#cybersecurity learning

[cypheroxide]

The Hacker's Guidebook:

Aspiring hackers! I’ve created a guide covering core cybersecurity concepts new hackers should master before tools. I break down networking, OS internals, & hacking tactics. Recognize hacking as lifelong journey—arm yourself with the basics!

Core Concepts for Budding Cybersecurity Enthusiasts The Building Blocks of Ethical Hacking So you want to become an ethical hacker and enter the exciting world of cybersecurity. That’s awesome! However, before you dive headfirst into firing up Kali Linux and hacking everything in sight, it’s vital to build up your foundational knowledge across several InfoSec domains. Mastering the fundamentals…

[ceh-certification]

From Zero to Cyber Hero: Your Ultimate Roadmap to Cybersecurity Certifications and Degrees

Thinking about a career in cyber security but don’t know where to start? Discover top cybersecurity certifications, degree paths, and courses to go from beginner to expert. Learn how to build real-world skills and earn credentials employers value.

Visit: https://www.eccu.edu/blog/cybersecurity-certifications-and-degrees-roadmap/

[ne0nwithazero]

I said what I said

[rigelmejo]

learning to code!

When I was 9 years old, I learned enough html to code neopets pages, my own geocities websites, and I even made forums on my own sites so my friends could all roleplay together or rant together lol. And then? I forgot so much. I no longer no how to make a forum, or even a 'next page' button - so even the dream of just making a simple blog or webnovel site feels like a huge hurdle now. (9 year old me could probably figure it out in 2 hours).

So I'm relearning! I figured this would be a fun post to place resources I find for coding, since there's coding languages, and I figure maybe if you like running you're blog then you also might be interested in tools for making blogs!

First, for those of you who miss the old geocities and angelfire type of sites to make your own free site on: neocities.org

You can make free sites you can code yourself, the way 9 year old me did. A lot of people have made SUCH amazing sites, it's baffling my mind trying to figure out how they did, I definitely wish I could make an art portfolio site even a fourth as cool as some of the sites people have made on here.

And for those pressed for time, who aren't about to learn coding right now: wix.com is the place I recommend for building a site, it requires no coding skill and is fairly straightforward about adding pages or features by clicking buttons. I used it to make my art portfolio site, I am testing out using it for my webnovel - the alternative is Wordpress, but wix.com is letting me basically make a wordpress blog Inside my own site. It's very beginner friendly in terms of "how the fuck do I set up a 'sign up for updates' message and have my site actually email these people my novel updates?" and "I need a 4x20 grid of my art down the page, that lets people click the art to see it's information and make it bigger."

I did neocities.org's little html tutorial today, it's the part of html I DID remember (links, paragraphs, headers).

My next step is to go through htmldog.com's tutorials. They go from beginner, to intermediate, to CSS. Unlike many a coding tutorial I've seen, they explain what program on your computer you need to WRITE the code in and then how to save it and how to open it. (You'd think this isn't a big deal but I've been looking into how to learn Python for months and I can't find a tutorial explaining what fucking program to write my python in... notepad? do I need something else? I don't fucking know!! My dad finally gave me a printed textbook which supposedly tells you what to download to start... I learned C++ in college and for that you needed Visual Basic to code C++, so I figured I needed Something to Write the fucking python IN.)

[exposimetro]

Cyber Beach

[mandatory-blog-stop-asking]

It's funny how most every cyberpunk story or setting thought that due to technology taking over people's lives and humanity, computer literacy would become commonplace enough that the very term would disappear. Everyone in Night City or whatever is super into hacking or can at least give you the difference between hardware, software, antivirus, spam, etc. To not know the basic gists or cybernetics and cyber security is paramount to not knowing how to count or how to read.

In reality we're about to enter an age where knowing how to create a folder or a zip file is back to being ancient lore inscribed in tablets that only the 30 year old who works at your IT office knows how to do. Phones and the growing marketability of easy-access no-customization technology means kids just don't use computers anymore. And it's crazy how fast it happened.

When I was in kindergarten we still had "computer class" once a week, and it was objectively useless for everyone in my class. Regardless of our age or interests, all of us had casual PC time either at home or in cyber cafes, all of us knew how to do things the teachers many times struggled with. The moment typing machine class became keyboard typing class, computers were already dominating most of our time. I learned how to navigate a computer the same way I learned English; by myself, because it was vital for my own interests.

And between highly streamlined video games, single umbrella closed OSs and everything being a fucking app, a 14 year old nowadays is lucky if they know what quotation marks do to your Google results. It's genuinely harrowing how the future is tech-dependent, yet we're becoming completely tech-illiterate.

