Cloud computing is the backbone of modern enterprise innovation, but with speed and scalability comes a growing storm of cyber threats. Cloud adoption continues to skyrocket. In fact, by 2028, cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives. The traditional perimeter has all but disappeared. The result? A significantly expanded attack surface and a growing volume of threats targeting cloud workloads.
Studies tell us that 80% of security exposures now originate in the cloud, and threats targeting cloud environments have recently increased by 66%, underscoring the urgency for security strategies purpose-built for this environment. The reality for organizations is stark. Legacy tools designed for static, on-premises architectures can’t keep up. What’s needed is a new approach—one that’s intelligent, automated, and cloud-native. Enter AI-driven cloud detection and response (CDR).
Why legacy tools fall short
Traditional security approaches leave organizations exposed. Posture management has been the foundation of cloud security, helping teams identify misconfigurations and enforce compliance. Security risks, however, don’t stop at misconfigurations or vulnerabilities.
- Limited visibility: Cloud assets are ephemeral, spinning up and down in seconds. Legacy tools lack the telemetry and agility to provide continuous, real-time visibility.
- Operational silos: Disconnected cloud and SOC operations create blind spots and slow incident response.
- Manual burden: Analysts are drowning in alerts. Manual triage can’t scale with the velocity and complexity of cloud-native threats.
- Delayed response: In today’s landscape, every second counts. 60% of organizations take longer than four days to resolve cloud security issues.
The AI-powered CDR advantage
AI-powered CDR solves these challenges by combining the speed of automation with the intelligence of machine learning—offering CISOs a modern, proactive defense. Organizations need more than static posture security. They need real-time prevention.
Real-time threat prevention detection: AI engines analyze vast volumes of telemetry in real time—logs, flow data, behavior analytics. The full context this provides enables the detection and prevention of threats as they unfold. Organizations with AI-enhanced detection reduced breach lifecycle times by more than 100 days.
Unified security operations: CDR solutions bridge the gap between cloud and SOC teams by centralizing detection and response across environments, which eliminates redundant tooling and fosters collaboration, both essential when dealing with fast-moving incidents.
Context-rich insights: Modern CDR solutions deliver actionable insights enriched with context—identifying not just the issue, but why the issue matters. It empowers teams to prioritize effectively, slashing false positives and accelerating triage.
Intelligent automation: From context enrichment to auto-containment of compromised workloads, AI-enabled automation reduces the manual load on analysts and improves response rates.
The path forward
Organizations face unprecedented pressure to secure fast-changing cloud environments without slowing innovation. Relying on outdated security stacks is no longer viable. Cortex Cloud CDR from Palo Alto Networks delivers the speed, context, and intelligence required to defend against the evolving threat landscape. With over 10,000 detectors and 2,600+ machine learning models, Cortex Cloud CDR identifies and prevents high-risk threats with precision.
It’s time to shift from reactive defense to proactive protection. AI-driven CDR isn’t just another tool—it’s the cornerstone of modern cloud security strategy. And for CISOs, it’s the shield your organization needs to stay resilient in the face of tomorrow’s threats.
