Exemples de lead magnets LinkedIn en cybersecurity

The coffee that broke the rules (and why going viral won’t get you  leads for your cybersecurity company) A former client of mine went viral earlier this year for something completely unexpected. She's a photographer and digital nomad, and she was staying at a hotel where the lobby coffee machine was unplugged. Instead of asking the hotel staff for permission, which she knew would be denied, she just plugged it back in and made herself a cup of coffee. She posted about it, and it was shared. Some people called her a rebel, and suddenly she was doing TV and radio interviews about the incident. It was hard to miss on my feed, but what really caught my attention was that, afterward, when I searched for her work, the viral post didn't help at all. The people who search for "travel or event photographer" never saw it. The algorithm showed it to people who thought rule-breaking was daring, disrespectful, or brave, not to people who needed her services. I see cybersecurity founders falling into the same trap. They'll post something clever that gets tons of engagement, such as a controversial take on return-to-office policies or their thoughts on the latest marketing automation trend. Great numbers, lots of comments. –But the legal teams dealing with GDPR compliance? –Are cyber risk officers worried about incident response? They're not necessarily seeing those posts. My client got famous for a week. But she didn't get booked for any photo shoots. The takeaway: –Viral content gets you likes.  –Targeted content gets you leads. If you're ready to focus on reaching the decision-makers who actually are relevant to your cybersecurity solutions, DM me "rebel" for a free LinkedIn audit.

🤯 AI is BREAKING traditional cybersecurity in ways we aren't ready to fix. I love the show Stranger Things. This concept of "upside down" has got me thinking how AI has made cyber go “upside down”, in at least 3 ways since GenAI became a thing. Let me explain. [1] AI is BREAKING the traditional ways of identification and verification in today’s world. Deepfakes have not only become commoditised, but they are mostly still unregulated and they have blurred entirely the lines between fake and real, fuelling even further enterprise risks like disinformation, electioneering, fraud, etc. [2] AI is BREAKING the boundaries of risk management for businesses. AI is not just any tech. Even without AGI, AI has issues like ethics, biases, etc. Things can go wrong both at the data and the model level. In all my roles building and leading enterprise risk management, two key things my team and I always did... a) integrate threats into the risk management framework and b) integrate tech risk into enterprise risk. No siloed approach. Yet, I still see so many companies have zero idea of what impact their threat landscape has on their enterprise risk, especially when it comes to AI risks. [3] AI is BREAKING the concept of what once meant "insider threat" Agentic misalignment is real. Even if under certain circumstances, an agentic AI going rogue is highly plausible. You don't need to wait for AGI to happen for AI to go rogue. Your insider threat is no longer just a grumpy employee but now also your agentic AI managing your damn workflows that are critical to your business decisions. Add to that, most companies don't even have insider threat as a part of their threat analysis and risk management. While most basics are still valid, in this world of AI, we do need to re-think and re-asses a lot of those "broken" traditional cybersecurity measures. I published my cybersecurity model in 2020, where I predicted that the next waves of cybersecurity adoption will be adaptive and predictive in nature. In the world of AI, it definitely will need to be. As we are ending this year, here's my BOLD prediction for 2026: — We will see way more "predictive" security measures going forward, e.g. AI helping us hunt threats in real-time (independent of sophistication level and despite the non-sophisticated nature of many attacks). This is going to be massive, as most companies still don't understand their threats, and its impact on business risk. — What's your prediction / PoV for 2026 on how AI / cyber is moving? 🚨 Here's YOUR CHANCE. Drop your comments below with your 2026 prediction (YOUR PoV), follow Armis and I’ll pick three WINNERS that will get a cool merch for free. Are you game? UPDATE: This was a very difficult decision with so many insightful PoVs/predictions. The three winners are Jake, Oge and Dr Mike! A big thanks to everyone for being an epic part of my community. Partnered with Armis #cyberthings #artificialintelligence #cybersecurity #leadership

