TrustRadius

Argus vs. CyberBattleSim

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Argus
Score 6.1 out of 10
N/A
Argus is open source network audit technology, providing a network activity audit engine for all network traffic, not just IP. It was modeled after the Public Switched Telephone Networks (PSTN) Call Detail Record (CDR), and is designed to account for all network activity in a way that can support all types of network management functions, including security management.N/A
CyberBattleSim
Score 9.0 out of 10
N/A
CyberBattleSim, released by Microsoft 365 Defender Research, is an open source attack toolkit that enables network simulation for researches to observe how their networks fare against attack from adversaries.N/A
Pricing
ArgusCyberBattleSim
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
ArgusCyberBattleSim
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
ArgusCyberBattleSim
Considered Both Products
Argus

No answer on this topic

CyberBattleSim
Verified User
Anonymous
Chose CyberBattleSim
As compared to the battles with AttackIQ both applications are stable and stimulate the work given, However, while using the attackIQ the architect can automate the testing process and engineering team and fill the gaps. And it offers robust security through continuous, …
Best Alternatives
ArgusCyberBattleSim
Small Businesses

No answers on this topic

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Medium-sized Companies
PRTG
PRTG
Score 8.9 out of 10
PRTG
PRTG
Score 8.9 out of 10
Enterprises
PRTG
PRTG
Score 8.9 out of 10
PRTG
PRTG
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ArgusCyberBattleSim
Likelihood to Recommend
-
(0 ratings)
9.0
(0 ratings)
User Testimonials
ArgusCyberBattleSim
Likelihood to Recommend
No answers on this topic
Cyberbattle SIm is actually a simulation application with the implementation of Python Based open AI to implement automated cyber agents and to deploy them on stimulating environments and networks with vulnerabilities and attack vectors to analyze and implement the learnings.
Verified User
Anonymous
Read full review
Pros
No answers on this topic
  • Python Based open AI.
  • Uses reinforcement Algorithms for Training Purpose to Agents.
  • Simulation environment sets different for Attacker and Defender.
Verified User
Anonymous
Read full review
Cons
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  • Needs to create various nodes on the network and have to indicate that services are running, it might be good if automated.
  • I think everything is perfect, teaches us a lot.
Verified User
Anonymous
Read full review
Alternatives Considered
No answers on this topic
As compared to the battles with AttackIQ both applications are stable and stimulate the work given, However, while using the attackIQ the architect can automate the testing process and engineering team and fill the gaps. And it offers robust security through continuous, automated security control validation.
Verified User
Anonymous
Read full review
Return on Investment
No answers on this topic
  • Nice Implication for learning.
  • Open source application so no Investment is applicable.
  • Helps to understand and analyse the networks security for the device.
  • Trigger alerts in XDr or SIEM systems.
Verified User
Anonymous
Read full review
ScreenShots