Cybersecurity: AI Agents Need Protection, Companies Unprepared

AI is no longer a “nice to have” in cybersecurity. It’s now essential for detecting threats in real time, meeting regulatory requirements, and doing more with limited resources. In our latest article, Adam Wisnieski breaks down how AI can help your company — providing practical examples, ROI tips, and guidance on where to start with AI integration. Don’t let your cyber strategy fall behind. Read the full article now: https://hubs.la/Q03H2_yP0 #Cybersecurity #AI #MiddleMarket #RiskManagement #Compliance #MGO #DigitalTransformation #DataPrivacy #BusinessResilience

AI is revolutionising the business world – but are we prepared for the risks it brings? From phishing emails cleverly crafted by LLMs to deepfake scams costing millions, savvy cybercriminals are leveraging generative AI to reshape the threat landscape. - 57% of organisations have limited their GenAI rollout to lower-risk users. - 40% have delayed their deployment by months due to governance and security concerns. AI adoption is no longer optional, but deploying it responsibly—while maintaining cyber resilience—is where the real challenge lies. Discover cutting-edge insights into AI-driven cyber risks, real-world examples of attacks, and how frameworks like AI trust, risk, and security management can protect your organisation. Read more with the link below. https://lnkd.in/gTGQ9JdC

𝗔𝗜 𝗶𝘀 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗶𝗻𝗴𝗹𝘆 𝗮𝘁 𝘁𝗵𝗲 𝗵𝗲𝗮𝗿𝘁 𝗼𝗳 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗯𝘂𝘁 𝗶𝗳 𝘄𝗲 𝗰𝗮𝗻'𝘁 𝗲𝘅𝗽𝗹𝗮𝗶𝗻 𝗶𝘁𝘀 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀, 𝗵𝗼𝘄 𝗰𝗮𝗻 𝘄𝗲 𝘁𝗿𝘂𝘀𝘁 𝘁𝗵𝗲𝗺? Explainable AI (XAI) isn’t just a buzzword. It’s the bridge between automation and accountability. In high-stakes environments, it’s not enough to know a system blocked a threat; we need to know why. Transparency matters when trust is on the line. Incorporating explainability into AI-driven tools helps align security decisions with human logic and business context. 𝗔𝘁 𝗖𝘆𝗯𝗲𝗿𝗦𝗲𝗰 𝗔𝗻𝗱 𝗜, 𝘄𝗲 𝗵𝗲𝗹𝗽 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗲𝘆 𝗰𝗮𝗻 𝘁𝗿𝘂𝘀𝘁, 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗶𝗻 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝘀𝘁𝗮𝗿𝘁𝘀 𝘄𝗶𝘁𝗵 𝗰𝗹𝗮𝗿𝗶𝘁𝘆. 𝗟𝗲𝘁’𝘀 𝗺𝗮𝗸𝗲 𝗔𝗜 𝗶𝗻 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗺𝗼𝗿𝗲 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗹𝗲. #Cybersecurity #ExplainableAI #AIinSecurity #TrustInTechnology #ResponsibleAI #SecurityIntelligence #CyberSecAndI #SecureYourFuture

Lenovo’s recent chatbot breach serves as a reminder of the security challenges we face with AI deployments. Too often, AI systems are treated like experimental projects rather than critical parts of a business - and that puts sensitive data and customer trust at risk. 🚀 At DataFortified, we take a different approach. We provide advanced AI-powered cybersecurity solutions designed to protect businesses from threats like prompt injection attacks, session hijacking, and vulnerabilities in third-party vendor and supply chain systems. ✅ It’s about more than just technology - it’s about treating AI security with the same rigor and care as any other mission-critical application. Continuous monitoring, threat intelligence and strong input/output sanitisation are all key to staying ahead of adversaries. If you’re integrating AI into your business, don’t wait until a breach happens. Let’s talk about how to build security into your AI from day one. Read the the full article here: 👉 https://lnkd.in/eF2ffp9v #AIsecurity #Cybersecurity #DataProtection #RiskManagement #AI #DataFortified

Cybersecurity firms worldwide are booming, as I write in this short piece in The Economist today. This backdrop is expected to be reflected in the quarterly results that CrowdStrike, a big American security firm, will release today. Chalk it up to AI. The technology is helping cybersecurity outfits detect vulnerabilities and threats. And a few big firms, CrowdStrike included, are investing heavily in “agentic” AI models that take action autonomously. But hackers are also using AI to launch more sophisticated attacks. That’s bad news for pretty much everyone—save, of course, the cybersecurity industry. https://lnkd.in/dWj8-_C4

💡 In 2025, cyberattacks aren’t just faster — they’re smarter. Small and mid‑sized businesses are now prime targets, and traditional defenses can’t keep up. That’s where AI‑powered cybersecurity changes the game. From real‑time threat detection to predictive analytics, AI is helping SMBs stop attacks before they happen without enterprise‑level budgets. In our latest article, we cover: 🔹 Why traditional security tools are falling behind 🔹 How AI detects and neutralizes threats in seconds 🔹 Affordable AI‑driven solutions SMBs can deploy today 🔹 How partnering with the right IT provider maximizes protection 📈 The takeaway: AI isn’t the future of cybersecurity — it’s the present. And the businesses that adopt it now will be the ones still standing tomorrow. 👉 Read the full article here: https://lnkd.in/gq-t6CwU #Cybersecurity #AI #SmallBusiness #ITSupport #ManagedIT #TechTrends2025 #BusinessSecurity #DigitalTransformation

AI + Cybersecurity: The New Frontline 🔐🤖 AI is transforming the cyber battlefield: Attackers: 🎯 Smarter phishing, 🦠 adaptive malware, ⚡ lightning-fast exploits. Defenders: 🛰️ Real-time anomaly detection, 🤖 automated response, 🔮 predictive protection. The future? 👩💻+🤖 = 🛡️ Unstoppable Defence. #AI #CyberSecurity #AIFrontline #AIDefence #AIThreats #EnterpriseAI #ResponsibleAI #DigitalTransformation #BrioDigital #VirtualBench

Modern cyber threats can strike in seconds, so real-time analytics have become essential for staying secure. Advanced cybersecurity systems now analyze huge streams of network data, user activity, and access logs in real time, using AI and machine learning. These analytics platforms detect not just known attack signatures, but previously unseen zero-day exploits by recognizing patterns. When something suspicious is found, alerts are triggered and automated response actions can quickly contain risks. Real-time dashboards and continuous monitoring also speed up investigations and compliance reporting. Secure your Data with StatDevs! #CyberSecurity #RealTimeAnalytics #ThreatDetection #AIinSecurity #DataAnalytics #IncidentResponse #NetworkSecurity #SIEM #MachineLearning