Madrid, Comunidad de Madrid, España
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Imagine a world where security threats are constantly evolving, and the stakes are higher…
Artículos de Marcel
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57 mil seguidores
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Marcel Velica ha compartido estoTreating compliance as a necessary evil is actively handing enterprise deals to your competitors. If you think SOC 2 is just a checkbox to keep legal happy, your sales pipeline is bleeding. You cannot win enterprise trust using manual screenshots and fragmented processes. 𝙇𝙤𝙤𝙠 𝙖𝙩 𝙩𝙝𝙚 𝙤𝙥𝙚𝙧𝙖𝙩𝙞𝙤𝙣𝙖𝙡 𝙧𝙚𝙖𝙡𝙞𝙩𝙮 𝙤𝙛 𝘽2𝘽 𝙗𝙪𝙮𝙞𝙣𝙜 𝙧𝙞𝙜𝙝𝙩 𝙣𝙤𝙬: 🚨 40% of organizations say over half their customers now consider compliance non-negotiable. 🚨 47% of organizations mistakenly frame compliance defensively as a cost or risk-management tool. 🚨 Meanwhile, pursuing SOC 2 and ISO 27001 directly improves RFP win rates by 14%. Startups can win their first customers on founder hustle, but scaling requires a multiplier effect. Organizations achieving three or more compliance certifications are 1.5 times more likely to report massive (>30%) TAM growth. At Sprinto, they turn compliance into your strongest sales asset: ⚡ 𝘼𝙪𝙩𝙤𝙢𝙖𝙩𝙚𝙙 𝙀𝙫𝙞𝙙𝙚𝙣𝙘𝙚 𝘾𝙤𝙡𝙡𝙚𝙘𝙩𝙞𝙤𝙣:An AI-native platform that executes 6.5 million data sync operations per month. ⚡ 𝙈𝙪𝙡𝙩𝙞-𝙁𝙧𝙖𝙢𝙚𝙬𝙤𝙧𝙠 𝙎𝙘𝙖𝙡𝙚: Seamless support for over 200 global security standards, allowing you to expand into new markets without burning out your internal teams. Stop treating certifications like a hurdle. Turn them into a weapon. A recent report by Sprinto, The Business ROI of Compliance 2026, explores how compliance can be your weapon of growth and shows how compliance plays a larger role in business outcomes than most assume. More about it here: https://lnkd.in/eRn76wh3
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Marcel Velica ha compartido estoIf you're thinking email security is enough… you're already behind. Read the full article to understand the real risk across your cloud workspace 👇https://lnkd.in/eV9XWjbK Follow Marcel Velica for more & share with your network.Securing Sensitive Data Across Your Cloud WorkspaceSecuring Sensitive Data Across Your Cloud Workspace
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Marcel Velica ha compartido estoMost AI presentation tools give you 3 things a blank canvas, a loading bar, and the same result as everyone else. Decktopus AI just shipped new technology! and the architecture is fundamentally different. Decktopus’new technology was built around one constraint: going off-brand has to be impossible — not just unlikely. 𝙒𝙝𝙖𝙩'𝙨 𝙖𝙘𝙩𝙪𝙖𝙡𝙡𝙮 𝙞𝙣𝙨𝙞𝙙𝙚: · Brand Kit enforcement at generation, no manual formatting ever again · AI auto-classifies 100+ slides by type in minutes · Natural language prompts that edit without violating brand rules · Unlimited per-slide version history, every change recoverable · Multi-brand support, separate kits, fully isolated per client · Slide Library, reuse assets across decks without starting from scratch V2 was a canvas. V3 was smarter. The last version is the modern brand guardrail at 120 mph 𝙏𝙝𝙚 𝙦𝙪𝙚𝙨𝙩𝙞𝙤𝙣 𝙞𝙨𝙣'𝙩 𝙬𝙝𝙚𝙩𝙝𝙚𝙧 𝙮𝙤𝙪𝙧 𝙩𝙚𝙖𝙢 𝙬𝙞𝙡𝙡 𝙪𝙨𝙚 𝘼𝙄 𝙛𝙤𝙧 𝙨𝙡𝙞𝙙𝙚𝙨. 𝙄𝙩'𝙨 𝙬𝙝𝙚𝙩𝙝𝙚𝙧 𝙩𝙝𝙚 𝙤𝙪𝙩𝙥𝙪𝙩 𝙬𝙞𝙡𝙡 𝙚𝙢𝙗𝙖𝙧𝙧𝙖𝙨𝙨 𝙮𝙤𝙪𝙧 𝙗𝙧𝙖𝙣𝙙. Don't trust me, see what your brand looks like: https://lnkd.in/e_E679Mf
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Marcel Velica ha compartido estoAI is NOT improving your cybersecurity. It’s quietly blinding it. The more you rely on AI summaries… The less you actually see. Most security teams don’t have a detection problem. They have a visibility illusion. AI makes everything look clean. Structured. Under control. But underneath? Signals are getting diluted. Context is getting lost. And attackers are blending in better than ever. Here are 10 hard truths no one talks about: AI summaries hide critical signals → Treat them as a starting point, not reality Anomalies get buried in compression → Prioritize anomaly detection over summaries Attacks happen in sequences, not snapshots → Always reconstruct timelines “Almost normal” is the new attack strategy → Don’t trust historical baselines blindly Clean dashboards create false confidence → Always validate with raw data Threats live across disconnected systems → Correlate across endpoints, identity, network, cloud Normal behavior can be weaponized → Monitor misuse of trusted tools Weak questions = weak security → Always ask: what’s missing? AI is a tool, not a decision-maker → Combine speed with human judgment No raw data = no real visibility → Maintain full traceability AI doesn’t eliminate risk. It reshapes it. And the most dangerous threats today? Don’t look like threats at all. Be honest Have you ever trusted an AI alert… that later turned out to be incomplete? If this changed how you see AI in cybersecurity, repost it to protect someone in your network. Follow Marcel Velica for real-world cybersecurity insights that most people ignore. If you want short daily thoughts, quick threat observations, and real-time discussions, follow me on X as well →https://x.com/MarcelVelica
