Sentry Technology Solutions
At Sentry, we navigate the complex tech landscape for you. Whether facing cybersecurity threats, operational challenges, or seeking strategic AI tech advantages, we’re your trusted guide. Our expert team creates clear plans for your specific needs, safeguarding your business and optimizing your tech investment. With Sentry, boost security, productivity, profit, and peace of mind.
Our team is large enough to support nation-wide businesses like we do for one of our clients at 56 locations in 26 states, but small enough to know your name when you call. We serve small local businesses along with large nationwide companies. We're here for you.
Our experienced team of skilled professional tech's can help your business stay safe, compliant, and protected while innovating with cutting edge technology through automations, AI and more.
Sentry is your trusted technology guide.
Third-Party Risk in 2026: Managing Vendors Before They Manage You
Managing third-party risk in 2026 means treating every vendor relationship as a security event with a beginning, a middle, and an end. The strongest programs follow a lifecycle checklist. Verify before signing. Lock in protections at onboarding. Monitor continuously. And decommission cleanly when the relationship ends. Your contract is one moment. Risk lives in every other moment.
Managing third-party risk in 2026 means treating every vendor relationship as a security event with a beginning, a middle, and an end. The strongest programs follow a lifecycle checklist. Verify before signing. Lock in protections at onboarding. Monitor continuously. And decommission cleanly when the relationship ends. Your contract is one moment. Risk lives in every other moment.
Read full post on sentrytechsolutions.com
From Compliance Checkbox to Culture: Building a Team That Actually Learns New Tech
Most technology training fails because it stops at the compliance checkbox. To build a team that actually learns new tech, leaders must replace one-time training events with a continuous learning culture: short, role-specific lessons, ongoing reinforcement, manager-led adoption, and clear connections between new tools and the work people do every day.
Most technology training fails because it stops at the compliance checkbox. To build a team that actually learns new tech, leaders must replace one-time training events with a continuous learning culture: short, role-specific lessons, ongoing reinforcement, manager-led adoption, and clear connections between new tools and the work people do every day.
Read full post on sentrytechsolutions.com
PCI Compliance for Franchise Systems: What Every Multi-Location Owner Needs to Know
A franchisor playbook for splitting responsibility, building brand standards, and keeping every location compliant.
A franchisor playbook for splitting responsibility, building brand standards, and keeping every location compliant.
Read full post on sentrytechsolutions.com
Cyber Liability in M&A: The Risk Nobody Talks About Until It Is Too Late
Sentry Technology Solutions | M&A Advisory | June 18, 2026
Sentry Technology Solutions | M&A Advisory | June 18, 2026
Read full post on sentrytechsolutions.com
AI-Ready Infrastructure: Is Your Network Built for What Is Coming?
Most networks are not ready for AI. Only 15% of organizations have infrastructure fully capable of handling modern AI workloads, while 83% of companies plan to deploy AI agents in the next year. AI-ready infrastructure is not a single product. It is the combination of network capacity, low-latency edge compute, scalable storage, clean data pipelines, and security designed for decisions made at machine speed. The Gap Between Ambition and Wiring AI is in every pitch deck, every earnings call, every Monday morning meeting. Nearly 88% of companies now use AI in at least one business function.2
Most networks are not ready for AI. Only 15% of organizations have infrastructure fully capable of handling modern AI workloads, while 83% of companies plan to deploy AI agents in the next year. AI-ready infrastructure is not a single product. It is the combination of network capacity, low-latency edge compute, scalable storage, clean data pipelines, and security designed for decisions made at machine speed. The Gap Between Ambition and Wiring AI is in every pitch deck, every earnings call, every Monday morning meeting. Nearly 88% of companies now use AI in at least one business function.2 The urgency is obvious. What is less obvious, and far more dangerous, is the quiet gap between where your business wants to go with AI and what your existing network can actually carry. Most business networks were built for a different era. They were designed for email, file shares, web browsing, and the occasional video call. Agentic AI, real-time inference, and copilots embedded in every app are not occasional traffic. They are constant, bursty, and unforgiving of latency. You are the one accountable for whether the business can actually use AI. The good news is that becoming AI-ready is a process, not a moonshot. You do not need a data center in Reykjavik. You need a plan. What Does “AI-Ready Infrastructure” Actually Mean? AI-ready infrastructure is a network and compute environment that can support AI workloads today and scale to support more of them tomorrow, without creating security, performance, or cost