Updated on: May 30, 2026
Cybersecurity conversations often focus on the obvious threats. Ransomware. Nation state actors. Zero day exploits. Yet some of the most damaging risks are the ones organizations quietly assume are already handled. They believe the firewall is enough. They trust the cloud provider. They think antivirus equals security. They assume insider threats are under control.
At SafetyDetectives, we regularly speak with security leaders, founders, and incident response experts who see a very different reality behind the scenes. The common thread is not a lack of tools. It is misplaced confidence. Silos between HR and security. Default credentials left unchanged. Legacy systems that appear stable but quietly accumulate risk. Small businesses are convinced they are too small to matter. Analysts are overwhelmed by alerts while attackers exploit predictable human behavior.
In this roundup, leading experts share the internal blind spots, overlooked psychological factors, and false assumptions that continue to expose organizations of every size. Their insights reveal a consistent pattern: the greatest vulnerabilities are rarely exotic or highly technical. More often, they stem from habits, culture, and the comforting illusion that someone else has already taken care of the problem.
How are attackers exploiting remote work setups in ways many businesses still underestimate?
Remote workers are often assumed to be just as protected as they are in the office. In reality, the home environment is usually far less secure.
Most people use personal Wi-Fi routers that haven’t been properly configured or updated. Employees may also use personal devices for work or connect from coffee shops, hotels, or shared networks. All of this creates more opportunities for attackers.
Cybercriminals know this and often target remote workers with phishing emails designed to steal their login credentials. Once attackers have a valid username and password, they can often log into company systems without triggering alarms, because they appear to be legitimate users.
Another issue is the number of cloud apps employees connect to without IT teams fully tracking them. Each new app or service can become another entry point if it isn’t properly secured.
To reduce these risks, companies should enforce strong multi-factor authentication, monitor their external attack surface, and regularly test their systems for weaknesses.
Remote work itself isn’t the problem. The real issue is when organizations assume their security practices automatically extend beyond the office walls.
Learn more at www.CybersecurityMadeEasy.com
Terry Cutler, Founder & CEO of Cyology Labs
What internal security risk do organizations assume is “handled” but actually isn’t?
Most organisations boast robust cybersecurity defences: firewalls, encryption, behaviour analytics, and access controls, creating the illusion that insider threats are well managed. HR adds background checks, onboarding, and termination processes. Yet insider risk remains one of the most underestimated vulnerabilities, not due to failing technology but to profound organisational silos. The core problem is the disconnect between Human Resources and Information Security. HR holds vital human context: employee disgruntlement, financial stress, performance issues, disciplinary matters, and personal crises. Security tracks technical indicators such as anomalous logins, unusual data transfers, and access deviations. Neither side shares information systematically, leaving both blind to the whole picture.
Insider threats are fundamentally human problems, yet organisations treat them primarily as technical ones. Research shows that effective mitigation requires integrating HR, IT, compliance, and leadership (Alghamdi et al., 2025; Ussher-Eke, 2025). Early behavioural warning signs, disgruntlement, isolation, or hostile intent are often visible to HR or managers long before security tools flag malicious activity (Jones, 2024). Without collaboration, these signals go unheeded, allowing threats to escalate undetected. HR typically engages only reactively during incidents or terminations, missing opportunities for continuous risk assessment. Security lacks the context needed to distinguish legitimate activity from genuine threats, resulting in false positives or missed threats. Until organisations bridge this HR-security divide through structured information sharing and joint threat assessment, insider risk will remain invisible and unmanaged. It is not merely a technology challenge; it demands fundamental organisational redesign.
Citations:
Jones, L. (2024). Unveiling human factors: Aligning facets of cybersecurity leadership, insider threats, and arsonist attributes to reduce cyber risk. SocioEconomic Challenges, 8(2), 44–63. doi:10.61093/sec.8(2).44-63.2024.
Alghamdi, Dr. A., Niazi, M., Cordeiro, L. C., Humayun, M., & Stewart, A. (2025). Mitigating insider threats: Insights from software security experts for process improvement and risk reduction. Proceedings of the 2025 29th International Conference on Evaluation and Assessment in Software Engineering Companion, 41–48. doi:10.1145/3727967.3756845.
