As enterprises accelerate their cloud adoption, traditional security tools struggle to keep pace. The cloud introduces unique attack surfaces, rapid changes in infrastructure, and cloud-specific threats that solutions like SIEM, EDR, and SOAR weren’t designed to handle. This is where Cloud Detection and Response (CDR) comes into play—providing real-time cloud visibility, contextual insights, and guided response to threats across multi-cloud environments.

The Challenge: Cloud-Native Security Gaps  

The cloud’s dynamic and interconnected nature presents unprecedented risks, including:

• Misconfigurations: Open S3 buckets, mismanaged IAM roles, and weak access controls provide easy entry points for attackers.
• Overprivileged Identities: Attackers can exploit excessive permissions to move laterally and escalate privileges.
• Advanced Threats: Ransomware targeting cloud workloads and supply chain attacks continue to evolve.

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Cloud Security for SecOps Teams

SecOps teams are now responsible for detection and response that happens across cloud environments. The problem? Their tools aren’t built to properly detect and visualize cloud threats.  

This means that security teams struggle with alert overload, visibility into ever-changing threats and what is impacted. Understanding how a potential breach can spread across the cloud infrastructure and finding the root cause is challenging.  

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Where Traditional Security Falls Short

Traditional security tools weren’t built for cloud-native threats, and therefore, struggle to adapt to today’s landscape that is spread across multiple cloud environments.  

This means that SecOps teams are dealing with:

• Limited Context: Traditional tools generate alerts but lack specific context to assess the real impact within cloud environments.

• Fragmented Visibility: SIEMs ingest logs but cannot stitch together cloud activity into a coherent attack storyline.

• Alert Fatigue: The sheer volume of alerts with little triage context overwhelms security teams.

• Slow Response: Manual investigation processes delay containment and remediation.

That’s where Cloud Detection & Response (CDR) comes in.

Stream Security’s Cloud Detection and Response (CDR) solution addresses these challenges by delivering real-time, actionable insights through four key pillars: Prepare, Detect, Investigate, and Respond.

Prepare: Real-Time Cloud Context for SecOps

Stream Security’s CloudTwin™ technology creates a model of your cloud environment, providing real-time visibility into workloads, identities, configurations, and network traffic. This enables:

• Proactive Threat Modeling: Identify attack paths before exploitation occurs. ‍
• Real-time Visibility: Adapt to evolving infrastructure changes.‍
• Mapping of Crown Jewels: Prioritize the most critical risks to secure high-value assets

Detect: Smarter Threat Identification & Prioritization

Unlike legacy tools that generate siloed alerts, Stream Security correlates identity, network, and cloud activity to detect threats with high fidelity.  

Key detection capabilities include:

• ‍Blast Radius Analysis: Understand the radius of an attack beyond a single event to measure its true impact in the cloud environment. ‍
• Cloud-Native Attack Awareness: Detect identity-based threats, API exploits, and lateral movement. Stream’s detection technology is built for cloud-native attacks, ensuring your security team is aware of complex cloud threats. ‍
• Threat Prioritization: Reduce false positives by focusing only on exploitable risks.  

Investigate: Understanding the Full Attack Storyline

Stream Security eliminates the need for manual log correlation by providing a dynamic attack storyline that connects:

• ‍IAM Role Abuse: Track privilege escalations across cloud accounts. ‍
• Configuration Changes: Identify unauthorized security group or policy modifications. ‍
• Attacker Intent: Visualize how attackers navigate multi-cloud environments.  

Respond: Automated and Precise Threat Mitigation

Stream Security accelerates response times by integrating seamlessly with SOAR and other automation platforms. Response actions include:

• ‍Automated Containment: Isolate compromised identities or workloads instantly. ‍
• Minimal Disruption: Implement the least intrusive remediation to maintain uptime. ‍
• Guided Playbooks: AI guided response provides SecOps with contextual recommendations for rapid action.

Integrating CDR with Your Existing Security Stack

Stream Security enhances and complements existing security stacks by bridging cloud security gaps, giving security teams full visibility into the cloud without retooling or retraining.  

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EDR (Endpoint Detection and Response)

• ‍Before Stream: EDR focuses on workload threats but lacks cloud-layer visibility. ‍
• After Stream: Workload threats are correlated with identity and network activity in the cloud, providing a complete attack picture.

SIEM (Security Information and Event Management)

• ‍Before Stream: SIEM aggregates logs but lacks contextual analysis, leading to excessive noise.
• ‍After Stream: Stream enriches SIEM alerts with cloud-native insights, reducing false positives and accelerating investigations.

XDR (Extended Detection and Response)

• ‍Before Stream: XDR ingests logs from multiple sources but struggles with cloud-specific attack detection. ‍
• After Stream: Stream provides real-time cloud context to XDR, turning low-fidelity alerts into high-confidence detections.

SOAR (Security Orchestration, Automation, and Response)

• ‍Before Stream: SOAR automates response workflows but lacks the intelligence to tailor actions effectively. ‍
• After Stream: Stream enhances SOAR with enriched attack context, enabling surgical, impact-driven responses.

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Real-World Use Case: Stopping a Cloud-Native Attack

Phase 1: Initial Access

• ‍Attack: An attacker exploits compromised credentials. ‍
• Detection: Stream detects unusual privilege escalation.

Phase 2: Lateral Movement

• ‍Attack: The attacker assumes roles in multiple accounts to search for sensitive resources. ‍
• Detection: Stream correlates role changes and API calls in real time.

Phase 3: Data Exfiltration & Persistence

• ‍Attack: The attacker attempts to exfiltrate data and create a backdoor for future access. ‍
• Response: Stream automatically revokes compromised credentials and isolates affected assets.

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The Business Impact of Stream Security’s CDR

Organizations leveraging Stream Security experience:

• ‍77% Faster Investigations: Automated attack storylines reduce manual triage time. ‍
• 75% Reduction in False Positives: Cloud context eliminates redundant alerts. ‍
• 4x Faster Response: Real-time modeling enables sub-5-minute MTTR.

Traditional security solutions are not built to protect today’s cloud environments. Stream Security’s CDR platform provides the real-time visibility, intelligence, and automation that modern SOC teams need to stay ahead of attackers.

Ready to see CDR in action? Book a demo with Stream Security today.

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