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AUSTIN, Texas , April 15, 2025 /PRNewswire/ -- SecureIQLab , the premier cybersecurity validation provider, announces a groundbreaking Advanced Cloud Firewall (ACFW) validation initiative for testing cloud-native, Artificial Intelligence, and Machine Learning (ML) based workload security with leading enterprise-class cloud firewall security solutions. SecureIQLab will leverage their proprietary SocX®, an AI-powered cloud security validation platform that accurately and reliably validates the cloud firewall solutions' ML models, potential biases in the data used for training the ML algorithms, and their ability to provide protection and enforce compliance on the different stages of the Machine Learning (ML) workloads. The test period runs from July 1st to October 22nd , 2025, and all interested organizations with advanced cloud firewall solutions are invited to participate.
All leading enterprise advanced cloud firewall vendors are currently on the shortlist of participating companies. Enterprises continuously refine their Dev-Ops processes and are increasingly willing to adopt the cloud as part of their scalability, burstable, and ephemeral needs. This increase in enterprise cloud adoption has resulted in leveraging cloud-native infrastructure, such as Kubernetes and Microservices, more than ever before.
Furthermore, every organization is now becoming a data company as the cloud also gives frictionless machine learning pipeline deployment capabilities. This development necessitates cloud firewall solutions to adapt by enforcing security policies, inspect traffic entering the cloud infrastructure, and inspect traffic moving between multiple virtual private clouds (VPCs), whether they reside in the same region or different regions. This also increases the need for firewalls to segment networks on-demand while monitoring the protocol stack effectively by maintaining awareness of their applications and data and enhancing overall security, resiliency, and operational efficiency.
"With every cloud firewall vendor claiming to have ML capabilities integrated within their solution suite to navigate and solve complex security challenges, it becomes paramount that the security of organization's ML pipeline, data, and models are validated in a real-world deployment environment," said David Ellis , VP of Research at SecureIQLab. "Using our SocX® AI-powered platform, SecureIQLab will validate adversarial attacks, data positioning, flipping attacks, and Micro Segmentation capabilities of leading cloud firewall offerings." Some of the innovative highlights of SecureIQLab's Advanced Cloud Firewall CyberRisk Validation (ACFW) v2.
0 includes Cloud Native Workloads, Machine Learning Workloads, Cloud Data leakage via Cloud Centric Exploitation techniques, Protocol Tunneling & Port Hopping, Encrypted or Obfuscated Payloads and Evasive Command-and-Control (C2). SecureIQLab's MITRE ATT&CK framework, alongside the STRIDE model (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege), ensures advanced cloud firewalls are resilient against real-world attacks while systematically addressing vulnerabilities. By adopting these frameworks along with OWASP Cloud Testing Guidelines and the Cloud Security Alliance (CSA) Cloud Control Matrix, SecureIQLab ensures coverage of key application-level risks, industry-standard security controls, and compliance benchmarks.
SecureIQLab's overall security efficacy publication will align and reference these key validation metrics alongside operational efficiency and return on security investment (ROSI) parameters that enterprises rely upon. By referencing these resources, the ACFW v2.0 test methodology captures a broader set of vulnerabilities and aligns closely with established best practices in cloud security, providing deep into cloud firewall solutions.
In addition to their Advanced Cloud Firewall (ACFW) v2.0 testing, SecureIQLab will release the results for their flagship Cloud Web Application and API Protection (Cloud WAAP) v4.0 comparative test results of the leading vendors.
SecureIQLab also helps organizations with their Enterprise Browser validation, Extended Detection and Response (XDR), Cloud Ransomware Protection, Command and Control (C2), and Secure Access Service Edge (SASE) based evaluations. Interested enterprise security vendors are invited to contact SecureIQLab at [email protected] . To learn more about SecureIQLab's unique testing methodology, visit secureiqlab.
com . The SecureIQLab team will be available at RSAC 2025 from April 28 th to May 1 st . About SecureIQLab SecureIQLab is a US-based independent, third-party cloud security solution validation and advisory provider.
SecureIQLab's cloud security methodology is tailored to what enterprises want, blending research, risk management, and data modeling performed by our deep bench of security experts. SecureIQLab is a member of the Anti-Malware Testing Standards Organization (AMTSO), NetSecOPEN, and AVAR. Media Contact: David Ellis [email protected] SOURCE SecureIQLab.
