打破企业安全壁垒

An Executive Guide to Cloud Security andSOC Convergence Security teams face increasing complexity as they defend theirorganizations from advanced cloud-based threats. Operational silosdivide application security (AppSec), cloud security (CloudSec), andsecurity operations (SecOps) teams, each working with separate tools,workflows, and data sources. The resulting barriers hinder collaborationand delay incident response. CloudSec teams, for example, detect a vulnerability in cloudinfrastructure but lack the runtime context to determine its activeexploitation. SecOps analysts monitor alerts without visibility into thecloud services and applications they’re protecting. Meanwhile, AppSecteams remain disconnected from risks that materialize in production. As attackers move between cloud infrastructure, enterprise systems,and application layers, these divides give them the advantage. In today’slandscape—with 80% of medium, high, and critical exposures occurring incloud environments1—manual workflows and disconnected tools are liabilities. An AI-driven securityoperations platform, built onunified data and automation,elevates security fromreaction to prevention. Organizations need a new approach to security—one that breaks downartificial barriers between AppSec, CloudSec, and SecOps. By unifying data,automating workflows, and leveraging AI-driven insights, security teams cangain shared visibility, enabling teams to detect, investigate, and respondto threats with the same agility that attackers use to exploit these divides.Drawing from the same intelligence, they can respond faster to incidents andreduce risk across the enterprise. Challenges in Modern Cloud Security Cloud-native environments introduce challenges that traditional security tools and workflows aren’tequipped to address: •Visibility gaps: Siloed teams and disjointed tools obscure critical data. Without unifiedmonitoring, AppSec loses sight of postdeployment risks, CloudSec loses time attempting tocorrelate runtime activity, and SecOps can’t consolidate signals into actionable insights. •Shared responsibility: Unclear boundaries between cloud providers and internal teams delayincident response. Analysts spend valuable time identifying ownership, increasing risk duringcritical incidents. •Dynamic environments: Ephemeral cloud resources and rapid deployments create an ever-shifting attack surface. CloudSec teams face challenges tracking assets, and AppSec teams riskintroducing misconfigurations in the push for speed. •Risk prioritization: Cloud environments generate thousands of alerts, making prioritizationdifficult. AppSec rarely prevents issues, cloud posture complexity overwhelms teams, cloudruntime remains too sparsely deployed, and SOCs lack the visibility, AI, and automation neededfor near-real-time threat response. •Access management: Proliferation of identities across tools and platforms leads to inconsistentpolicies, redundant controls, and a heightened risk of unauthorized access or privilege escalation. •Configuration management: Misconfigurations remain a top cause of incidents. AppSec’sinsecure defaults, compounded by CloudSec’s configuration drift, create blind spots that leaveSecOps chasing alerts without full context. •Attack path analysis: Massive amounts of telemetry obscure critical risks. Teams need tools toconsolidate data and identify potential breach paths, from vulnerabilities in development pipelinesto cloud runtime exploitation. Mapping the Fault Lines in Cloud-Scale Complexity The challenges outlined above aren’t isolated. Risk prioritization failures impact all teams as visibilitygaps create issues from development to runtime. Cloud ecosystems have outpaced traditionalsecurity, a shift best understood by examining its effects. The Visibility Crisis Consider a typical scenario: Your security team receives an alert aboutsuspicious activity in a cloud workload, exposing critical visibility gaps: 91% •The SOC teamreviews the alert but is unaware of how the threat originated,whether from a vulnerability in a serverless function, misconfigured API, orunencrypted S3 bucket.•The application security teamlacks context from the ecosystem, whichprevents them from recognizing a recurring issue and addressing it in code.•The cloud security teamfaces an overwhelming volume of vulnerabilitiesand misconfigurations. Without runtime data correlated with SOC insights,they can’t readily differentiate exploitable risks from theoretical ones.•The cloud posture management teamopens a security ticket, but partitioned workflowsprevent clear ownership and follow-through.•Development teamsdeploy new code without visibility into active threats, inadvertentlyreplicating vulnerabilities across the environment.•Manually coordinating between these teamsslows investigations, leaving critical gaps thatattackers exploit. of organizations say the numberof tools they use create blindspots that affect their abilities toprioritize risk and preven