surprises. Practically, that means five things working together: Network capacity and low latency. AI-powered operations, especially inference and agentic workflows, demand near-zero latency to function effectively.3 Compute built for AI workloads. GPUs, accelerators, and cloud access sized for the models you plan to run. Cisco’s 2024 AI Readiness Index found only 21% of organizations had sufficient GPUs for current and future demand.4 Clean, accessible, well-governed data. AI is only as good as the data it touches. Only 19% of organizations have fully centralized data infrastructure.5 Security designed for machine-speed decisions. Identity, access, and monitoring that assume AI agents will act on behalf of your people. Governance and observability. Visibility into what AI is doing, with whom, on which systems, at what cost. Miss any one of these, and you are not AI-ready. You are AI-aspirational. Why Your Current Network Is Already Behind Here is the uncomfortable part. Cisco’s 2025 AI Readiness Index found that 54% of organizations say their networks cannot scale for today’s complexity or data volume.1 That is before most have deployed agentic AI at scale. Three specific pressures are reshaping what “enough” looks like: Inference is latency-sensitive. AI training happens in big centralized data centers, but inference, the live decisions AI makes in your apps, needs to happen fast and close to the user. Industry guidance is pushing enterprises toward scalable edge infrastructure to keep data processed close to the source.3 Agents create compounding traffic. When AI agents talk to other agents, every hop matters. Small delays that were invisible at human speed become costly at machine speed. With 83% of companies planning to deploy AI agents, the volume of machine-to-machine traffic on your network is about to change shape.1 AI workloads spike unpredictably. Unlike payroll or billing, AI load is not a calendar event. A single new use case can multiply bandwidth requirements overnight. The Five Pillars of an AI-Ready Infrastructure If you want a framework to evaluate where you stand, here it is. 1. Network You need bandwidth, low latency, and the ability to segment traffic. That usually means a modern SD-WAN or SASE posture, Wi-Fi 6E or better for in-office AI workloads, and quality-of-service policies that understand AI traffic is not optional. 2. Compute Not every business needs on-premises GPUs. Most do not. What they need is a clear answer to: where does our AI workload run, at what cost, under what latency ceiling, with what data residency requirements? For many SMBs and franchise operators, the right answer is a mix of cloud inference plus thoughtful edge compute at key locations. 3. Data Your AI is only as strong as your data pipeline. That means knowing where data lives, who owns it, how it is cleaned, and how it gets to the model that needs it. It also means resolving the data silos that will otherwise quietly starve your AI investment. 4. Security and Identity Identity is the new perimeter, and AI agents need identities too. You need conditional access, strong MFA, logging, and a clear policy on what AI agents are permitted to touch. Assume agents will, at some point, try to do something you did not plan for. Design for that. 5. Governance and Cost Control AI consumption can get expensive fast. Governance is not just about privacy policies. It is about knowing which AI tools are running in your environment, what data they see, and what they cost per month. Without that visibility, your AI budget is a hope, not a plan. How Do I Assess My AI Readiness? A practical first pass takes about 30 minutes with your leadership team and your IT partner. Ask: Can our network deliver consistent, low-latency performance to every user, including remote and in-store? Do we know where our most important business data lives, and is it clean enough to feed an AI model? Do we have MFA, endpoint protection, and logging in place across every user and device? Do we know which AI tools our team is already using (approved or not)? Do we have a budget line item for AI consumption and a way to monitor it? If you hesitate on more than two, your infrastructure is not ready to carry the AI story your leadership team is already telling customers and investors. Where the Technology Maturity Model Fits Sentry built the Technology Maturity Model (TMM) because infrastructure cannot be fixed in one sprint. It is built in stages: Operate, Secure, Integrate, Innovate. AI-ready infrastructure lives at the Integrate and Innovate stages of the model. You cannot leapfrog. If your organization is still firefighting tickets (Operate) or patching exposures after the fact (Secure), trying to bolt on agentic AI will amplify whatever is already brittle. The Pacesetters in Cisco’s 2025 research are not magical. They are disciplined. 