Global cyber warfare is pushing organizations to stop treating compliance as a finish line. I see this constantly with my CMMC 2.0 clients -- the threat landscape doesn't pause between audits, and nation-state-linked campaigns are specifically designed to exploit that gap. Here's a scenario I walk clients through: a mid-sized defense contractor achieves CMMC compliance, checks the box, then relaxes continuous monitoring. A supply chain compromise quietly introduces a trusted vendor credential into their environment. No alarm fires because the access *looks* legitimate. The breach only surfaces months later during a routine review -- by then, IP is already gone. What global cyber warfare has forced is a real shift from "are we compliant?" to "are we actually visible right now?" That's why I push clients toward continuous monitoring tools like PILLR SOC and SaaS Alerts -- not just to satisfy an auditor, but because nation-state tactics specifically exploit the quiet period *after* compliance is declared. The practical takeaway: your compliance program needs to assume breach is already in progress. Build your controls around rapid detection and response, not just prevention. That mindset shift is what separates organizations that survive an incident from those that don't find out until it's on the news.
I've built loss prevention programs from scratch at Amazon and now run McAfee Institute training investigators and analysts worldwide, so I see how "global cyber warfare" turns into real cases: it forces defenders to treat evidence like an operational weapon, not an afterthought. One wrong click can alter timestamps or corrupt files, and that's exactly what sophisticated actors count on. One major evolution is evidence preservation getting pulled up to the front of the incident, with legal and cross-border coordination built in. Preservation orders to ISPs, hard drive imaging, network captures, and screenshots have to be documented with military precision before logs evaporate or get challenged in court. Scenario: a ransomware crew hits a U.S. hospital, routes command-and-control through infrastructure in multiple countries, and cashes out via crypto. The "warfare" part is the jurisdiction game--your team has to move fast on preservation locally while coordinating via INTERPOL channels and MLAT processes so the same evidence is admissible across borders. Practical takeaway: pre-build your evidence playbook and your relationships (legal, international, and private-sector) before the incident. When the attack lands, you won't have time to exchange business cards--you'll need a chain of custody that survives both technical scrutiny and geopolitics.
AI and Cybersecurity: The Arms Race Nobody Is Winning Yet AI hasn't changed the fundamental nature of cyber conflict. Attackers want in. Defenders want them out. What AI has changed is the speed and scale at which both sides operate. And right now, attackers are getting more out of it than defenders are. That's the uncomfortable truth I share with peers when this topic comes up. On the offensive side, AI has lowered the skill floor dramatically. Crafting a convincing phishing email used to require effort like language skill, context, research. Today it takes a prompt. Attackers are using AI to generate highly personalized lures at scale, automate reconnaissance and probe defenses faster than human analysts can respond. What used to require a sophisticated threat actor now requires very little sophistication at all. On the defensive side, AI is genuinely useful but we're still learning how to use it well. Anomaly detection, alert triage, log analysis, etc. these are real wins. My team spends less time drowning in false positives than we did three years ago. That matters. But here's what I caution against: treating AI as a strategy rather than a capability. I've seen organizations invest in AI-powered security tools and quietly reduce analyst headcount in the same breath. That's a mistake. AI surfaces signals. Humans still need to make judgment calls especially in ambiguous, high-stakes situations where context matters enormously. The scenario that concerns me most isn't a dramatic AI-generated cyberweapon. It's the slow, quiet erosion of human judgment inside security teams who over-rely on automated outputs they don't fully understand. For CISOs, the mandate is clear. Adopt AI deliberately. Understand what your tools are actually doing. And never let automation become a substitute for thinking. The arms race is real. But the organizations that will navigate it best aren't the ones with the most AI. They're the ones who know exactly where human judgment still has to win.
One clear way cybersecurity is evolving because of global cyber warfare is an AI-driven arms race that pushes defenders to adopt AI-aware security controls and automation. For example, a state-backed actor could use AI to generate highly convincing phishing, deepfakes, and adaptive malware to gain initial access to a city’s emergency services. Security teams are responding with AI-based anomaly detection and automated response playbooks to spot and contain novel behaviors more quickly while keeping human oversight in the loop. Organizations must pair those tools with phishing-resistant MFA and network segmentation so automation enhances speed without creating new blind spots.
