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In the past month, Palo Alto (Cortex Cloud), Wiz (Wiz Defend) and CrowdStrike announced their move into the Cloud Detection and Response (CDR) space. Their promise? A single solution that integrates real-time agent-based detection with Cloud Security Posture Management (CSPM).
On paper, it sounds like a perfect match. But in reality? This is a toxic combination.
CSPM was never built for detection and response. It was built for prioritization. Trying to bolt real-time response onto a static, scan-based system doesn’t just fall short—it actively misleads security teams.
It’s like trying to drive in a new city with a GPS that only updates once a day. It’s fine when you’re planning ahead. But when you’re in the middle of an emergency? That outdated map leads you straight into a dead end.
This is not the future of cloud security. It’s a platformization play disguised as innovation.
Let’s break down why this approach is fundamentally flawed and what security teams really need.
Attackers have figured out something security vendors don’t want to admit—cloud security isn’t just about workloads, it’s about configurations.
By modifying network reachability, identity permissions, or resource associations, attackers can expand their blast radius in seconds.
But CSPM operates on periodic snapshots—meaning it only captures cloud posture at a single moment in time. If an adversary makes a critical change between scans, your security stack won’t reflect the new attack surface.
That means an attack can unfold right under your nose, and CSPM will still tell you everything is fine. In fact, it happens all the time. Over 60% of attacks originate in the cloud, and in just seconds ,an attacker can pivot laterally—expanding their reach before security teams even realize there’s a problem. And with generative AI in the mix, the problem only gets worse.
CSPM was designed to prioritize vulnerabilities, not to track real-time attack paths. That means the security picture is incomplete by design.
Imagine moving to a new city. Your GPS knows how to get from your house to work and from your house to the grocery store. But when you need to go from work to the grocery store, you’re stuck.
That’s exactly what happens with CSPM-driven security. It builds attack paths based on known vulnerabilities but ignores dynamic changes across:
This means most real-world attack paths are invisible to CSPM. Adversaries don’t need exploits when they can simply change configurations to achieve lateral movement.
Cloud assets are ephemeral—they spin up and down constantly. If your detection system relies on CSPM’s last scan, the asset you’re investigating might not even exist anymore.
Example:
An alert is triggered on an IP address.
A CSPM-driven approach will try to map it to an asset using the last scan. But without an event-driven system, security teams are forced to manually reconstruct what actually happened.
Without real-time cloud modeling, even basic incident response becomes a guessing game.
Here’s the real kicker: Palo Alto and Wiz are not just integrating real-time agents with CSPM—they are forcing you to use their CSPM if you want their CDR solution.
Think about what that means.
If they truly believed in real-time cloud security, why lock it behind their CSPM? Why not let security teams use real-time detection with any cloud security stack?
The answer is simple: it’s not about security—it’s about platformization.
These vendors built billion-dollar businesses on CSPM. Now that CDR is the next frontier, they don’t want to lose their CSPM foothold. But it’s more than that—they aren’t interested in investing in true, next-generation CDR. Instead, they’re running a packaging exercise, slapping a new label on old tech, and disguising it as CDR to monetize their existing customer base further. If CSPM was enough, there would be no need for CDR.
Security teams don’t need a CSPM tax disguised as CDR. They need real, vendor-agnostic detection and response.
Many cloud security solutions analyze logs one by one—without correlating them to real-time posture. Attackers exploit this blind spot by flooding logs with fake signals, making real threats harder to spot. Real-time context isn’t just about collecting more logs—it’s about stitching together identity, network, and configuration changes as they happen.
Without that, security teams are drowning in data but still missing the attack.
One of the biggest failures of CSPM-driven security is how it reports configuration changes.
Example:
An attacker assigns a security group with internet access to a sensitive asset.
A CSPM-driven system logs this as:
“New security group assigned to asset X.”
What does that actually mean? Nothing.
What security teams really need to know is:
“Asset X is now exposed to the internet. This asset contains PII data.”
This is the difference between static snapshots and real-time context. CSPM tells you what changed—but not why it matters.
When a breach happens, security teams need to answer one urgent question:
“Was data leaked?”
Step one is figuring out which assets were exposed to the internet. But if your detection stack relies on CSPM snapshots, you’re querying yesterday’s posture. If that scan happened hours ago, your answer is already outdated.
Security teams need event-driven posture tracking, not a security camera that takes a picture once a day.
Security automation is powerful—when it’s built on accurate, real-time context. But when response actions are triggered based on outdated or incomplete posture data, it creates more problems than it solves.
Here’s what happens in a CSPM-driven model:
This isn’t just a theoretical risk—it directly impacts availability, trust, and business continuity.
CDR is an urgent need, but bolting it onto CSPM doesn’t solve the problem—it just creates more confusion.
You can’t slap Prisma onto Cortex and call it real-time security.
You can’t duct-tape Gem onto Wiz and expect true Cloud Detection and Response.
And you can't call it CrowdStrike complete when it's missing real-time posture.
That’s not innovation. That’s marketing.
If you want real-time, event-driven cloud security, you have to build for it from the start.
Security teams need:
Palo Alto, Wiz and CrowdStrike stepping into CDR validates the need for real-time security. But without event-driven modeling, security teams will continue chasing shadows.
The cloud moves in real time. Security should too.
Stream.Security delivers the only cloud detection and response solution that SecOps teams can trust. Born in the cloud, Stream’s Cloud Twin solution enables real-time cloud threat and exposure modeling to accelerate response in today’s highly dynamic cloud enterprise environments. By using the Stream Security platform, SecOps teams gain unparalleled visibility and can pinpoint exposures and threats by understanding the past, present, and future of their cloud infrastructure. The AI-assisted platform helps to determine attack paths and blast radius across all elements of the cloud infrastructure to eliminate gaps accelerate MTTR by streamlining investigations, reducing knowledge gaps while maximizing team productivity and limiting burnout.