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Marcel Velica ha compartido estoAirwallex is about to take on Stripe and the rest of the industry in the physical world. Modern commerce is global, but POS infrastructure is stubbornly local. Every new country usually means a new local acquirer, new terminals, new contracts, and fragmented reporting. Because online and in-store payments run on completely different stacks, loyalty, data, and reconciliation break down between channels. Airwallex spent a decade quietly building global payment rails. That’s nearly 90 regulatory licenses across ~50 markets and direct connections into local networks in 120+ countries. With the official launch of Airwallex POS Payments, those rails are finally coming to the physical countertop. This is not just another feature launch. It is one global stack solving the two biggest payment headaches: For Global Retailers: Get one stack for online and in-store. Deliver a consistent customer experience across borders and a single global ledger for reconciliation. For SaaS and Platforms: Embed white-label in-person payments and SoftPOS into your products. Unlock new monetization via embedded financial services like accounts, payouts, cards and FX. Stop letting legacy infrastructure break your channels.
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Marcel Velica ha compartido estoTHE 30-DAY CYBERSECURITY ROADMAP (FROM ZERO TO JOB-READY) You don’t need a degree to break into cybersecurity. You need a 30-day plan that actually works. Most beginners stay stuck for months… because they consume content instead of building real skills. This roadmap fixes that. Follow this for 30 days, and you won’t just “learn” cybersecurity you’ll start thinking like a security professional. Week 1 — Foundations → Cybersecurity basics → Threats (phishing, malware, ransomware) → Attacker mindset → Frameworks (NIST, ISO 27001) Week 2 — Real Skills → Incident response (hands-on) → Cyber attacks (SQLi, XSS, DDoS) → Security tools (SIEM, Firewalls) → Risk management Week 3 — Practical Execution → Set up your home lab (Kali Linux) → Log analysis → Defensive skills (access control, policies) → Social engineering simulations Week 4 — Career Mode → Threat modeling → Blogging & personal branding → Security planning → Final cyberattack simulation This roadmap works because it focuses on what most people ignore: Thinking like an attacker Hands-on practice (not just theory) Communication (reports + content) That’s what actually gets you hired. You don’t need 100 courses. You need one focused roadmap + execution. 🔁 Repost this to help someone start cybersecurity ➕ Follow Marcel Velica for more real-world cybersecurity & career growth content If you want short daily thoughts, quick threat observations, and real-time discussions, follow me on X as well →https://x.com/MarcelVelica
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Marcel Velica ha compartido estoThe Real Cybersecurity Roadmap (That 90% Professionals Ignore) Most cybersecurity professionals will NEVER reach senior level. Not because they lack skills… But because they’re learning the wrong roadmap. If you want to become a high-level cybersecurity professional, you must stop thinking like a technician… …and start thinking like a strategic leader. 1️⃣ Leadership & Strategic Skills • Security Governance & Leadership • Critical Thinking • Storytelling with Data • Stakeholder Communication • Adaptability & Problem Solving • DevSecOps & Encryption • Nation-State & APT Awareness 👉 You guide decisions, not just fix problems. 2️⃣ Advanced Security Architecture • Network Segmentation & Microsegmentation • Supervised & Unsupervised Learning • Model Evaluation (ROC, Confusion Matrix, Cross-validation) 👉 You design systems, not tasks. 3️⃣ Detection & Response • Threat Detection Strategy • SIEM & Analytics (Tableau, Power BI, Looker) 👉 Speed = survival. 4️⃣ Offensive Security Mindset • Advanced Pentesting • Data Transformation & Normalization • Dark Web Intelligence 👉 Think like an attacker. 5️⃣ Cloud & Modern Infrastructure • Cloud-Native Security • NIST & Risk Frameworks • Database Security 👉 Cloud is the new battlefield. 6️⃣ Security Engineering & Automation • Query Optimization • Indexing, Joins, Stored Procedures • Automation & Control Structures 👉 Manual work doesn’t scale. 7️⃣ Data Security & Privacy • Data Classification • DLP (Data Loss Prevention) • Encryption Strategies • Data Analysis & Visualization 👉 Data is your biggest risk. 8️⃣ Core Data & ML Stack • Python (Pandas, NumPy, Matplotlib) • Machine Learning (Scikit-learn, TensorFlow, PyTorch) • Regression & Decision Trees 👉 Security is becoming data-driven. 9️⃣ Security Program & Architecture • Building Security Programs • Designing Enterprise Architecture 👉 This is where you become irreplaceable. Certifications don’t make you senior. Strategic thinking does. Most people chase tools. Top 1% build systems. If this helped you: 🔖 Save this post (you’ll need it later) 🔁 Reshare with someone in cybersecurity 👤 Follow Marcel Velica for more high-level cybersecurity!
