Critical Capabilities Comparison:

Where Do Other Cloud and Kubernetes Security Solutions Fall Short?

Spyderbat Runtime Security - Built on eBPF

Gain complete visibility and control, harnessing the power of eBPF

Spyderbat eBPF Nano Agents collect kernel-level workload data with negligible performance impact and no management overhead (using less than 2% of resources). Visualize runtime activity, detect attacks, recognize anomalies, and automatically take the right action to protect app behavior and minimize downtime.

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Feature

Spyderbat

CSPM

XDR

How We're Better

Real Time Attack Prevention for Cloud and Kubernetes

Trace all activity

shift left doesn't see running apps, only config
 

only discrete alerts, cannot take action because of alert flooding

Continuously track code, container, cluster and cloud behavior and kills processes, terminates connections based on threat level

Continuously track anomalies

cannot see runtime

Delays of up to 48 hours

Track and compare deployments, changes and behavior across timelines to immediately identify anomalies

Build alerts based on risk

static scanning for virus

but at human scale

Automatically track and combine events into scored traces of activity like real-time incident response reports for all app activity

Stop Attacks in Real Time

only preventative based on scanning, no real time response ability

only alerts based on loose correlation that require human intervention

Spyderbat terminates processes and connections in real time based on trusted app behavior and threat level

Real Time Detection for Cloud and Kubernetes

Identify Root Cause

Instantly


 

with human effort and weeks of research

Continuous traces of all activity means that incidents have pre-populated, cause-based reports of all the who, what, when and where of how attacks played out before they were stopped

Reduce Alerts

Combining alerts into traces, and then monitoring traces based on typical app behavior means teams only receive an alert when real risk is present

Identity Monitoring

All events are tracked based on the account that executed them, whether that's a user, service account, or privileged account

Track events across ephemeral containers

Continuously build historical context across all events, even if the container or service that spawned the event is no longer running

Stop Drift

Profile running applications

Instantly

Config at build time only

 

Continuously identify patterns of app behavior via eBPF, container runtime, and control plane data

Automatically identify anomalies

Instantly see new process, network, or control plane activity

Prevent drift in real time

Flag suspicious behaviors or actively terminate unknown processes

Feature

Spyderbat

CSPM

XDR

How We're Better

Real Time Attack Prevention for Cloud and Kubernetes

Trace all activity

shift left doesn't see running apps, only config
 

only discrete alerts, cannot take action because of alert flooding

Continuously track code, container, cluster and cloud behavior and kills processes, terminates connections based on threat level

Continuously track anomalies

cannot see runtime

Delays of up to 48 hours

Track and compare deployments, changes and behavior across timelines to immediately identify anomalies

Build alerts based on risk

static scanning for virus

but at human scale

Automatically track and combine events into scored traces of activity like real-time incident response reports for all app activity

Stop Attacks in Real Time

only preventative based on scanning, no real time response ability

only alerts based on loose correlation that require human intervention

Spyderbat terminates processes and connections in real time based on trusted app behavior and threat level

Real Time Detection for Cloud and Kubernetes

Identify Root Cause

Instantly


 

with human effort and weeks of research

Continuous traces of all activity means that incidents have pre-populated, cause-based reports of all the who, what, when and where of how attacks played out before they were stopped

Reduce Alerts

Combining alerts into traces, and then monitoring traces based on typical app behavior means teams only receive an alert when real risk is present

Identity Monitoring

All events are tracked based on the account that executed them, whether that's a user, service account, or privileged account

Track events across ephemeral containers

Continuously build historical context across all events, even if the container or service that spawned the event is no longer running

Stop Drift

Profile running applications

Instantly

Config at build time only

 

Continuously identify patterns of app behavior via eBPF, container runtime, and control plane data

Automatically identify anomalies

Instantly see new process, network, or control plane activity

Prevent drift in real time

Flag suspicious behaviors or actively terminate unknown processes

Feature

Spyderbat

CSPM

XDR

How We're Better

Real Time Attack Prevention for Cloud and Kubernetes

Trace all activity

shift left doesn't see running apps, only config
 

only discrete alerts, cannot take action because of alert flooding

Continuously track code, container, cluster and cloud behavior and kills processes, terminates connections based on threat level

Continuously track anomalies

cannot see runtime

Delays of up to 48 hours

Track and compare deployments, changes and behavior across timelines to immediately identify anomalies

Build alerts based on risk

static scanning for virus

but at human scale

Automatically track and combine events into scored traces of activity like real-time incident response reports for all app activity

