption fears. The milestone marks a contrarian win for AI integration in enterprise security.
Cato Networks, the Israeli cybersecurity startup pioneering secure access service edge technology, just hit a major revenue milestone that CEO Shlomo Kramer says wouldn't have been possible without artificial intelligence. Speaking to CNBC, Kramer revealed that AI integration across the company's cloud security platform is materially accelerating business growth at a moment when much of the cybersecurity industry is anxiously watching AI as a potential disruptor.
The announcement carries extra weight given Kramer's pedigree. He co-founded Check Point Software, one of the first major firewall companies, and was an early investor in Palo Alto Networks, which now commands a $90 billion market cap. That track record gives his assessment of AI's role in cybersecurity unusual credibility. "We're seeing AI not just as a feature but as a fundamental accelerator of how we deliver security," Kramer told CNBC, though specific revenue figures weren't disclosed.
Cato's AI implementation focuses on threat detection, network optimization, and automated response systems within its SASE platform, which combines networking and security into a single cloud service. The approach lets enterprises consolidate multiple security tools while AI handles the heavy lifting of analyzing traffic patterns and identifying anomalies in real-time. According to industry analysts, this consolidation trend is reshaping enterprise security spending as companies look to reduce complexity and cost.
The timing of Cato's milestone is particularly notable. While established security vendors like CrowdStrike and SentinelOne have seen their stocks whipsawed by concerns that AI could commoditize threat detection, Cato is demonstrating that AI can actually expand the addressable market for well-positioned startups. The company's SASE architecture naturally benefits from AI's ability to process massive data streams across distributed networks, something traditional firewall vendors struggle to replicate.
Cato raised $200 million at a $2.5 billion valuation in 2021, according to previous reports, and the revenue milestone suggests the company is tracking toward profitability or an eventual public offering. The broader SASE market is expected to reach $25 billion by 2028, driven by remote work adoption and cloud migration. Cato competes directly with Zscaler and emerging players from Cisco and Fortinet, but its pure-play cloud architecture and now AI capabilities provide differentiation.
What makes Cato's AI story compelling is the specificity of implementation rather than vague claims about machine learning. The company is using AI to reduce false positives in threat detection, a persistent pain point that burns security team hours. It's also deploying AI for dynamic routing decisions that optimize application performance across its global network. These practical applications translate directly to customer value, which explains why revenue is climbing.
Kramer's involvement adds another dimension. Having seen the cybersecurity landscape evolve from on-premise firewalls to cloud-native architectures over three decades, his bet on AI integration carries strategic weight. Check Point dominated the 1990s, Palo Alto Networks owned the 2010s, and Kramer clearly believes AI-powered SASE platforms like Cato will define the next era. The revenue milestone suggests customers are buying that vision.
The announcement also arrives as Israeli tech companies face renewed global attention following a wave of successful exits and continued innovation despite geopolitical challenges. Israel's cybersecurity sector has produced numerous unicorns, and Cato's performance reinforces the country's position as a security innovation hub. The company operates globally with customers across North America, Europe, and Asia-Pacific.
For enterprises evaluating security vendors, Cato's AI-driven approach offers a preview of where the market is heading. Instead of bolting AI onto legacy architectures, the company built its platform to leverage AI from the ground up. That architectural advantage is now showing up in business metrics, according to Kramer's comments. The question for competitors is whether they can retrofit similar capabilities or risk losing ground to cloud-native challengers.
Cato Networks' revenue milestone represents more than just another startup hitting targets. It's a market signal that AI integration, when done thoughtfully, can accelerate growth in enterprise security rather than cannibalize existing business models. With Shlomo Kramer's track record and the company's cloud-native architecture positioning it for the AI era, Cato is emerging as a credible challenger to established players. For enterprises navigating the shift to cloud security and AI-powered defenses, the company's trajectory offers validation that SASE platforms can deliver both consolidation and innovation. The real test will be whether this momentum translates to sustained growth and eventually a successful public debut in what remains a volatile market for security stocks.