Diana Ussher-Eke. (2025). The human firewall: How HR shapes cybersecurity culture. International Journal of Science and Research Archive, 16(2), 505–514. doi:10.30574/ijsra.2025.16.2.2349.
Garry Bergin, PC, MSc, CSyP, CPP, MSI, SRMCP, CTSP, F.Sec.I.I, FSyI, F.ISRM
How can poor email verification practices create hidden cybersecurity risks for businesses?
Poor email verification can quietly open the door to a range of security threats. When fake or disposable addresses slip through onboarding or sign-up processes, businesses risk exposing their platforms to fraudsters, scam attempts, and large-scale security breaches. Fake accounts created with invalid emails often serve as gateways for phishing scams, impersonation, online abuse, and fraudulent transactions. If these accounts aren’t identified and filtered out early, they can be used for privilege escalation and social engineering attacks—sometimes resulting in costly data breaches and reputational harm. Leveraging effective email verification tools increases the chances of stopping bad actors before they get access, adding a vital defense layer while enhancing data quality and reducing the risk of abuse.
Karla Vroegindewey, Product Director at Email Hippo
Which misconfiguration or default setting do attackers most commonly exploit, and why is it still so widespread? Additionally, how do legacy systems silently increase risk, even when they appear to be functioning normally?
As someone who’s been turning over rocks in cybersecurity since founding Lazarus Alliance back in 2000, I can tell you this isn’t rocket science (Rock Sience), it’s basic hygiene that too many organizations still ignore. Attackers love default credentials because they’re predictable, public, and require zero creativity to exploit. Think about it: manufacturers ship routers, IoT devices, databases, and even enterprise software with usernames like “admin” and passwords like “admin” or “password123.” These are documented online, often right in the user manual or on forums. A simple automated scan finds thousands of exposed devices in minutes. It’s the cybersecurity equivalent of leaving your front door unlocked with the key under the mat labeled “Key.” It’s not a technology problem; it’s a people and process problem. Organizations deploy systems fast to meet business needs: spin up a new SaaS tool, plug in an IoT sensor farm, rush a cloud migration. Security hardening gets deprioritized because “it works out of the box.” Convenience wins over caution.
Legacy systems are like ticking time bombs in many enterprises. At Lazarus Alliance, we’ve audited countless environments where these old workhorses keep humming along, processing data and supporting operations without a hitch. But that’s the danger: their apparent stability masks escalating vulnerabilities that attackers exploit. Don’t wait for symptoms; be proactive. Start with a full asset inventory to identify legacy elements, then conduct vulnerability assessments and red team simulations to expose silent gaps. Segment them from critical networks, virtualize where possible, or migrate to cloud equivalents with built-in security. At Lazarus Alliance, our Proactive Cybersecurity® approach includes continuous monitoring and compliance audits to turn these liabilities into managed assets. Remember, if it’s old and unsupported, it’s not “stable”; it’s a risk multiplier.
Michael D. Peters, CEO of Lazarus Alliance
What are the biggest blind spots in security monitoring that allow threats to persist without detection?
The biggest blind spot isn’t technical – it is structural. Small and medium businesses rarely have in-house IT security. They rely on Managed Service Providers, and most MSPs aren’t competent Managed Security Service Providers. They deploy pre-packaged stacks and quietly outsource the actual security monitoring to third-party SOC providers. The result is a supply chain of delegated responsibility where no single link is necessarily vetted to a high standard.
This matters most at onboarding. When an MSP takes on a new client, they inherit an entire asset park they’ve never audited. They deploy their tooling and move on. Existing compromises – dormant malware, command-and-control footholds, credential theft already in progress – may or may not be detected by the stack they’ve just dropped in. Hardly anyone performs a proper security investigation against those machines before declaring the environment “managed.”
The industry’s response has been to lean on AI-powered detection, but frankly, those solutions are still in their infancy. What we’ve actually done is shift human oversight onto black boxes of unknown quality. No minimum standard is enforced for IT service providers operating in this critical layer, and SMBs – understandably budget-conscious – will always choose the best cost-to-benefit ratio, which usually means the cheapest option. Until there’s an enforceable baseline for security competency across the MSP supply chain, threats will continue to persist in environments that their owners believe are being monitored.