One of the biggest shifts I'm seeing is that attacks are starting to feel a lot more patient and coordinated — less smash-and-grab, more like someone quietly sitting inside your environment. A real example we're seeing more often: someone clicks what looks like a normal internal email, their credentials get captured, and nothing obvious happens right away. No alarms, no shutdown. The attacker just stays there. Over the next couple of weeks, they learn how the business operates — who approves payments, how vendors are handled, what systems matter most. Then when the timing is right, they either move money, lock systems, or disrupt operations in a way that causes maximum damage. That kind of approach wasn't as common before. It feels a lot closer to how you'd expect a nation-state or organized group to operate, not just a random hacker looking for a quick win. For businesses, the takeaway is pretty simple: it's no longer just about keeping attackers out — it's about assuming someone could already be in and making sure they can't do much damage. [?] Darren Coleman CEO, Coleman Technologies Inc. Cybersecurity & AI Strategy Advisor https://colemantechnologies.com
As CEO of Impress Computers since 1993, leading cybersecurity for Houston manufacturers and construction firms, I've seen global cyber warfare drive evolution toward granular network control, verifying not just users but devices and pathways. We've rolled out ThreatLocker Network Control after baselining critical systems and piloting on limited groups, ensuring only essential traffic flows while blocking unnecessary paths. Scenario: State actors infiltrate a manufacturing plant's endpoint during a supply chain push; policies halt lateral spread to production servers, allowing quick isolation without halting field operations. This keeps downtime minimal--phased tuning refines it ongoing, so threats from persistent campaigns don't grind businesses to a halt.
Cybersecurity is quickly becoming more of a perimeter-oriented, vulnerability-based field to a continuous, adversary-driven validation model-mostly carried out based on the observed tactics of the global cyber warfare. Nation-state attacks are no longer isolated incidents but continuous, automated, and built into supply chains, applications, and user work processes. This change is compelling organizations to redefine the concept of security as not a fixed control mechanism, but as a living, constantly tested ability. A very evident development is the emergence of test-based security validation, which is based on actual attack simulations. Conventional methods, such as periodic penetration testing or reactive patching, cannot withstand those adversaries that act in an automated way, use AI-assisted reconnaissance, and have multi-stage attack chains. The question that organizations must now convince themselves of is whether their defenses are capable of withstanding the same methods of active cyber conflicts. Scenario: Take a case of a modern SaaS platform that serves the worldwide users. An attacker might not quite attack the infrastructure directly in a cyber warfare situation but rather use a bug in business logic in a user flow such as bypassing multi-step authentication by manipulating API endpoints or combining low-severity bugs to create a high-impact exploit. This is reminiscent of state-sponsored campaigns, in which minor weaknesses are exploited on a massive scale. In return, cybersecurity teams are shifting to platforms that would model end-to-end attack paths, over real user flows, instead of scanning individual endpoints. These systems keep repeating attacker behaviors over and over again, reconnaissance, exploitation, validation and give evidence of exploitability, and the false positives are filtered out and only the real risk is addressed. This development is essential as far as leadership is concerned. It is not, anymore, the question whether we are safe. but instead, "Are we able to fight with an actual, developing enemy, now? Cybersecurity, which is shaped by the global cyber warfare, is emerging as a professional field of life-long-guarantee- the resilience is not determined by the controls deployed, but the attacks repelled in real-life.
One major way cybersecurity is evolving because of global cyber warfare is the shift toward "Zero Trust Security" architectures. This approach assumes that no user, device, or system should automatically be trusted, even if it is inside the network. Why this change is happening In modern cyber warfare, attackers often infiltrate networks using stolen credentials or compromised insiders. Traditional security models assumed that anything inside the network perimeter was safe. Cyber warfare has shown that once attackers get inside, they can move laterally and cause major damage. Scenario Imagine a government energy company that manages power grids. A hacker group sponsored by a rival nation steals an employee's login credentials through phishing. In an old security model, the attacker could log in and move freely inside the network, eventually accessing the control systems of power stations. This could allow them to shut down electricity in multiple cities. With Zero Trust cybersecurity: - The system continuously verifies the user's identity. - Access is limited only to specific systems the employee needs. - AI-based monitoring notices unusual behavior (e.g., login from another country). - The system automatically blocks access and alerts security teams. Result The attack is stopped before the hacker reaches critical infrastructure.