"It runs 24/7," they said. "Show me." They opened a terminal. Typed a prompt. The agent responded. That's not autonomous. That's a chatbot with extra steps. ━━━━━━━━━━━━━━━━━━━━━━ 🔴 𝗧𝗛𝗘 𝗣𝗥𝗢𝗕𝗟𝗘𝗠: CrewAI. AutoGen. LangGraph. Every one of them waits for you to type. They don't wake up at 6 AM. They don't run without someone watching. They wait. For you. To type. 🔖 Screenshot this. Then ask whether your agent runs without you. ━━━━━━━━━━━━━━━━━━━━━━ 🔷 𝗢𝗣𝗘𝗡𝗙𝗔𝗡𝗚. 𝗧𝗛𝗘 𝗔𝗚𝗘𝗡𝗧 𝗢𝗦: 32MB binary. 180ms cold start. 16 security layers. 5 Hands. Running without you: 𝗟𝗲𝗮𝗱 - Qualified leads before coffee. 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗼𝗿 - OSINT-grade intelligence. 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗼𝗿 - Superforecasting. Brier-scored. 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿 - Deep research. APA citations. 𝗧𝘄𝗶𝘁𝘁𝗲𝗿 - Autonomous posting. Approval queue. `openfang hand activate lead` Live. Without prompts. ━━━━━━━━━━━━━━━━━━━━━━ 🔴 𝗧𝗛𝗘 𝗕𝗥𝗨𝗧𝗔𝗟 𝗧𝗥𝗨𝗧𝗛: The bar for "autonomous" isn't the demo. It's 3 AM on a Tuesday with nobody logged in. 🔗 GitHub in comments. Free. MIT. ━━━━━━━━━━━━━━━━━━━━━━ What's your framework doing right now? W = Waiting R = Running D = Didn't know there was a difference Drop your letter. __________ 🔖 Save this before satisfying yourself with a demo ♻️ Repost if your "agent" is really just a chatbot ➕ Follow Mohammad Syed for AI & Cybersecurity insights

I've spent weeks building this. Today it's ready. Cyber Leadership Edge: The Influence Series A 6-part, in-person programme for cyber leaders who want real influence. Most cyber leaders are technically excellent. But not everyone knows how to make the business actually listen. This series closes that gap. 22 𝐀𝐩𝐫𝐢𝐥 · AI Storytelling for Cyber Leaders 𝘔𝘢𝘬𝘦 𝘱𝘦𝘰𝘱𝘭𝘦 𝘤𝘢𝘳𝘦 𝘢𝘣𝘰𝘶𝘵 𝘳𝘪𝘴𝘬 20 𝐌𝐚𝐲 · Winning Buy-In 𝘐𝘯𝘧𝘭𝘶𝘦𝘯𝘤𝘦 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘢𝘶𝘵𝘩𝘰𝘳𝘪𝘵𝘺 17 𝐉𝐮𝐧𝐞 · Say It So They Say Yes 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘯𝘨 𝘤𝘺𝘣𝘦𝘳 𝘵𝘰 𝘦𝘹𝘦𝘤𝘶𝘵𝘪𝘷𝘦𝘴 15 𝐉𝐮𝐥𝐲  · From Security Plans to Funded Priorities 𝘞𝘩𝘢𝘵 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘨𝘦𝘵𝘴 𝘢𝘱𝘱𝘳𝘰𝘷𝘦𝘥 19 𝐀𝐮𝐠𝐮𝐬𝐭 · What Actually Works 𝘋𝘳𝘪𝘷𝘦 𝘳𝘦𝘢𝘭 𝘢𝘸𝘢𝘳𝘦𝘯𝘦𝘴𝘴 𝘢𝘯𝘥 𝘣𝘦𝘩𝘢𝘷𝘪𝘰𝘶𝘳 𝘤𝘩𝘢𝘯𝘨𝘦 16 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 · Defend Your Cyber Strategy 𝘓𝘪𝘷𝘦 𝘭𝘦𝘢𝘥𝘦𝘳𝘴𝘩𝘪𝘱 𝘴𝘪𝘮𝘶𝘭𝘢𝘵𝘪𝘰𝘯 Real scenarios, peer discussion, guest perspectives, and six sessions that I genuinely believe will change how you lead. 20 seats. That's it. If you've ever left a meeting feeling unheard, this is where that changes. Drop a 🙋 in the comments or DM me to secure your seat. Which of these sessions do you need most right now? Proudly brought to you by Sekuro Asia - An Insight Company, in partnership with Cyber Risk Meetup.