Stop Attacks in Real Time

only preventative based on scanning, no real time response ability

only alerts based on loose correlation that require human intervention

Spyderbat terminates processes and connections in real time based on trusted app behavior and threat level

Real Time Detection for Cloud and Kubernetes

Identify Root Cause

Instantly


 

with human effort and weeks of research

Continuous traces of all activity means that incidents have pre-populated, cause-based reports of all the who, what, when and where of how attacks played out before they were stopped

Reduce Alerts

Combining alerts into traces, and then monitoring traces based on typical app behavior means teams only receive an alert when real risk is present

Identity Monitoring

All events are tracked based on the account that executed them, whether that's a user, service account, or privileged account

Track events across ephemeral containers

Continuously build historical context across all events, even if the container or service that spawned the event is no longer running

Stop Drift

Profile running applications

Instantly

Config at build time only

 

Continuously identify patterns of app behavior via eBPF, container runtime, and control plane data

Automatically identify anomalies

Instantly see new process, network, or control plane activity

Prevent drift in real time

Flag suspicious behaviors or actively terminate unknown processes

Feature

Spyderbat

CSPM

XDR

How We're Better

Real Time Attack Prevention for Cloud and Kubernetes

Trace all activity

shift left doesn't see running apps, only config
 

only discrete alerts, cannot take action because of alert flooding

Continuously track code, container, cluster and cloud behavior and kills processes, terminates connections based on threat level

Continuously track anomalies

cannot see runtime

Delays of up to 48 hours

Track and compare deployments, changes and behavior across timelines to immediately identify anomalies

Build alerts based on risk

static scanning for virus

but at human scale

Automatically track and combine events into scored traces of activity like real-time incident response reports for all app activity

Stop Attacks in Real Time

only preventative based on scanning, no real time response ability

only alerts based on loose correlation that require human intervention

Spyderbat terminates processes and connections in real time based on trusted app behavior and threat level

Real Time Detection for Cloud and Kubernetes

Identify Root Cause

Instantly


 

with human effort and weeks of research

Continuous traces of all activity means that incidents have pre-populated, cause-based reports of all the who, what, when and where of how attacks played out before they were stopped

Reduce Alerts

Combining alerts into traces, and then monitoring traces based on typical app behavior means teams only receive an alert when real risk is present

Identity Monitoring

All events are tracked based on the account that executed them, whether that's a user, service account, or privileged account

Track events across ephemeral containers

Continuously build historical context across all events, even if the container or service that spawned the event is no longer running

Stop Drift

Profile running applications

Instantly

Config at build time only

 

Continuously identify patterns of app behavior via eBPF, container runtime, and control plane data

Automatically identify anomalies

Instantly see new process, network, or control plane activity

Prevent drift in real time

Flag suspicious behaviors or actively terminate unknown processes

Feature

Spyderbat

CSPM

XDR

How We're Better

Real Time Attack Prevention for Cloud and Kubernetes

Trace all activity

shift left doesn't see running apps, only config
 

only discrete alerts, cannot take action because of alert flooding

Continuously track code, container, cluster and cloud behavior and kills processes, terminates connections based on threat level

Continuously track anomalies

cannot see runtime

Delays of up to 48 hours

Track and compare deployments, changes and behavior across timelines to immediately identify anomalies

Build alerts based on risk

static scanning for virus

but at human scale

Automatically track and combine events into scored traces of activity like real-time incident response reports for all app activity

Stop Attacks in Real Time

only preventative based on scanning, no real time response ability

only alerts based on loose correlation that require human intervention

Spyderbat terminates processes and connections in real time based on trusted app behavior and threat level

Real Time Detection for Cloud and Kubernetes

Identify Root Cause

Instantly


 

with human effort and weeks of research

Continuous traces of all activity means that incidents have pre-populated, cause-based reports of all the who, what, when and where of how attacks played out before they were stopped

Reduce Alerts

Combining alerts into traces, and then monitoring traces based on typical app behavior means teams only receive an alert when real risk is present

Identity Monitoring

All events are tracked based on the account that executed them, whether that's a user, service account, or privileged account

Track events across ephemeral containers

Continuously build historical context across all events, even if the container or service that spawned the event is no longer running

Stop Drift

Profile running applications

Instantly

Config at build time only

 

Continuously identify patterns of app behavior via eBPF, container runtime, and control plane data

Automatically identify anomalies

Instantly see new process, network, or control plane activity

Prevent drift in real time

Flag suspicious behaviors or actively terminate unknown processes