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Today’s business leaders have a lot to worry about when it comes to cybersecurity, but cloud breaches concern them the most. PwC found that 33% of executives named cloud-related attacks as the threat category they feel least prepared to handle, ranking it above every other threat type surveyed.
Part of that low confidence may come down to a framing problem, as opposed to being merely a technology problem. Many organizations treat “agentless” and “runtime protection” as two separate paths, causing cyber executives to pick one architecture and live with its tradeoffs. But many of the leading platforms now do both.
Wiz, for example, built its reputation on the agentless side, with fast and broad visibility that didn’t require deploying dedicated software on every workload. The company’s recent expansion into real-time detection raises the question of whether choosing agentless over agent-based protection was ever really a decision organizations needed to make in the first place.What you will learn:
- Why “agentless or runtime” became the default framing in cloud security, and why that framing is now outdated.
- What executives lose by treating this as a binary vendor choice rather than a capability checklist.
- How Wiz’s approach illustrates a shift from either/or toward combined coverage.
- What questions executives should be asking their security leaders instead.
How agentless and runtime protection came to be viewed as opposites
Historically, agentless tools are considered a fast, lightweight alternative to agent-based tools that are heavier and harder to deploy at scale. An agentless tool can scan cloud environments from the outside without installing anything on individual workloads, which is what made it dramatically faster to roll out than agent-based alternatives.
That speed came with a real tradeoff early on. Scanning from the outside means agentless tools can’t see a live process spawn or a file get encrypted as it happens, the way an agent could.
For teams under pressure to quickly gain complete visibility, agentless became the default pick. But for those who wanted real-time depth, agent-based solutions were the only real option, regardless of the deployment work involved.
Key considerations:
- Agentless tools are historically valued mainly for their speed, while their limitations drew far less attention.
- Agent-based tools were associated with deeper detection at the cost of deployment effort.
- That divide is no longer as clear-cut as it used to be.
What gets lost when executives treat this as a binary choice
Picking a side leaves you with a gap by default. Going fully agentless limits real-time detection. On the other hand, agent-based only means slower and heavier deployment across a growing cloud footprint.
Executives may think they have coverage, but a gap like this tends to surface at the worst possible time, during an actual incident, when there’s no time left to discover it. This may be part of why cloud attacks are the threat category executives feel least ready to handle.
Key considerations:
- A false choice framing can leave organizations with blind spots they don’t know they have.
- Vendor selection based on category labels, “we’re agentless” or “we’re runtime,” can obscure what a platform actually does.
- Board-level risk conversations often inherit outdated technical framing without questioning it.
How Wiz’s approach illustrates the shift away from either/or
Wiz is a useful case study here. It’s not the only vendor doing this, but the company started on the agentless side of the divide, later adding real-time detection, which makes its history a clear example of the industry’s shift.
After the addition of Wiz Sensor, the platform now also offers an optional agent-based capability for teams that want real-time detection. Wiz’s agentless visibility solution didn’t go away, however. It’s still the foundation, but having the agent-based piece layered on top means teams no longer have to choose between speed and depth.
Other vendors like Orca and Prisma Cloud are moving in a similar direction. That’s a good sign that the industry as a whole is maturing beyond the either/or framing.
Key considerations:
- Wiz now layers real-time detection alongside existing visibility. It’s not a separate tool.
- Identity, exposure, and data context all come attached to every detection, which means less manual triage for security teams.
- Coverage extends beyond cloud-native environments to VMs, Windows, and hybrid infrastructure.
What business leaders should be asking instead
Business leaders should stop asking whether to go agentless or agent-based, and start asking whether their existing stack covers both external visibility and real-time detection, and if not, exactly where the gap is.
Wiz’s shift from agentless-only to adding Wiz Sensor is a useful model for the kind of question worth asking a vendor. Rather than asking which category they’re in, focus on how they’re addressing the reality that one side of the equation was never enough on its own.
Key considerations:
- Ask your security leadership whether real-time detection is included in your current platform or requires a separate purchase.
- Ask which environments (cloud-native, VMs, on-prem, Windows) are covered by real-time detection.
- Treat vendor category labels as a starting point for questions, not a final answer.
Closing
The choice between agentless and runtime protection was never really a choice. It was a snapshot of where the technology was at a given moment. Wiz’s own path, from agentless visibility to real-time detection through Wiz Sensor, is one example of how quickly that snapshot changes.
Executives who keep asking “which side should we pick” are asking a question the market has already moved past.
FAQs
What is the difference between agentless and runtime cloud security?
Agentless security scans cloud environments from the outside using provider APIs and periodic snapshots. Runtime protection deploys an agent on the workload to detect threats in real time.
Why do some cloud security vendors offer both agentless and runtime protection?
Because each approach on its own comes with downsides. Agentless alone can’t catch an attack in progress, while agent-based requires more work to deploy across every workload.
What questions should executives ask about their cloud security coverage?
It mainly comes down to coverage. Ask if real-time detection comes built in or costs extra, and exactly which environments it reaches.
Is agentless cloud security less secure than agent-based protection?
Not inherently. Agentless tools are made for mapping risk and misconfigurations across an entire environment without deploying anything on individual workloads, while agent-based tools are built for a different job, watching live activity in real time. Neither is a lesser version of the other. What actually matters is whether a platform covers both jobs, either on its own or paired with something that does, not which category it belongs to.