98% of them design their infrastructure with future demand in mind.1 That is exactly what the TMM forces a business to do: decide what the next two years need to look like and build toward it. The Cost of Waiting IDC forecasts global AI infrastructure spending will reach over $902 billion by 2029.6 Your competitors are spending now. So are your vendors. So is every platform your business depends on. Downtime caused by under-built infrastructure is expensive even when AI is not in the picture. Gartner’s industry figure for IT downtime is roughly $5,600 per minute, with small and mid-sized businesses typically feeling $137 to $427 per minute depending on industry.7 Add AI-dependent workflows to that equation, and the cost of an outage is not just lost productivity. It is a customer-facing AI experience that fails in front of the very people you were trying to impress. FAQ: AI-Ready Infrastructure Do I need on-premises GPUs to be AI-ready? No. Most small and mid-sized businesses will never need on-prem GPUs. Cloud inference, thoughtful edge compute, and disciplined data practices are usually the right starting point. What is the biggest AI infrastructure mistake businesses make? Assuming AI is a software problem. Leaders buy AI tools, then find the network, data, and security underneath them cannot support what the tools promised. How long does it take to become AI-ready? Most organizations can reach a baseline in 90 to 180 days. Reaching the Innovate stage of the Technology Maturity Model, where AI is integrated into the business model, typically takes 12 to 24 months of focused work. Is AI-ready the same as cloud-ready? No. Cloud readiness focuses on where workloads run. AI readiness adds requirements around latency, data quality, model governance, and agent-aware security. A business can be fully in the cloud and still not AI-ready. Who owns AI readiness inside the company? It is a shared responsibility between the CEO, CIO or technology partner, and the business unit leaders deploying AI. One-person ownership is a red flag. So is zero-person ownership. The Sentry Take The question is not whether AI will change your business. It is whether your infrastructure can keep up with the AI your team is already using, with or without permission. You do not need a research lab. You need a roadmap, a partner who understands what AI-ready actually means, and a commitment to build in stages. Trusted. Secure. Connected. Ready to assess where your infrastructure stands? Let’s have a 30-minute conversation. Visit sentryitsolutions.com to schedule a Technology Maturity Model assessment. References Cisco, “2025 AI Readiness Index: Realizing the Value of AI,” October 2025. Retrieved from cisco.com. McKinsey & Company, “The State of AI 2025: Agents, Innovation, and Transformation,” November 2025. Retrieved from mckinsey.com. Cisco Blogs and Lightpath Communications industry guidance, “Optimizing Networks for AI in 2025” and “AI-Ready Infrastructure: A New Era of Data Center Design,” 2025. Retrieved from blogs.cisco.com and lightpathfiber.com. Cisco, “2024 AI Readiness Index,” November 2024. Retrieved from cisco.com. Cisco, “2025 AI Readiness Index,” October 2025. Retrieved from cisco.com. IDC, “Artificial Intelligence Infrastructure Spending to Reach $902Bn by 2029,” 2025. Retrieved from idc.com. Gartner industry benchmark referenced in Erwood Group and SysTech MSP analyses, 2024-2025. Retrieved from erwoodgroup.com and systechmsp.com.
Read full post on sentrytechsolutions.com
The Real Cost of Downtime (and How to Calculate It for Your Business)
The real cost of downtime is the sum of lost revenue, lost employee productivity, recovery expenses, and long-term intangible costs like customer churn and reputation damage. Most businesses only track the first two. A complete calculation uses this formula: (Lost Revenue per Hour + Labor Cost per Hour) × Hours Down + Recovery Costs + Intangible Losses.
The real cost of downtime is the sum of lost revenue, lost employee productivity, recovery expenses, and long-term intangible costs like customer churn and reputation damage. Most businesses only track the first two. A complete calculation uses this formula: (Lost Revenue per Hour + Labor Cost per Hour) × Hours Down + Recovery Costs + Intangible Losses.
Read full post on sentrytechsolutions.com
MFA Fatigue: Why Your Login Policies Need a Refresh
MFA fatigue attacks succeed by spamming users with push notifications until someone approves one just to make it stop. In 2026, traditional MFA is no longer enough on its own. Businesses need phishing-resistant methods like passkeys, number matching, and Conditional Access policies to stop identity-based breaches before they start. You rolled out multi-factor authentication years ago. You checked the compliance box. You told your team to stop complaining about the extra step. And for a while, that was enough. It is not anymore. The attackers have adapted. MFA is still one of the most impo
MFA fatigue attacks succeed by spamming users with push notifications until someone approves one just to make it stop. In 2026, traditional MFA is no longer enough on its own. Businesses need phishing-resistant methods like passkeys, number matching, and Conditional Access policies to stop identity-based breaches before they start. You rolled out multi-factor authentication years ago. You checked the compliance box. You told your team to stop complaining about the extra step. And for a while, that was enough. It is not anymore. The attackers have adapted. MFA is still one of the most important controls a business can deploy, but the version most companies are running in 2026 was designed for threats that no longer dominate the landscape. If your login policies have not been reviewed since you first turned MFA on, you have a gap that criminals are actively pricing into their business model. Here is what changed, and