100+ real examples across 10 industries. All using different types of AI to drive business outcomes…take action and operate autonomously. It’s already happening inside the world’s biggest enterprises. From AI diagnosing cancer to autonomous fraud detection to supply chains that self-optimize in real time… The question isn’t “Can AI do it?” It’s 👇 Where are you falling behind? If you’re:  • Exploring AI but don’t know where to start  • Unsure what to automate first  • Worried about wasting budget on experiments  • Trying to make a real business case internally This will open your eyes. Because once you see 100+ real use cases across: -Healthcare. -Finance. -Retail. -Marketing. -Manufacturing. -HR. -Cybersecurity. -Legal. -Logistics. You stop thinking “AI tool.” And start thinking about autonomous enterprise. 📌 Comment “AI” and I’ll send it to you.

Does legal AI actually reduce human error, or does it concentrate it? A lawyer/attorney who doesn't think will misuse AI. But would they have done meaningfully better before? The difference: before, an error stayed local. With an AI playbook deployed across thousands of contracts (including with leading solutions like Harvey, Legora or Spellbook for instance), a design flaw no longer hits one deal. It hits your entire legal infrastructure at once. Cybersecurity has documented this mechanism for years. So has finance (ISDA, 2008). Law is not immune. I published a full analysis of this in The Legal Technologist including concrete conditions for standardisation to remain governed, not just inherited. Link in the comments. Would love to hear your take — especially from in-house counsel, outside counsels and CTOs.

Remote work in 2026 is not about applying everywhere. It’s about positioning strategically. Thanks Karaneeshwaran K for sharing this rich list of tools and platforms. Here’s what many professionals underestimate. Remote hiring today is about: • Strategic positioning • ATS optimization • Visibility beyond platforms • Network leverage • Personal branding Applying is easy. Positioning is strategic. I’d be glad to co-create a short LinkedIn podcast to go deeper and give concrete, immediately applicable steps. 20–30 minutes. Zero fluff. 100% actionable. If that would help you, comment - 2026JOB - below Let’s make it practical.

🚨 Ils dorment tous… pendant que leurs entreprises sont en train de brûler vives. Ils se croient invincibles. « Notre code est propre. » « On est sur Vercel, on a des protections. » « Les attaques IA, ça n’arrive qu’aux autres. » Quelle négligence criminelle ! Hier, Vercel a subi une brèche réelle. Aujourd’hui, Lovable est en train de flamber : des applications générées par IA exposent des milliers de données clients, des identifiants de production, des historiques sensibles… parce que le code « qui marche » n’est jamais du code sécurisé. Et demain ? Ce sera vous. Pendant que la plupart des fondateurs, CTO et builders ferment les yeux avec arrogance, n’importe quel utilisateur gratuit peut déjà accéder à : • Votre codebase complète • Vos clés de production (AWS, GCP, Stripe, Vercel…) • Tous vos historiques de chats IA • Vos enregistrements et données clients en direct Face à cette nouvelle ère où seule une IA peut arrêter une IA, la majorité des entrepreneurs continue de scaler… en mode réactif, aveugle et négligent. Kagliostro.cloud change radicalement la donne. Portée par Kamaloka AI Technologies LLC , Kagliostro est la plateforme de cybersécurité de nouvelle génération qui transforme la gestion des vulnérabilités : Du modèle réactif → vers un modèle proactif et autonome. Au lieu de simplement lister des failles comme les scanners classiques, Kagliostro simule un attaquant sophistiqué pour anticiper les menaces réelles. Kagliostro fusionne intelligence artificielle offensive et défensive pour offrir une protection en temps réel, autonome et intelligente. Si vous êtes encore en train de penser « chez nous, ça n’arrivera pas »… vous êtes exactement le profil des prochaines victimes. Réveillez-vous. Maintenant. DM moi le mot « KAGLIOSRO » immédiatement et je vous envoie : Un audit rapide et concret de votre exposition aux menaces IA (gratuit, en moins de 5 minutes) Ne soyez pas le fondateur négligent qui a tout perdu par excès de confiance. Soyez celui qui a transformé ses risques en forteresse avant qu’il ne soit trop tard. Le feu est déjà là. Allez-vous continuer à regarder ailleurs ? #AISecurity #Cybersecurity #ZeroDay #ClaudeMythos #VercelBreach #Lovable #KagliostroCloud #IAOrchestration #CyberApocalypse #StartupSecurity