The worst part is that it's completely on purpose by the tech industry. Much like not being able to fix your own products when they break, if you simply don't know what your phone or your computer can *do*, it's much easier to sell you a borderline identical one a little earlier than you'd actually need it. Phone updates are already pretty much semantic; you can't even see the difference between new models and old ones anymore, unless the visual difference is the point. And it all just gets more and more expensive for less and less bang for your buck.

We never expected the cyberpunk dystopia to be dull, and to rely on making us dumb. Crazy how well it worked.

[frog-kisser]

my cybersecurity courses in uni are like 15 years out of date and it drives me insane. and i dont mean in the "haha im so smart, i already know what a buffer overflow is thanks 2 tomert scotwald", i mean in the "they made this lab for android so long ago that when i follow the directions to the letter the app crashes since package naming schemes have changed and this attribute doesn't exist anymore" kinda way and it makes me want to beat powerful people with very heavy hammers

[maths-screaming]

I Got Distracted by Internet Security and So Should You

Taking a scream break to fix my messy digital footprint, per this extremely useful and usable guide:

HIGHLY recommend.

[concretdandelion]

dans rant about being jealous of other people having had a better education than you is literally so valid. nothing grinds my gears more than someone not being able to comprehend that some of us didn't get nice compsci classes in high school some of us got hour of code and the earth science teacher.

[roofertocybersecurity]

I Need To Make A Change!

For a long time I’ve needed out of the construction industry, I’m not meant to be in it I’ve never felt comfortable. Granted it’s not the only thing I’ve ever done but it’s the thing that has been the most consistent in my life, mainly because most of my dad’s side of the family are roofers.

It’s finally time to make the change to something more fulfilling, even though I’ve not got any experience in the digital world I feel I can take that leap and apply my skills to a new field.

Im just sharing the experience of learning and gaining certification’s. I started the Google Cybersecurity Certificate training on Corsera 3 days ago.

The course eases you gently and allows you to build a vocabulary before it really gets going.

I’ll share what I can here, mainly just to get it out my head and converse with myself.

[agileseen24]

"From Passion to Profession: Steps to Enter the Tech Industry"

How to Break into the Tech World: Your Comprehensive Guide

In today’s fast-paced digital landscape, the tech industry is thriving and full of opportunities. Whether you’re a student, a career changer, or someone passionate about technology, you may be wondering, “How do I get into the tech world?” This guide will provide you with actionable steps, resources, and insights to help you successfully navigate your journey.

Understanding the Tech Landscape

Before you start, it's essential to understand the various sectors within the tech industry. Key areas include:

Software Development: Designing and building applications and systems.

Data Science: Analyzing data to support decision-making.

Cybersecurity: Safeguarding systems and networks from digital threats.

Product Management: Overseeing the development and delivery of tech products.

User Experience (UX) Design: Focusing on the usability and overall experience of tech products.

Identifying your interests will help you choose the right path.

Step 1: Assess Your Interests and Skills

Begin your journey by evaluating your interests and existing skills. Consider the following questions:

What areas of technology excite me the most?

Do I prefer coding, data analysis, design, or project management?

What transferable skills do I already possess?

This self-assessment will help clarify your direction in the tech field.

Step 2: Gain Relevant Education and Skills

Formal Education

While a degree isn’t always necessary, it can be beneficial, especially for roles in software engineering or data science. Options include:

Computer Science Degree: Provides a strong foundation in programming and system design.

Coding Bootcamps: Intensive programs that teach practical skills quickly.

Online Courses: Platforms like Coursera, edX, and Udacity offer courses in various tech fields.

Self-Learning and Online Resources

The tech industry evolves rapidly, making self-learning crucial. Explore resources like:

FreeCodeCamp: Offers free coding tutorials and projects.

Kaggle: A platform for data science practice and competitions.

YouTube: Channels dedicated to tutorials on coding, design, and more.

Certifications

Certifications can enhance your credentials. Consider options like:

AWS Certified Solutions Architect: Valuable for cloud computing roles.

Certified Information Systems Security Professional (CISSP): Great for cybersecurity.

Google Analytics Certification: Useful for data-driven positions.

Step 3: Build a Portfolio

A strong portfolio showcases your skills and projects. Here’s how to create one:

For Developers

GitHub: Share your code and contributions to open-source projects.

Personal Website: Create a site to display your projects, skills, and resume.

For Designers

Design Portfolio: Use platforms like Behance or Dribbble to showcase your work.

Case Studies: Document your design process and outcomes.

For Data Professionals

Data Projects: Analyze public datasets and share your findings.