what to do about it. What Is an MFA Fatigue Attack? An MFA fatigue attack (sometimes called MFA bombing or push-notification spamming) is a social engineering technique that targets the approve button on your phone rather than your password. The attacker already has your password. That part is not the hard step. With 3.8 billion credentials leaked in the first half of 2025 alone,1 stolen passwords are a commodity. What the attacker needs is your MFA approval. So they log in repeatedly and trigger dozens of push notifications to your phone. Ten prompts. Twenty. Fifty. Late at night, during a meeting, in the middle of a workout. Eventually most people tap Approve just to make the buzzing stop, or because they assume it is a glitch, or because they think they must have forgotten they were logging in somewhere. That single tap is the breach. Why Is Traditional MFA Failing in 2026? Because the threat model it was built for has shifted. Three data points tell the story. First, MFA is no longer a silver bullet against modern intrusions. Incident response teams report that 79% of business email compromise victims they investigated in 2024 and 2025 had MFA enabled at the time of the breach.2 The attacker got in anyway. Second, credentials are still the weakest link in the chain. The 2025 Verizon Data Breach Investigations Report found that stolen credentials were the initial access vector in 22% of breaches, and that 88% of attacks against basic web applications involved stolen credentials.3 In the same report, the median daily share of credential stuffing attempts across enterprise authentication logs was 19%. One in every five login attempts Verizon saw was an attacker trying keys they already had. Third, ransomware crews have productized MFA fatigue. Groups like Scattered Spider, Muddled Libra, and Akira now treat push bombing as a standard opening move. CISA updated its advisory on Scattered Spider in July 2025 specifically to emphasize that modern intrusions often begin with identity compromise rather than malware.4 The tooling your team uses to sign in every day is the front door, and the lock has been picked. What Makes Phishing-Resistant MFA Different? Not all MFA is created equal. Regulators, Microsoft, and CISA now draw a sharp line between legacy MFA (SMS codes, one-time passwords, basic push approval) and phishing-resistant MFA (FIDO2 security keys, passkeys, Windows Hello for Business, certificate-based authentication). The difference is cryptographic. Phishing-resistant methods bind the authentication to the specific site or service you are actually trying to reach. An attacker cannot trick you into approving a login to their fake page because the key refuses to sign the wrong domain. There is nothing to fatigue, nothing to type into the wrong box, nothing to forward by accident. Microsoft's 2025 Digital Defense Report is blunt about it: phishing-resistant MFA stops more than 99% of identity-based attacks even when the adversary already has valid credentials.5 The FIDO Alliance reports a 95%+ reduction in credential-based attacks for organizations that roll out passkeys, along with a 93% login success rate compared to 63% for traditional methods.6 In plain terms: it is more secure and less painful to use. That combination is rare. How Should Your Login Policies Change Right Now? You do not have to rip out your current MFA to close this gap. You need to layer on top of it and tune what is already there. A practical 90-day refresh looks like this. Turn off basic push approval for high-privilege accounts. Anyone with admin rights, access to financial systems, or reach into sensitive data should be on phishing-resistant MFA. No exceptions for executives who find it inconvenient. Enable number matching across the board. If you cannot deploy phishing-resistant MFA everywhere tomorrow, turn on number matching in Microsoft Authenticator (or your equivalent) as an interim measure. CISA recommends this as one of the best short-term mitigations for push fatigue.7 Users have to type a number from the login screen into their phone, which breaks the reflex-approve loop. Deploy Conditional Access policies that adapt to risk. Require stronger authentication when the sign-in is coming from an unusual location, an unmanaged device, or after hours. Block legacy authentication protocols that cannot support modern MFA at all. Move admin accounts to just-in-time access. With tools like Microsoft's Privileged Identity Management, administrators request elevated permissions when they need them and lose those permissions automatically when the work is done. A compromised admin account that has no standing privileges is a much smaller problem. Roll out passkeys for your workforce. Passkey adoption crossed a tipping point in 2025. The FIDO Alliance found that 69% of users now have at least one passkey, up from 39% awareness two years prior, and 48% of the top 100 websites now support them.8 Your employees are already using this technology in their personal lives. Meeting them where they are makes rollout faster. Train your team on the attack, not just the tool. Employees should know what MFA fatigue looks like, why legitimate logins never generate ten prompts in a row, and exactly who to call when they see one. The goal is not paranoia. It is pattern recognition. Where Does MFA Fit Into Your Broader Security Strategy? Identity