Cloud assets are increasingly vulnerable, now accounting for one-third of all easily exploitable security issues. Organizations using multi-cloud environments—especially outside the major providers—face significantly higher exposure to both critical and easily exploitable risks. To manage this growing threat, businesses need full visibility into their external attack surfaces and should adopt proactive, automated platforms like CyCognito to detect and remediate vulnerabilities quickly.
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about And The Cloud Goes Wild: Looking at Vulnerabilities in Cloud Assets
CyCognito examined an anonymized set of ecommerce assets collected from November 2023 to October 2024. While there is evidence of better security practices, some basic vulnerabilities and misconfigurations persist. Retailers need to take the time to make sure their ecommerce sites are keeping valuable PII and financial information safe.
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about Gift or Grift? How Retailers Can Combat Cyber Threats This Season
Savvy security leaders are moving from the legacy framework of vulnerability management to the emerging framework of exposure management. To learn more about common challenges security teams might face on their journey to exposure management, check out this report: “Vulnerability Management to Exposure Management: A Roadmap for Modernizing Your Application Attack Surface Security.”
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about A New Framework: Understanding Exposure Management
On September 26, 2024, four critical RCE vulnerabilities were disclosed in components of the open-source printing system CUPS. CyCognito is investigating active detection methods for these vulnerabilities. Users can check if any assets are potentially vulnerable using provided filters in the CyCognito platform.
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about Emerging Security Issue: Multiple CUPS Vulnerabilities
On October 9th, 2024, five vulnerabilities affecting Palo Alto Networks Expedition before version 1.2.96 were disclosed by Palo Alto Networks. These issues include OS command injection, SQL injection, cleartext storage of sensitive data, and reflected XSS vulnerabilities. Though active exploitation has not been reported, CyCognito has released an active test and in-app notification covering these issues due to risks posed by their severity and ease of exploitation.
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about Emerging Security Issue: Multiple Palo Alto Networks Expedition PAN-OS Firewalls Vulnerabilities
CyCognito just published our 2024 State of External Exposure Management Report. In this report, we looked at where serious issues hide on the average attack surface, how basic protections can help (or fail to) protect critical assets, and the ways that deprioritizing issues can help security teams spend their time on the right vulnerabilities.
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about Defensive Playbook: Understanding New Trends in External Risk with CyCognito’s State of External Exposure Management Report
CyCognito shares insights showing how security teams can learn from previous incidents and leverage exposure management techniques to stay ahead of attackers.
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about The Biggest Security Nightmares from 2023 and How They Could Ruin Your 2024
Networking equipment vendor Juniper Networks recently exposed current and former customer information due to a Salesforce misconfiguration. While incidents like these can give attackers valuable data and footholds into your network, leveraging exposure management best practices and processes can help organizations mitigate these risks.
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about The Long Tail of the Supply Chain: Leveraging Exposure Management to Mitigate Risk from Current or Former Vendors
Cyber Monday is right around the corner and millions of consumers will flock to ecommerce websites in search of the best deals. But can shoppers be assured that the sites they do business with are secure and compliant? Before and during the holiday shopping season, retailers need to ensure that ecommerce websites with missing WAFs, cryptographic vulnerabilities, or easily exploited critical issues.
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about This Holiday Shopping Season, Your Attack Surface is Open for Business
Generative AI is a form of artificial intelligence that generates new content –including text, images, and video – in response to user prompts. These AI models are trained on huge volumes of data and use algorithms to create content that has a similar structure to their training data
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about No Room for Error: Experiments with Generative AI in EASM