Andrei Trimbitas, Founder of Old Forge Technologies – oldforge.tech
What is the most overlooked crypto security threat?
To my mind, the threat is human behavior combined with the single point of compromise of wallet seed phrase management. And that’s where outside threats enter the picture. Theft, loss / destruction / inaccessibility. The conundrum is this: Оne crypto wallet seedphrase backup is fragile but every additional copy can increase risk of theft. The standard response is:
- put it in a safe (ok, that’s one copy. fragile)
- store a second copy at another location (now you aren’t in control)
- encrypt it (becomes technical – not for most users)
The solution is to use a cipher combined with portable encryption that anyone can use. How? Take the master list from 1 to 2048 seed words and randomize them, and assign your wallet seed phrase to those matching numbers. Then you have two pieces – the randomized list and your cipher coded seed phrase аnd you encrypt one or both as a password protected PDF.
Now, you can put each one on a different USB stick or drive, and store them safely in different locations. And you can make as many backup copies as you like, which makes your backup more robust. Then, here’s the best part. You give two of those to your intended heir(s), and set up Google Inactive Account Manager. You put the password in a dedicated folder in your Google Drive. When you pass away, they get access to it, and they can use it to open the PDFs, match up the numbers, immediately see the seed words, and recover your wallet(s).
That is what I call ‘the system’. And it doesn’t require any software to do it, which is the most amazing part. You can literally go and do this right now, just having read this email. But beyond that, I’ve built a javascript-based tool that runs in the browser offline, that handles all this. Its a point and click solution that preserves privacy and security.
Nic Fehlberg, Founder of EncryptFire – encryptfire.com
How can organizations improve real-time monitoring and alerting without overwhelming security teams with false positives?
Organizations can improve real-time monitoring and alerting by reducing noise and focusing on meaningful signals. Default thresholds often generate unnecessary alerts, so teams should review alert history and tune thresholds based on real-world behavior. For example, short CPU or memory spikes may not require action, while sustained utilization across multiple checks should trigger alerts. Requiring repeated failures or adding delays before notifying helps reduce false positives. Clearly define alert severity levels and use default monitoring terms like “WARNING” and “CRITICAL” consistently. For example, 90% disk usage is often incorrectly set as critical, when in most environments it is more appropriate as a warning, while 97% would be considered critical and require immediate action. Clear and consistent language helps ensure alerts are trusted and not ignored.
Alert management can be improved through escalation policies, where initial alerts trigger high-priority notifications, and follow-ups are routed through lower-noise channels unless acknowledged. Defining when alerts trigger—and in what order—is equally important. Host-level checks, such as uptime monitoring, should run more frequently than service-level checks to detect reboots or connectivity issues first. This prevents service alerts from firing when systems are simply starting up. Simple ping checks should not be relied on for availability, as they are unreliable and better suited for detecting network latency. Instead, uptime can be gathered via SNMP MIBs or tools like Nagios NCPA.
Parent-child relationships further reduce alert noise. A host acts as the parent to its services, while infrastructure dependencies (e.g., core switches > access switches > servers) ensure only root issues generate alerts. Checks on higher-level systems should run more frequently to identify failures early and prevent cascading alerts.
Customization is critical. Platforms like Nagios XI provide extensive add-ons, plugins, and features such as Business Process Intelligence (BPI), which groups systems into service-level monitors. Custom variables and customized “NagiosXI Actions” can enrich alerts with context and enable faster troubleshooting.
Finally, automation through solutions such as Nagios event handlers can collect diagnostics or resolve simple issues before escalation, further reducing unnecessary alerts. In practice, these handlers can be used to trigger automation tools like Ansible via platforms such as AAP or Semaphore APIs, enabling teams to perform a wide range of remediation actions automatically.
Robert H. Osborne, Owner of OsbornePro and Cloud Solutions and Automation Engineer at Vinebrook Technology
What cybersecurity threat affects small businesses the most but is often dismissed as a “big enterprise problem”?
Small businesses almost always underestimate the threats they face, and there are two misconceptions that are particularly damaging.
