Critical Capabilities Comparison:
Where Do Other Cloud and Kubernetes Security Solutions Fall Short?
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.
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