In today’s digital landscape, network failures and data breaches are not just technical headaches or concerns for CISOs only, they can trigger major legal consequences. Regulatory agencies are sharpening their focus on cybersecurity, and class-action lawsuits, hefty fines, and reputational damage are real risks. For legal teams and boards, ensuring compliance, conducting robust due diligence, and being ready for litigation is not optional; it is a must.

On February 18, CISA has added the recently published Palo Alto Networks CVE-2025-0108 to the list of known exploited vulnerabilities. To date, according to GreyNoise, there are over 25 known distinct public sources attempting exploitation. Unmitigated, this vulnerability can lead to significantly weakened network defenses and open doors for data leakages, financial compromises, and ransomware down the road.

As enterprises continue to adopt hybrid and multi-cloud environments, the complexity of managing network security has increased significantly. Attack Surface Management (ASM) has emerged as a critical capability for identifying, monitoring, and mitigating risks across these dynamic environments. Forward Networks’ innovative digital twin technology delivers a compelling solution that addresses the challenges of effective ASM practices.

Even before packets start flowing, enterprise networks are complex, data-intensive repositories of topology, configuration, and state information. This information is often required to solve operational issues—like finding sources of unwanted traffic drops or protocol configuration errors—or to find problems before they become issues. Yet, this valuable information typically goes untapped because getting at it requires too much work.

Managing complex networks can feel like an endless challenge, especially when critical data is scattered across multiple tools and systems. Conflicting sources of truth (SOTs) introduce risks, leaving IT teams uncertain about which data to trust. Without an accurate view of your network, tasks like CVE management, troubleshooting, and compliance become overwhelming—and potentially introduce risk into the network.

Forward Networks has been named an Outperformer in the 2024 GigaOm Radar for Network Validation for the third consecutive year. Among 15 vendors, Forward Networks achieved the highest overall score for key features and business criteria, cementing its position as an innovator and leader in the market.

The vulnerabilities CVE-2024-0012 and CVE-2024-9474 exploit weaknesses in the PAN-OS management interface, allowing attackers to bypass authentication and escalate privileges, potentially resulting in unauthorized control over network devices. Addressing these vulnerabilities quickly and effectively is critical to maintaining security and compliance.

Forward Networks ensures that the world's most complex and mission-critical networks are secure, agile, and reliable. A mathematical model of the network, including computations of all possible traffic paths, is built by collecting configuration data and L2-L7 states from networking devices and public cloud platforms.

In the realm of artificial intelligence (AI), especially when applied to networking and security, the accuracy and reliability of data are paramount. AI systems are only as good as the data they consume, and for network engineers, feeding these systems with up-to-date and precise information can make the difference between optimal performance and costly errors.