Blogging: Write about your data analysis and insights on a personal blog.

Step 4: Network in the Tech Community

Networking is vital for success in tech. Here are some strategies:

Attend Meetups and Conferences

Search for local tech meetups or conferences. Websites like Meetup.com and Eventbrite can help you find relevant events, providing opportunities to meet professionals and learn from experts.

Join Online Communities

Engage in online forums and communities. Use platforms like:

LinkedIn: Connect with industry professionals and share insights.

Twitter: Follow tech influencers and participate in discussions.

Reddit: Subreddits like r/learnprogramming and r/datascience offer valuable advice and support.

Seek Mentorship

Finding a mentor can greatly benefit your journey. Reach out to experienced professionals in your field and ask for guidance.

Step 5: Gain Practical Experience

Hands-on experience is often more valuable than formal education. Here’s how to gain it:

Internships

Apply for internships, even if they are unpaid. They offer exposure to real-world projects and networking opportunities.

Freelancing

Consider freelancing to build your portfolio and gain experience. Platforms like Upwork and Fiverr can connect you with clients.

Contribute to Open Source

Engaging in open-source projects can enhance your skills and visibility. Many projects on GitHub are looking for contributors.

Step 6: Prepare for Job Applications

Crafting Your Resume

Tailor your resume to highlight relevant skills and experiences. Align it with the job description for each application.

Writing a Cover Letter

A compelling cover letter can set you apart. Highlight your passion for technology and what you can contribute.

Practice Interviewing

Prepare for technical interviews by practicing coding challenges on platforms like LeetCode or HackerRank. For non-technical roles, rehearse common behavioral questions.

Step 7: Stay Updated and Keep Learning

The tech world is ever-evolving, making it crucial to stay current. Subscribe to industry newsletters, follow tech blogs, and continue learning through online courses.

Follow Industry Trends

Stay informed about emerging technologies and trends in your field. Resources like TechCrunch, Wired, and industry-specific blogs can provide valuable insights.

Continuous Learning

Dedicate time each week for learning. Whether through new courses, reading, or personal projects, ongoing education is essential for long-term success.

Conclusion

Breaking into the tech world may seem daunting, but with the right approach and commitment, it’s entirely possible. By assessing your interests, acquiring relevant skills, building a portfolio, networking, gaining practical experience, preparing for job applications, and committing to lifelong learning, you’ll be well on your way to a rewarding career in technology.

Embrace the journey, stay curious, and connect with the tech community. The tech world is vast and filled with possibilities, and your adventure is just beginning. Take that first step today and unlock the doors to your future in technology!

contact Infoemation wensite: https://agileseen.com/how-to-get-to-tech-world/ Phone: 01722-326809 Email: info@agileseen.com

[kamalkafir-blog]

Nightshift CCTV Operator

Job title: Nightshift CCTV Operator Company: Corps Security Job description: of ‘loyalty, integrity, service’, we have become the UK’s most established and respected specialist security services provider… Assignment Instructions. Record all events and actions monitored from within the control room. Respond and react… Expected salary: £13.1 per hour Location: Paisley Job date: Fri, 27 Jun 2025…

[rixxabhh]

Machine Learning, a boon for CyberSecurity?

In an age where cyberattacks are changing at a rapid pace, machine learning (ML) is increasingly becoming an effective partner in the fight for online security. Conventional cybersecurity solutions depend significantly on pre-established rules and established signatures, yet today's attackers are increasingly creative, covert, and unpredictable. This is where machine learning steps in allowing systems to learn, adapt, and react in real time.

Static Rules for Smart Detection

Legacy security systems work like rulebooks: "If X occurs, do Y." However, this model fails when attackers modify the rules. Machine learning turns the script around by teaching algorithms on enormous datasets, including historical attacks, system patterns, and live logs to find patterns and detect anomalies without being programmed for each eventuality.

For instance, an ML-driven system may detect that a user who normally logs in during working hours had logged into the system at 3 AM from a foreign country. Even when no known malware is found, the anomaly can initiate a security alarm on its own.

Machine Learning Applications in Cybersecurity

Anomaly Detection ML models are able to identify suspicious activity on networks, devices, or user accounts that vary from the norm, even slight activity. Spam & Phishing Detection Natural Language Processing (NLP), a subcategory of ML, assists in identifying phishing messages by examining tone, intent, and form much better than fixed spam filters. Malware Classification Rather than using known signatures, ML models are able to examine file behaviour and attributes to identify zero-day malware attacks that haven't been encountered previously. Threat Prediction Predictive models predict possible vulnerabilities from past attack patterns, allowing for proactive protection. Automated Incident Response Sophisticated systems are able to assess security incidents in real-time and recommend or even trigger proper response actions, such as isolating infected machines or blocking IPs.