Nation states actors are no longer just stealing data, they're accessing inside critical infrastructure for future disruption in time of need. A Chinese state-sponsored group (Volt Typhoon) maintained access insides US communications, water, transportation systems and more for at least couple of years according to a NSA/FBI investigation. They didn't act on any target, or actively were stealing data, they were quietly embedding themselves to the could disrupt operations if needed. This is fundamentally changing how cybersecurity operates. Traditionally, cybersecurity tools and procedures were focused on detecting attacks as they happen - malware execution, data exfiltration and more. But when the malicious actor is inside the network while doing almost nothing, and remaining quite, the detection models breaks. The evolution of detection and response is switching to continuous monitoring and investigations (forensics) platforms that hunt for suspicious activity 24/7. The growth of AI and LLM fields accelerates the ability of said tools to parse months and years of data with relative ease, the same activity that took an analyst full day (or week) could take 30 minutes. The bottom line is that cybersecurity is evolving from incident response to persistent AI enhanced threat hunting and forensics.
I've spent 20+ years building and supporting business networks in Northeast Ohio, and now at Tech Dynamix I'm knee-deep in security audits, proactive monitoring, and incident planning. One way cyber warfare is changing cybersecurity: attackers are industrializing identity attacks, because getting one set of credentials can beat a whole stack of perimeter tools. Scenario: during a geopolitical flare-up, a manufacturing firm gets hit with a "Microsoft 365 security alert" that's written well enough to pass casual scrutiny, and a user approves an MFA prompt in a hurry. The attacker logs into M365, creates a stealth inbox rule, then uses the compromised account to push convincing payment-change emails to vendors--no malware, no noisy exploit, just identity and persistence. That's why we've been pushing clients toward layered identity controls: tighter conditional access, phish-resistant MFA where possible, and monitoring for abnormal sign-ins + mailbox rule creation. It's also why I keep telling SMBs that "antivirus + annual training" isn't a plan anymore when AI is accelerating phishing and password attacks.
One clear shift is that cybersecurity is moving from crime prevention to conflict readiness. In the past, most threats were financially motivated (ransomware, fraud). Today, with global cyber warfare, we're seeing state-aligned actors targeting companies as part of broader geopolitical campaigns. That means attacks are more persistent, coordinated, and sometimes not even profit-driven. Scenario: A mid-sized financial services company is not a direct target, but operates in a country involved in a geopolitical conflict. A state-linked group begins attacking supply chains and service providers in that region to create economic disruption. Using leaked credentials and previously exposed assets, attackers gain access through a third-party vendor. Instead of immediate ransomware, they quietly exfiltrate sensitive data and disrupt systems at a critical moment (e.g., during peak trading hours). The goal isn't just money. It's instability, loss of trust, and economic pressure. What's changed: Attacks are no longer isolated. They are strategic and coordinated Early signals (credentials, chatter, exposure) matter more than ever The impact is broader: operational disruption, regulatory risk, and brand damage The implication for companies is clear: You're no longer just defending against hackers. You're operating in an environment where cyber threats are part of global conflict. That's why cybersecurity is evolving toward early detection, exposure management, and resilience, not just incident response.
There is an element of Cyber Warfare that is based on Information Operations. The Ukraine-Russia conflict started with not only technical cyberattacks, but there was an element connected to the narratives that were pushed by Russia online through very complex Misinformation and Disinformation campaigns. Those techniques that were used in those InfoOps proved so successful that now cybercrime actors are using them in for-profit campaigns based on brand duplication, executive impersonation, cryptoscams, hiring frauds, and more. The patterns are exactly the same: they use social media platforms (including ads) to push stories and narratives that end up in fraud against individuals and organizations and even stock market manipulation. This has gone from a crisis communications domain to a cybersecurity one and it has been inspired by cyber warfare.
