The rapid adoption of cloud technology has transformed how businesses operate, offering scalability, agility, and opportunities for innovation. However, this transformation has also introduced a profound challenge: the “ghost in the machine””, elusive and dynamic threats that exploit the complexity and scale of cloud environments to remain hidden, evading traditional detection methods and posing significant risks to organizations.Unlike the static, on-premises systems of the past, cloud environments are constantly changing. Applications are transient, data moves among platforms, and the attack surface expands with each new service or misconfigured setting. As a result, security teams often struggle to keep up with the speed and scope of these environments, creating opportunities for attackers to blend in and avoid detection. These factors have made the cloud a fertile ground for sophisticated threat actors who leverage automation and identity compromise to strike at critical systems.
Evolving threats in the cloud
Modern cloud environments have fundamentally changed how attackers operate. In traditional data centers, updates were infrequent, network ingress and egress points were well-defined, and security teams could write precise rules for threat detection. The cloud, however, flips this paradigm. Applications are redeployed frequently, workloads shift constantly, and identity systems introduce new vulnerabilities.James Condon, director of Fortinet Lacework Labs, explains how attackers have evolved alongside these changes: “Early cloud threats were often tied to misconfigurations, like exposed S3 buckets or open databases. As organizations addressed these weaknesses, attackers began targeting identities and stealing credentials to navigate cloud environments undetected and access sensitive data or resources.”Identity compromise is now the most common entry point for cloud breaches. Attackers often exploit weak credentials, phishing campaigns, or misconfigured permissions to infiltrate systems. Once inside, they behave like legitimate users, making their activities difficult to distinguish from normal operations. Meanwhile, the sheer scale of hybrid and multi-cloud environments, each with its configurations and logs, can overwhelm security teams and create blind spots attackers can exploit.
The challenge of visibility and integration
The cloud’s inherent complexity compounds security challenges. Hybrid and multi-cloud environments often involve a patchwork of tools for networking, monitoring, and threat detection, many of which lack integration. These disconnected systems prevent centralized visibility, forcing security teams to piece together insights manually and increasing response times.This fragmented approach has created what Frank Dixon, group vice president for security and trust at IDC, described in a recent Fortinet Cloud Summit as a “self-inflicted” problem. “As organizations adopted cloud technologies, they layered new tools on top of existing systems without considering how they would work together. Now, they’re dealing with complexity that hinders their ability to respond to threats effectively.”
The rise of integrated threat detection
To counter these challenges, organizations must adopt integrated solutions that align with the speed and complexity of the cloud. Threat detection must shift from static, rule-based methods to dynamic systems that leverage real-time analytics and automation.Unified visibility and contextual insights. Centralized visibility is the foundation of effective cloud security. Solutions must aggregate data from multiple environments”, on-premises systems, cloud platforms, and SaaS applications”, into a single, coherent view. This allows security teams to detect unusual behaviors, such as anomalies in API calls or unexpected lateral movements. Behavioral analytics, which identifies deviations from normal activity, is particularly effective for spotting identity-based attacks that might otherwise blend in.Integrated platforms. The shift toward integrated platforms is critical for reducing complexity and improving efficiency. Dixon notes, “The term ‘platform’ isn’t about a single tool but rather the seamless integration of multiple solutions that work together out of the box.” This approach reduces training requirements, simplifies management, and ensures faster, coordinated responses to threats. An ideal platform must empower organizations to both see and secure seamlessly.Automated detection and response. Automation is essential in addressing the scale of cloud operations. AI-driven systems can process and correlate telemetry in real time, identifying threats faster than manual methods. Automation also enables immediate responses, such as isolating compromised instances or revoking access for stolen credentials, limiting the damage attackers can inflict.
Catching the ghost in the machine
The ghost in the machine thrives in complexity, exploiting disjointed systems, fragmented visibility, and identity weaknesses to evade detection. To stay ahead, organizations must embrace strategies that combine advanced detection capabilities with operational simplicity.James Condon highlights a critical approach: “Layering multiple detection methods”, behavioral analysis, anomaly detection, and threat intelligence”, helps separate real threats from noise. Combining these insights into a graph-based model that maps relationships between users, resources, and activities is particularly effective in identifying hidden threats.”Integrated platforms that unify security across networking, endpoints, and cloud environments offer the most effective defense. These solutions provide a cohesive foundation for identifying and neutralizing threats before they escalate. By prioritizing visibility, automation, and integration, organizations can move faster than attackers, disrupting the ghost in the machine before it causes harm.As cloud environments continue to evolve, the ghost will remain an ever-present challenge. But with the right tools and strategies, security teams can adapt to the speed and scale of the cloud, transforming it from a source of complexity into a foundation for resilience.”The ghost in the machine will always test the limits of our defenses,” concludes Condon. “But by focusing on integration, real-time analytics, and proactive threat detection, we can turn the cloud’s inherent challenges into opportunities for innovation and security.”For businesses navigating hybrid and multi-cloud environments, catching the ghost is not just a goal”, It’s a necessity for thriving in today’s dynamic digital landscape.Learn more about Fortinet Cloud Security Solutions.
First seen on csoonline.com
Jump to article: www.csoonline.com/article/3625247/catching-the-ghost-in-the-machine-adapting-threat-detection-to-cloud-speed.html