Real-World Example

Let's consider an example of a company employing a legacy firewall. It may be able to block known malicious IPs, but an intelligent attacker switching between various IPs could still bypass the block. An ML-augmented solution on the other hand, can recognise behavioural indicators of compromise, e.g., high-frequency request patterns, suspicious payloads, or unusual user agents and react even without matching a known signature.

Challenges to Consider

False Positives: ML systems will occasionally mark harmless activity as threats, resulting in alert fatigue.

Adversarial Attacks: Hackers are now creating inputs that "fool" ML models a developing concern.

Data Dependency: The performance of ML is significantly dependent on training data quality and quantity.

The Future is Adaptive

As cyber threats become more sophisticated, static defences can no longer suffice. Machine learning provides an intelligent, scalable, and dynamic layer of protection that adapts to growing threats. Far from a silver bullet, it is a crucial pillar in contemporary cybersecurity strategies.

Firms such as Astra Security are already using smart automation and ML-powered threat detection to enable companies to remain at the forefront of the cybersecurity marathon. The objective? To make the internet a safer, smarter world, one algorithm at a time.

[neilsblog]

Deception Technology: The Cybersecurity Paradigm We Didn’t Know We Needed

In an age of ever-evolving cyber threats, traditional security measures are no longer sufficient to protect critical digital assets. To stay ahead of sophisticated attackers, organizations are turning to more innovative and proactive solutions. One such approach gaining momentum globally is Deception Technology — a cybersecurity strategy that shifts the paradigm from reactive defenses to…

[abathurofficial]

Abathur

At Abathur, we believe technology should empower, not complicate.

Our mission is to provide seamless, scalable, and secure solutions for businesses of all sizes. With a team of experts specializing in various tech domains, we ensure our clients stay ahead in an ever-evolving digital landscape.

Why Choose Us? Expert-Led Innovation – Our team is built on experience and expertise. Security First Approach – Cybersecurity is embedded in all our solutions. Scalable & Future-Proof – We design solutions that grow with you. Client-Centric Focus – Your success is our priority.

[datapeakbyfactr]

AI’s Role in Business Process Automation

Automation has come a long way from simply replacing manual tasks with machines. With AI stepping into the scene, business process automation is no longer just about cutting costs or speeding up workflows—it’s about making smarter, more adaptive decisions that continuously evolve. AI isn't just doing what we tell it; it’s learning, predicting, and innovating in ways that redefine how businesses operate. 

From hyperautomation to AI-powered chatbots and intelligent document processing, the world of automation is rapidly expanding. But what does the future hold?

What is Business Process Automation? 

Business Process Automation (BPA) refers to the use of technology to streamline and automate repetitive, rule-based tasks within an organization. The goal is to improve efficiency, reduce errors, cut costs, and free up human workers for higher-value activities. BPA covers a wide range of functions, from automating simple data entry tasks to orchestrating complex workflows across multiple departments. 

Traditional BPA solutions rely on predefined rules and scripts to automate tasks such as invoicing, payroll processing, customer service inquiries, and supply chain management. However, as businesses deal with increasing amounts of data and more complex decision-making requirements, AI is playing an increasingly critical role in enhancing BPA capabilities. 

AI’s Role in Business Process Automation 

AI is revolutionizing business process automation by introducing cognitive capabilities that allow systems to learn, adapt, and make intelligent decisions. Unlike traditional automation, which follows a strict set of rules, AI-driven BPA leverages machine learning, natural language processing (NLP), and computer vision to understand patterns, process unstructured data, and provide predictive insights. 

Here are some of the key ways AI is enhancing BPA: 

Self-Learning Systems: AI-powered BPA can analyze past workflows and optimize them dynamically without human intervention. 

Advanced Data Processing: AI-driven tools can extract information from documents, emails, and customer interactions, enabling businesses to process data faster and more accurately. 

Predictive Analytics: AI helps businesses forecast trends, detect anomalies, and make proactive decisions based on real-time insights. 

Enhanced Customer Interactions: AI-powered chatbots and virtual assistants provide 24/7 support, improving customer service efficiency and satisfaction. 

Automation of Complex Workflows: AI enables the automation of multi-step, decision-heavy processes, such as fraud detection, regulatory compliance, and personalized marketing campaigns. 