is the new perimeter. That phrase gets repeated to the point of cliche, but it is true: in a cloud-first, mobile-first environment, the wall around your network has dissolved. The only consistent checkpoint left is the one at the login screen. That is why identity and access management sits at the Secure stage of the Sentry Technology Maturity Model. Before a business can integrate systems at scale or innovate responsibly with AI, it has to know with confidence who is signing in, from where, with what device, and with what level of trust. Refreshing your login policies is not a cybersecurity side quest. It is the foundation that everything else is built on. Most businesses we work with thought they had already solved this. They had not. The controls they turned on in 2020 were state of the art for 2020. The attackers moved. The controls have to move with them. Frequently Asked Questions Is MFA still worth having if attackers can bypass it? Yes. MFA, even legacy MFA, still blocks the vast majority of automated attacks. Disabling it would be a disaster. The point is to upgrade from legacy MFA to phishing-resistant MFA, not to abandon the control altogether. What is the single highest-impact change we can make this quarter? Turning on number matching and moving admin accounts to phishing-resistant MFA. Those two changes eliminate the largest share of real-world attacks for the least disruption. Are passkeys ready for business use? Yes. Microsoft, Google, Apple, and every major identity provider now support passkeys in enterprise environments. The 2025 FIDO Alliance data shows mainstream adoption, and rollout tooling has matured considerably. Start with pilot groups and expand. Do we still need password policies if we move to passkeys? For the accounts that still use passwords, yes. NIST guidance now recommends long, memorable passwords and removes the old mandate to force a rotation every 90 days, which research shows actually weakens security. Pair password guidance with breach-monitoring tools that alert you when employee credentials appear in known leaks. How does this work for a business with multiple locations or franchisees? It works better. Centralized identity management with modern MFA is one of the few security controls that scales cleanly across locations. Each site does not need its own policy. Your identity platform becomes the single source of truth, and every new location inherits the protection on day one. Refreshing Your Login Policies, Together If your MFA setup has not been revisited since you first rolled it out, it is probably doing less work than you think. The attackers are counting on that. Sentry Technology Solutions helps businesses across 30+ states modernize identity and access as part of a full Technology Maturity Model engagement. If you want a clear-eyed look at where your authentication stands today and what it would take to close the gap, we can help. Start a conversation at sentryitsolutions.com. References 1. Dark Analytics. "The Rising Threat of MFA Bombing in 2025." September 29, 2025. https://www.darkanalytics.com/post/the-rising-threat-of-mfa-bombing-in-2025-understanding-and-defending-against-push-notification-fatigue 2. Security Boulevard. "The Akira Playbook: How Ransomware Groups Are Weaponizing MFA Fatigue." November 2025. https://securityboulevard.com/2025/11/the-akira-playbook-how-ransomware-groups-are-weaponizing-mfa-fatigue/ 3. Verizon. "2025 Data Breach Investigations Report." https://www.verizon.com/business/resources/reports/dbir/ 4. CISA. "Scattered Spider Advisory, Updated." July 29, 2025. https://www.cisa.gov/news-events/cybersecurity-advisories/aa23-320a 5. Microsoft. "Digital Defense Report 2025." https://www.microsoft.com/en-us/security/security-insider/microsoft-digital-defense-report 6. FIDO Alliance. "World Passkey Day Research." May 1, 2025. https://fidoalliance.org/passkeys/ 7. CISA. "Implement Number Matching in MFA Applications." https://www.cisa.gov/sites/default/files/publications/fact-sheet-implement-number-matching-in-mfa-applications-508c.pdf 8. FIDO Alliance, ibid. https://fidoalliance.org/passkeys/ Dark Analytics, "The Rising Threat of MFA Bombing in 2025," September 29, 2025.↩︎ Security Boulevard, "The Akira Playbook: How Ransomware Groups Are Weaponizing MFA Fatigue," November 2025.↩︎ Verizon, "2025 Data Breach Investigations Report," 2025.↩︎ CISA, "Scattered Spider Advisory, Updated," July 29, 2025.↩︎ Microsoft, "Digital Defense Report 2025."↩︎ FIDO Alliance, "World Passkey Day Research," May 1, 2025.↩︎ CISA, "Implement Number Matching in MFA Applications" fact sheet.↩︎ FIDO Alliance, "World Passkey Day Research," May 1, 2025.↩︎
Read full post on sentrytechsolutions.com
Selling Your Business? Start with Your Tech Stack
Selling your business? Your tech stack is not a back-office detail. It is a valuation lever. Buyers pay more for companies with clean, documented, secure technology, and discount companies that do not. Start cleaning up your IT two to three years before the sale, not two to three months!
Selling your business? Your tech stack is not a back-office detail. It is a valuation lever. Buyers pay more for companies with clean, documented, secure technology, and discount companies that do not. Start cleaning up your IT two to three years before the sale, not two to three months!
Read full post on sentrytechsolutions.com