CrowdStrike Surges 95%, Palo Alto 113% as AI Fuels Cybersecurity Spending

News

1. UAE Deploys First AI Agents for Weather Forecasting

2. Meta Can Now Turn Brainwaves Into Typed Sentences with Brain2Qwerty v2

3. CrowdStrike Surges 95%, Palo Alto 113% as AI Fuels Cybersecurity Spending

4. UAE Launches National Accelerator to Build Homegrown Cybersecurity Startups

5. Employee Resistance to AI Becomes UAE Firms' Top Workforce Risk: Report

6. Apple’s AI Hardware Strategy Faces Pressure on Two Fronts

The AI boom is creating an unlikely winner: cybersecurity.

As frontier AI models grow more capable of discovering software flaws and accelerating cyberattacks, enterprises are treating security as a strategic priority rather than a back-office IT function. That shift has propelled CrowdStrike and Palo Alto Networks to their strongest quarterly performances on record.

Between April and June, the two cybersecurity firms posted their strongest quarterly gains on record, with CrowdStrike rising 95% and Palo Alto Networks climbing 113%.

The catalyst has been the emergence of Mythos-class frontier models, reportedly capable of identifying software vulnerabilities and automating sophisticated cyberattacks at unprecedented speed. While organizations have spent the past two years deploying generative AI across business functions, the conversation has now shifted toward securing those deployments.

“The Mythos moment proved that the world, starting from the frontier AI labs themselves, realized that AI needs a cybersecurity ecosystem,” CrowdStrike CEO George Kurtz told analysts during the company’s recent earnings call, describing the development as an inflection point for the industry.

This shows that rather than viewing cybersecurity as a downstream control, organizations are beginning to treat it as foundational infrastructure required for safe AI deployment.

Both CrowdStrike and Palo Alto have positioned themselves early in this transition. The companies received access to Mythos through Project Glasswing, an initiative designed to test and secure advanced AI systems before wider deployment, and are among the earliest adopters of OpenAI’s Daybreak security technologies. They have also participated in industry discussions with leading AI companies and U.S. policymakers on establishing safeguards for increasingly capable AI systems.

Their current positioning, however, is the result of strategic investments made well before the emergence of frontier AI threats.

Earlier this year, Palo Alto Networks completed its $25 billion acquisition of Israeli security firm CyberArk, significantly expanding its identity and privileged access capabilities. CrowdStrike, meanwhile, strengthened its position through investments in identity security startup SGNL. Both moves reflected a growing belief that identity protection and agentic security would become central to enterprise cyber defense as AI agents gain greater autonomy.

That strategy is beginning to translate into customer demand.

Palo Alto CEO Nikesh Arora said the company engaged with more than 1,200 customers following the emergence of Mythos and conducted approximately 800 customer meetings within a six-week period focused on AI-related cybersecurity concerns. 

CrowdStrike reported that its Falcon Shield identity protection platform delivered fourfold annual recurring revenue growth during its fiscal first quarter, indicating that identity security is becoming a major area of enterprise investment.

According to TD Cowen analyst Shaul Eyal, established cybersecurity vendors remain well-positioned because enterprises continue to lack the internal expertise needed to defend against rapidly evolving AI-enabled threats.

“For now, there’s lots of know-how that businesses don’t have, and they would rather partner with the leaders in the market that have built business models for decades,” Eyal said.

Yet the companies’ growing strategic importance has also raised expectations on Wall Street.

Despite reporting strong financial results and outlining robust AI-driven demand, both CrowdStrike and Palo Alto saw their shares decline following recent earnings releases, as investors sought evidence that AI security spending would accelerate further. 

Analysts at Bernstein cautioned that this pattern may continue if markets expect immediate revenue gains from initiatives such as Mythos, Project Glasswing, and increasing government-led AI security programs.

The disconnect underscores a broader reality emerging across enterprise AI. While organizations are moving quickly to adopt increasingly capable models, monetization may unfold more gradually than market enthusiasm suggests.