As organizations seek more efficient ways to handle increasing data volumes and complex processes, AI-driven BPA is becoming a strategic priority. The ability of AI to analyze patterns, predict outcomes, and make intelligent decisions is transforming industries such as finance, healthcare, retail, and manufacturing. 

“At the leading edge of automation, AI transforms routine workflows into smart, adaptive systems that think ahead. It’s not about merely accelerating tasks—it’s about creating an evolving framework that continuously optimizes operations for future challenges.”

— Emma Reynolds, CTO of QuantumOps

Trends in AI-Driven Business Process Automation 

1. Hyperautomation 

Hyperautomation, a term coined by Gartner, refers to the combination of AI, robotic process automation (RPA), and other advanced technologies to automate as many business processes as possible. By leveraging AI-powered bots and predictive analytics, companies can automate end-to-end processes, reducing operational costs and improving decision-making. 

Hyperautomation enables organizations to move beyond simple task automation to more complex workflows, incorporating AI-driven insights to optimize efficiency continuously. This trend is expected to accelerate as businesses adopt AI-first strategies to stay competitive. 

2. AI-Powered Chatbots and Virtual Assistants 

Chatbots and virtual assistants are becoming increasingly sophisticated, enabling seamless interactions with customers and employees. AI-driven conversational interfaces are revolutionizing customer service, HR operations, and IT support by providing real-time assistance, answering queries, and resolving issues without human intervention. 

The integration of AI with natural language processing (NLP) and sentiment analysis allows chatbots to understand context, emotions, and intent, providing more personalized responses. Future advancements in AI will enhance their capabilities, making them more intuitive and capable of handling complex tasks. 

3. Process Mining and AI-Driven Insights 

Process mining leverages AI to analyze business workflows, identify bottlenecks, and suggest improvements. By collecting data from enterprise systems, AI can provide actionable insights into process inefficiencies, allowing companies to optimize operations dynamically. 

AI-powered process mining tools help businesses understand workflow deviations, uncover hidden inefficiencies, and implement data-driven solutions. This trend is expected to grow as organizations seek more visibility and control over their automated processes. 

4. AI and Predictive Analytics for Decision-Making 

AI-driven predictive analytics plays a crucial role in business process automation by forecasting trends, detecting anomalies, and making data-backed decisions. Companies are increasingly using AI to analyze customer behaviour, market trends, and operational risks, enabling them to make proactive decisions. 

For example, in supply chain management, AI can predict demand fluctuations, optimize inventory levels, and prevent disruptions. In finance, AI-powered fraud detection systems analyze transaction patterns in real-time to prevent fraudulent activities. The future of BPA will heavily rely on AI-driven predictive capabilities to drive smarter business decisions. 

5. AI-Enabled Document Processing and Intelligent OCR 

Document-heavy industries such as legal, healthcare, and banking are benefiting from AI-powered Optical Character Recognition (OCR) and document processing solutions. AI can extract, classify, and process unstructured data from invoices, contracts, and forms, reducing manual effort and improving accuracy. 

Intelligent document processing (IDP) combines AI, machine learning, and NLP to understand the context of documents, automate data entry, and integrate with existing enterprise systems. As AI models continue to improve, document processing automation will become more accurate and efficient. 

Going Beyond Automation

The future of AI-driven BPA will go beyond automation—it will redefine how businesses function at their core. Here are some key predictions for the next decade: 

Autonomous Decision-Making: AI systems will move beyond assisting human decisions to making autonomous decisions in areas such as finance, supply chain logistics, and healthcare management. 

AI-Driven Creativity: AI will not just automate processes but also assist in creative and strategic business decisions, helping companies design products, create marketing strategies, and personalize customer experiences. 

Human-AI Collaboration: AI will become an integral part of the workforce, working alongside employees as an intelligent assistant, boosting productivity and innovation. 

Decentralized AI Systems: AI will become more distributed, with businesses using edge AI and blockchain-based automation to improve security, efficiency, and transparency in operations. 

Industry-Specific AI Solutions: We will see more tailored AI automation solutions designed for specific industries, such as AI-driven legal research tools, medical diagnostics automation, and AI-powered financial advisory services. 

AI is no longer a futuristic concept—it’s here, and it’s already transforming the way businesses operate. What’s exciting is that we’re still just scratching the surface. As AI continues to evolve, businesses will find new ways to automate, innovate, and create efficiencies that we can’t yet fully imagine. 

But while AI is streamlining processes and making work more efficient, it’s also reshaping what it means to be human in the workplace. As automation takes over repetitive tasks, employees will have more opportunities to focus on creativity, strategy, and problem-solving. The future of AI in business process automation isn’t just about doing things faster—it’s about rethinking how we work all together.

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