Best Attack Surface Management Platforms for Python
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Compare the Top Attack Surface Management Platforms that integrate with Python as of July 2025
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This a list of Attack Surface Management platforms that integrate with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.
What are Attack Surface Management Platforms for Python?
Attack surface management (ASM) platforms enables organizations to monitor and manage their attack surface risk. Attack surface management software allows companies to view cyber risks and attack vectors related to external digital assets outside of their firewall. These platforms continuously scan and assess an organization’s digital infrastructure, including networks, systems, applications, and endpoints, to detect vulnerabilities, misconfigurations, and exposed assets that could be exploited by attackers. Compare and read user reviews of the best Attack Surface Management platforms for Python currently available using the table below. This list is updated regularly.
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Criminal IP
AI SPERA
Criminal IP is a comprehensive threat intelligence search engine that detects vulnerabilities of personal and corporate cyber assets in real time and facilitates preemptive responses accordingly. Originated from the idea that individuals and corporations would be able to strengthen their cyber security by proactively acquiring information about IP addresses attempting to access your network, Criminal IP uses its big data of more than 4.2 billion IP addresses to provide threat-relevant information on malicious IPs and links, phishing sites, certificates, industrial control systems, IoTs, servers, security cameras, and so forth. With Criminal IP’s 4 main features (Asset Search, Domain Search, Exploit Search, and Image Search), you can find IP risk scores and related vulnerabilities of searched IP addresses and domains, details on the exploit codes for each service, and assets that are left wide open to cyber threats in the form of images respectively.Starting Price: $0/month -
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RapidFort
RapidFort
Automatically eliminate unused software components and deploy smaller, faster, more secure workloads. RapidFort drastically reduces vulnerability and patch management queues so that developers can focus on building. By eliminating unused container components, RapidFort enhances production workload security and saves developers from unnecessarily patching and maintaining unused code. RapidFort profiles containers to understand what components are needed to run. Run your containers as normal in any environment, dev, test, or prod. Use any container deployment, including Kubernetes, Docker Compose, Amazon EKS, and AWS Fargate. RapidFort then identifies which packages you must keep, enabling you to remove unused packages. Typical improvements are in the 60% to 90% range. RapidFort also provides the option to build and customize remediation profiles, allowing you to pick and choose what to retain or remove.Starting Price: $5,000 per month -
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Trickest
Trickest
Join us in our mission to democratize offensive security with tailored best-in-class solutions that address the unique needs of professionals and organizations. Evolve from the terminal to a specialized IDE for offensive security. Use Trickest’s library of tool nodes, import your own scripts, or drop in your favorite open-source tools all in one place. Choose from template workflows for common tasks and a growing list of 300+ open source tools the security community loves. Run your workflows in the cloud with easy autoscaling and cost controls. Skip manual infrastructure setup and stop paying for idle VPSs. No more digging through filesystems for your old runs, use Trickest’s spaces, projects, and workflow versioning to stay on top of even the most complex projects. Trickest is for anyone who interacts with offensive security: enterprise security teams, red teams, purple teams, specialized pen testers, bug bounty hunters, security researchers, educators, etc.
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