The trend in cybersecurity is turning away from perimeter defense methods and moving toward an assumption of breach. A transition away from perfect protection and the current view that resilience is more important. With every country on the attack. You now need to think as though your network has already been breached every day because that is how consistent and invisible cyberwarfare is now in effect. As an example of supply chain risk, if your vendor has a compromised software update, your firewall will not provide any protection because the traffic will look legitimate. What is required today is to have every software update tested in automated sandboxes before they have any access to your core database. You are not only trying to keep the bad guys from breaking in but are also trying to ensure that you can keep your business running even after they do. Real security is not simply a wall that you erect; it is the ability to continue operating and keep your data secure when the inevitable occurs. This shift has moved security from being based on 'if' something happens, to 'when' something happens. Being prepared for that time is the only method you can use to successfully operate in the hostile digital market today.
I run ITECH Recycling in Chicago, and a big part of my world is what happens after an "attack" or geopolitical spike--suddenly companies are retiring hardware fast and asking for provable, compliant data destruction (HIPAA/GLBA/NIST). One way cybersecurity is evolving because of global cyber warfare is that orgs are treating end-of-life devices as active threat surfaces, not junk. A common war-driven shift I see is toward **physical, chain-of-custody controls** for storage media instead of trusting wipes and "we deleted it." When tensions rise and targeted intrusion becomes more likely, executives stop gambling on software-only sanitization and demand serialized tracking, documented handling, and verified destruction so data can't be recovered later. Scenario: a healthcare group in Chicagoland accelerates a server refresh after hearing about state-backed targeting of their sector; they've got racks of old drives with patient records and credentials. We roll in with a mobile unit, log each drive by serial number onsite, then perform physical destruction and provide documentation--because the risk isn't just ransomware, it's data being quietly recovered from "retired" hardware months later.
Coming from a military background and now running a security tech company, I've watched physical and digital threats merge in ways most people don't anticipate. One shift I'm seeing directly in my industry: nation-state cyber warfare is accelerating attacks on physical infrastructure through the connected devices meant to protect it -- cameras, sensors, IoT systems. The same edge computing and cellular-connected units we deploy are now high-value targets because compromising them means blinding a site entirely. Real scenario: a large equipment yard running AI-powered mobile surveillance gets hit not through the fence, but through the camera network itself -- attackers kill the feed remotely during an off-hours window, and theft happens with zero footage. That's not theoretical anymore. It's pushing operators like us to treat every connected device as its own security perimeter, not just an endpoint. The evolution happening right now is zero-trust architecture applied to physical surveillance hardware -- meaning the camera doesn't just record, it has to continuously verify its own network integrity. If you're managing any IoT-connected security systems, start asking your vendors hard questions about firmware update protocols and network segmentation. That's where the real vulnerability lives.
A major evolution in cybersecurity is the need to move beyond defending network infrastructure to instead defend a company's outward-facing information layer from weaponized consensus attacks in the form of bot-driven disinformation. Global cyber warfare tactics have proliferated, and now malicious actors launch attacks against a brand's market valuation by generating fake public outrage. Cybersecurity now entails defending a company's market value from algorithmic attacks. As the COO and head of communications technology at Ringy, I see how these automated floods can bypass traditional defenses and pose grave business risks. The August 2025 Cracker Barrel incident is a textbook case of this new style of corporate sabotage, involving a coordinated disinformation campaign against a minor branding change. Analysis from Cyabra showed that 21% of the profiles driving the outrage, and 49% of those spreading the boycott hashtags, were in fact fully inauthentic. These bots targeted the CEO with uniform talking points, creating the illusion of widespread customer rejection. This wasn't merely a reputational incident; it was an economic attack vector. The artificial flooding campaign exposed millions of real users to coordinated negative messaging, causing an immediate 10.5% drop in the company's stock price. Within days, these automated accounts erased $100M of market valuation and forced the brand to abandon its initiative. Adaptations to this new environment necessitate integrating bot-detection capabilities into organizational operational and cybersecurity playbooks. The advent of these attacks renders traditional social listening analytics poisonous because measuring sentiment becomes meaningless with the significant presence of bot accounts. The infosec world must now equip marketing and communications teams with the ability to detect early warning signs indicating an attack layer up on social media: sudden surges of accounts with zero history, repetitive posting behavior across custom hashtags, remarkable activity rates approaching 24/7, etc. Verifying whether a threat is legitimately stakeholder-driven versus coordinated algorithmic noise allows executives to avoid $100M strategic mistakes caused by the social media presence of a tiny number of bots pretending to be thousands of real people.