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Marcel Velica ha compartido estoThe 30 Core AI Algorithms Every Professional Should Understand Most people use AI… without understanding what’s actually running behind it. It’s not magic. It’s algorithms. 🔹 Prediction & Classification Linear Regression → Predicts numbers (e.g., house prices) Logistic Regression → Yes/No outcomes (spam detection) Decision Tree → If-else decision making Random Forest → Multiple trees = better accuracy SVM → Finds the best boundary between classes k-NN → Uses nearest data points Naive Bayes → Fast probabilistic classification Gradient Boosting → Learns from mistakes step-by-step AdaBoost → Combines weak models into strong XGBoost → Optimized, high-performance boosting 🔹 Clustering & Simplification k-Means → Groups similar data Hierarchical Clustering → Builds cluster trees DBSCAN → Detects clusters + outliers PCA → Reduces features, keeps important info t-SNE → Visualizes complex data in 2D/3D 🔹 Reinforcement Learning (Decision Making) Q-Learning → Learns best actions via rewards SARSA → Learns based on current actions DQN → Deep learning + Q-learning Policy Gradient → Learns directly from rewards Actor-Critic → Combines strategy + evaluation 🔹 Deep Learning (Neural Networks) ANN → Brain-like learning system CNN → Image recognition & pattern detection RNN → Sequence-based learning LSTM → Remembers long-term patterns Transformer → Powers modern AI (like GPT) 🔹 Advanced & Specialized K-Means++ → Better clustering initialization Autoencoders → Compress & reconstruct data Isolation Forest → Detects anomalies MDP → Decision-making framework Genetic Algorithms → Evolution-based optimization Every AI system you see today… is built on these foundations. Most people chase tools. But tools change fast. Algorithms don’t. If you understand these… you don’t just use AI you understand how it thinks. AI won’t replace you. But someone who understands these algorithms… will. Master the fundamentals once. And you’ll stay ahead for years. Be honest how many of these did you already know? If you want short daily thoughts, quick threat observations, and real-time discussions, follow me on X as well →https://x.com/MarcelVelica
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Marcel Velica ha compartido estoMost people don’t fail in cybersecurity. They lack direction. I often see professionals jumping between certifications with no clear path. That approach slows growth. Cybersecurity has three core tracks: • Blue Team: defense and monitoring • Red Team: offensive security • InfoSec: risk and governance Each requires a different mindset. Certifications are not the goal. They are only validation. Real progress comes from: • Choosing one path • Building hands-on skills • Staying consistent The roadmap in the image provides clarity. But clarity only works with commitment. If you’re starting out, don’t ask: “Which certification is best?” Ask instead: “What problems do I want to solve every day?” That answer defines your career. Which path are you focusing on? If you want short daily thoughts, quick threat observations, and real-time discussions, follow me on X as well →https://x.com/MarcelVelica
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Ahora
Zilala Madrim AI can make information easier to digest, but that compression often hides subtle cues that signal risk. True visibility requires keeping the raw context accessible so analysts can catch the early, hard-to-see indicators that AI summaries might smooth over.
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1 min
Farouk Hajjej AI can speed analysis, but auditability is key. Ensuring every AI-generated insight links back to raw data, the processing timeline, and the human or system that validated it is essential. Deterministic workflows, immutable logs, and clear provenance make it possible to trace, verify, and trust the results without losing oversight.
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2 min
Anastasiya Tiunova The balance usually comes from a hybrid approach: let AI handle the heavy lifting by surfacing anomalies, but require analysts to validate context, investigate edge cases, and make final decisions. Dashboards should highlight outliers, not replace the deeper audit process. Continuous feedback loops between analysts and AI also improve detection without sacrificing human judgment.
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