This is a moment of acceleration and administrators need to match the pace, maintain sharper network visibility, and quickly contain threats before they spread.
There’s a new need for speed across government networks. Sophos recently documented how automation is compressing reconnaissance time from three days to three hours, giving bad actors a head start to exploit vulnerabilities across distributed federal ecosystems. The threat is further compounded by hackers reverse-engineering common vulnerabilities and exposures (CVEs) and attacking backdoors almost as soon as they’re reported.
Armed with AI, ransomware gangs and nation-state actors are moving faster and hitting harder. Meanwhile, on the defensive side, administrator attention is split across separate dashboards and different alert streams. This is a moment of acceleration and administrators need to match the pace, maintain sharper network visibility, and more quickly contain threats before they spread.
Hackers are moving more quickly than ever
Both the volume and velocity of attacks are ramping up. Machine learning and artificial intelligence are taking over much of the cyber “grunt work,” enabling hackers of all sizes to reach new levels of scale. Automated vulnerability discovery and superhuman levels of correlation result in attacks that are both swifter and more precisely targeted against public infrastructure and essential services.
For example, the window between the reporting of a vulnerability and its exploitation is shorter than ever. In April, a critical flaw in the Marimo open-source Python notebook platform was actively exploited within 10 hours of public disclosure.
Then, once inside, hackers can more efficiently identify pathways to penetration. Researchers at Sophos recently granted a black-hat agent access to a regular, unprivileged user account on their network to see how quickly it could find entry points and potential weaknesses. The tool mapped the entire environment in a few hours and identified 23 specific attack paths, including routes to achieve full administrator control over the network.
“The reality is that adversaries no longer need weeks or months to exploit vulnerabilities,” Kristin Darby, chief information officer for the state of Tennessee, said in May at the House Homeland Security Subcommittee on Cybersecurity and Infrastructure Protection. “They can now move laterally across systems in minutes or seconds.”
Agencies are hitting network speed bumps
At the same time, network speed bumps prevent administrators and agencies from keeping up.
For starters, the ongoing divide between IT and OT creates persistent blind spots and gray areas that attackers thrive on. Each side of the network too often operates with its own dashboards, which, in turn, fragment visibility, separate alert streams and slow responsiveness. These siloed teams work with different data sources and are less effective at catching correlations.
Further, legacy infrastructure sprawl means admins don’t know what’s connected and what needs updating. This results in significant security debt that complicates full asset visibility, hinders patching and obscures “normal” operations. At a time when attackers are moving at machine speed, reactive monitoring and flatfooted defenses like these just aren’t good enough.
Building agility and visibility into the stack
Put simply, teams need to meet speed with speed. This starts with a better understanding of what’s under your watch. Create a foundation for network monitoring that breaks down silos and surfaces issues at a glance. Unified monitoring that spans both IT and OT gives teams a single source of truth — eliminating the blind spots that form where the two environments meet.
Paessler worked with South Carolina’s School District of Pickens County to show what this kind of visibility looks like in practice. Managing critical infrastructure across 32 sites and 100 miles of fiber, the district deployed unified monitoring across 2,600 sensors to oversee switches, servers, bandwidth and power systems. When a fiber failure hit several sites, the IT team caught and resolved it before teachers even noticed. Further, when network segments began crashing and rebooting, alerts gave the team time to troubleshoot before it became a front-end problem.
Backed by a network architecture that fosters visibility, teams should embrace automation. Intelligence isn’t just for hackers — AI-assisted anomaly detection establishes behavioral baselines and flags deviations in real time. By doing so, agencies unlock the data at their fingertips, automatically detect unusual activity, and have a better chance to fight fire with fire.
Also remember detection is only half the battle — the other half is quick and considered containment. Teams need to wargame intrusions and double down on segmentation, zero trust and incident response.
Amid the coming flood of vulnerabilities, agencies need to ask themselves two questions: Are we fast enough to detect an attack as it happens? And, if breached, can our infrastructure contain the blast radius? Getting both right could make the difference between a thwarted attack and a damaging one.
David Montoya is the presales director at Paessler GmbH.
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