I'm a veteran web programmer and co-founded WCAG Pros, where I personally oversee page-by-page audits and remediation--so I spend a lot of time inside the real attack surface: the UI layer, auth flows, forms, and third-party scripts that users actually touch. One way cyber warfare is changing security is pushing "trust nothing from the browser" to the extreme: more aggressive bot and abuse defenses that have to be built without breaking accessibility. I'm seeing more sites add JavaScript-only challenges, device fingerprinting, and session "proof of work" patterns, and those can quietly lock out screen readers, keyboard users, or anyone with strict privacy settings. Scenario: a business gets hit with credential-stuffing tied to a geopolitical spike, panics, and throws a CAPTCHA + keyboard-trapping modal on the login/reset flow. The bots still adapt, but now legit users can't sign in; we end up remediating by making the challenge accessible (proper labels, focus handling, no mouse-only steps) and shifting the real controls server-side--rate limits, anomaly checks, and step-up verification that works even when JS fails.
The evolution that I find most significant and underreported is the blurring of the line between military infrastructure and civilian infrastructure as a target category. Traditional warfare had some implicit boundaries around what constituted a legitimate target. Cyber warfare has systematically dismantled those boundaries because modern civilian systems, power grids, water treatment facilities, hospital networks, financial clearing houses, are simultaneously the backbone of civilian life and the nervous system of a functioning state. Attacking them hurts both simultaneously which makes them strategically attractive in ways that conventional military targets are not. The evolution this is forcing in cybersecurity is a fundamental rethinking of who is responsible for national defense. Previously defense meant military assets. Now a regional hospital's ransomware vulnerability is a national security problem because an adversary state can weaponize it during a moment of geopolitical tension to create civilian panic and resource diversion without firing a single conventional weapon. The scenario that illustrates this most clearly is what happened with Ukraine's power grid attacks attributed to Russian state actors. In the middle of winter, residential areas lost electricity not through bombs but through carefully staged intrusions into industrial control systems. The cybersecurity response required simultaneously involved utility engineers, government intelligence agencies and private sector threat analysts working in coordination that no existing institutional framework had actually prepared for. What this is forcing globally is the creation of public private threat sharing infrastructure that would have seemed like government overreach a decade ago but now feels like basic survival architecture for any nation serious about resilience.
I see cybersecurity shifting toward active defense, the same way we prepare for emergencies at PuroClean. I reviewed a case where a supplier system was targeted through a weak vendor link, not the main network. We tightened access controls and monitored third party activity, reducing exposure risk by 30 percent. Global cyber conflict is pushing attackers to use indirect entry points more often. Teams now focus on continuous monitoring instead of static protection. It shows security must adapt faster than threats. The key is to secure every connection and stay consitent with real time defense.
Business enterprises use information technology (IT) to manage their operations while creating safe and secure environments for employees and customers. The Cyber Security Domains have moved past planning for the occurrence of cyber incidents to mitigating the impact of cyber incidents on businesses' operations and their ability to recover from cyber incidents. The rise of global cyber warfare has highlighted that businesses can experience interruptions to their operations through cyber-attacks, regardless of the strength of their cyber security defences. As indicated in the case of a ransomware attack on a dispatch or routing software impacting delivery vehicles, employees and inventory, the successful completion of an operation can fail due to the complete failure of communication and scheduling systems. Businesses should therefore implement offline work processes, backup methods of communicating, and established plans for responding to cyber incidents to expedite a successful recovery from an attack.