
When an attacker penetrates an organization’s computer network and lays hold of institutional or personal data, the effects can be devastating. A company is likely to lose any of the following in the wake of a breach: reputation, time spent dealing with the breach, financial loss from lost business and critical data that may impact operations.
While protecting your organization’s data and networks may seem like intractable problems, strong cyber policy discipline can lower your data risk. To begin with, we drew on research by SANS, and recent events in the information security world, to bring you 7 important mistakes that make your organization vulnerable to cyber attacks. If you are able to avoid these, you will cut down on incidents of cyber attacks and operate more safely.
Post Quick Links
Jump straight to the section of the post you want to read:
- Practice 1: Prioritizing Ease Of Use Over Security In Server Access
- Practice 2: Giving End Users Local Admin Rights on Their Workstations
- Practice 3: Using Shared Images to Create Environments, Where the Admin User has the Same Password
- Practice 4: Allowing Web-based Personal Email Services Which Are Susceptible To Phishing Attacks
- Practice 5: Being Slow To Apply Patches And Running Outdated Versions Of Software
- Practice 6: Using Permissive BYOD Policies
- Practice 7: Neglecting Or Infrequent Penetration Tests And Red-Team Exercises
Practice 1: Prioritizing Ease Of Use Over Security In Server Access
Practice 2: Giving End Users Local Admin Rights on Their Workstations
Practice 4: Allowing Web-based Personal Email Services Which Are Susceptible To Phishing Attacks
Practice 5: Being Slow To Apply Patches And Running Outdated Versions Of Software
Practice 6: Using Permissive BYOD Policies
Practice 7: Neglecting Or Infrequent Penetration Tests And Red-Team Exercises


About the author
LimeProxies Editorial Team
We are the engineers and support staff who run the LimeProxies network — the people who provision residential, datacenter, ISP and mobile capacity across 100+ countries and answer the tickets when something breaks. We write about what we see from that seat: why requests get blocked, how detection actually works, and what the numbers say rather than what marketing would prefer. Every claim that comes from research is linked to its primary source so you can check it yourself, and we will tell you when the honest answer is that you do not need what we sell.
View all postsRelated Articles
Are Free Proxies Safe? What 53 Million Exit Nodes Reveal
Free proxies are not free — they are paid for with someone's compromised device, and often with your data. Independent 2026 research measured how much of the free proxy supply runs on malware-infected hardware, and the number is worse than most teams assume.
Web Data Collection for AI in 2026: The Closing Web
The open web stopped being open by default. Blanket AI-crawler blocking, per-crawl paywalls and a widening crawl-to-referral gap have changed the economics of collecting training and retrieval data. This is what actually changed, and what a defensible pipeline looks like now.
Why Your Scraper Gets Blocked: The 2026 Anti-Bot Stack
If you are still getting 403s on clean residential IPs, the IP is not the problem. Modern bot detection scores five independent layers, and four of them live in your HTTP client — not your proxy. This is what each layer measures and what you can actually do about it.