The first is the belief that small organizations are unlikely to be targeted by nation state threat actors. That simply isn’t true, and it hasn’t been true since at least 2019–2020. When you look at the targeting strategies of threat actors like Salt Typhoon and others, and combine that with what we see from ransomware groups, initial access brokers, and the broader cybercriminal ecosystem, it’s clear that small businesses are very much in the crosshairs. They are facing adversaries with the means, motive, and methods to do real harm.
The second issue is what I’d describe as the “security poverty mindset” (closely related to the “security poverty line” where organizations lack the resources to effectively address cybersecurity), where small businesses dismiss cybersecurity as “the domain of the big enterprise.” Not only is the incorrect, it can often turn into a kind of security nihilism – nothing gets done, because leaders believe nothing meaningful can be done.
In reality, there are always practical, high‑impact steps that organizations of any size can take. Focusing on the simple, foundational controls first, and prioritizing the most impactful risk‑reduction measures, is both achievable and essential for small businesses.
Casey Ellis, Founder of Bugcrowd
What role does human psychology play in overlooked cyber threats, and how can companies realistically mitigate it? Also, Which emerging attack vector do you think will cause the most surprise incidents over the next 12-24 months?
Cybersecurity is as much about psychology as technology. Human tendencies like inattentional blindness, expectation bias, and alert fatigue shape which threats are seen, ignored, or rationalized away. Inattentional blindness means analysts can miss obvious malicious activity when their focus is elsewhere, similar to the “Invisible Gorilla” experiment where viewers overlook a person in a gorilla suit while counting passes. Expectation bias leads people to fit data to prior assumptions: a login from an unusual location may be dismissed because “the user travels a lot” – until that assumption fails. Constant overload from noisy alerts then creates fatigue, stress, and burnout, further degrading judgment. Attackers understand this and are creative to exploit human behavior.
Companies can realistically mitigate this by automating wherever possible: use AI-driven correlation, enrichment, and triage so humans handle fewer, higher quality alerts. Complement this with targeted awareness training on cognitive biases, realistic simulations, and a culture that encourages speaking up about uncertainty instead of blaming individuals for misses. Use humans wisely – they are both the most valuable and the most fragile line of defense.
My view is that the most surprising incidents in the next 12–24 months will not necessarily be the largest in scale, but the ones that mark a milestone in the evolution of malicious botnets and could become among the most impactful. The recent Moltbook experiment has introduced a new kind of threat that may ultimately outperform earlier botnets such as Mirai or Emotet in both capability and damage potential. What happens if millions of AI agents are taken over by a single actor? The capabilities of such an AI botnet could exceed those of traditional botnets by several orders of magnitude, and its financial impact would, too. A self‑learning, self‑optimizing network that automates vulnerability exploitation, malware distribution, and coordinated attacks on critical infrastructure would far exceed defenders’ capabilities today and, hopefully, will remain only a nightmare scenario.
Markus Ludwig, CEO of ticura
Matt Moore, Head of Client Strategy and Success at ticura
What common security “best practice” gives organizations a false sense of protection?
Cloud gives a false sense of protection.
Many businesses think:
“We’re in the cloud. We’re safe.”
But the cloud provider only protects their system, not how you use it.
You’re still responsible for:
- Who is logging in
- Logins from public or unsecured Wi-Fi
- Third-party apps connected to your system
- Over-permissioned employees
- Shared files exposed by mistake
And if the cloud provider is breached, misconfigured, or exploited — your data and your clients’ data go with it.
This is the main reason you need to have cybersecurity, so you’re sure that you, your team and clients are safe.
A Very Common Insurance Myth.
We work in many independent insurance agencies and agents and constantly find that they think an antivirus covers the functions of cybersecurity.
Antivirus only protects devices from known malware.
It does not stop:
- Phishing
- Account takeovers
- Email fraud
- Credential theft
- Cloud breaches
Most businesses handle sensitive data every day. That data moves through email, cloud systems, and remote devices.
Today’s protection requires:
- 24/7 monitoring
- Email security
- Layered user protection
- A real response plan
Antivirus is one tool.
Cybersecurity is an ongoing operation.
Daniel Metcalf, Co-founder & President at CyberFin