How to address AI security challenges with Melinda Marks and Torsten Volk

AI in Software Development: What’s New? Tools like Snyk & Checkmarx detect 40% more vulnerabilities, cutting testing time by 50%. Platforms like ClickUp & Jira predict timelines with 30% more accuracy. AI is making development faster, smarter, and more secure. #bitfoundry #ai #softwaredevelopment #innovation #devsecops #cybersecurity #projectmanagement #technews #bitfoundrytechnepal

🔍 AI meets cybersecurity — introducing Google DeepMind’s CodeMender. The new AI-powered agent can detect, patch, and rewrite vulnerable code — autonomously. With over 72 open-source security fixes already submitted, CodeMender represents a major leap toward self-healing software systems. DeepMind believes this could transform how developers manage large-scale codebases — blending automation with reliability. Discover how CodeMender is redefining software security 👇 https://lnkd.in/gR7JXsje #GoogleDeepMind #CodeMender #ArtificialIntelligence #Cybersecurity #SoftwareDevelopment #Innovation

Generative AI is changing the rhythm of attack and defense for application security. Attackers are learning faster than ever, while traditional models struggle to keep pace. Discover Consequence Defense, a modern approach that helps security teams slow attacker learning, raise costs, and contain impact without disrupting user experience. Read or download the full article: https://lnkd.in/gqmp-gNS #ApplicationSecurity #CyberSecurity #GenAI #RedShieldSecurity #CyberResilience

GenAI and agentic AI shrink attacker cycle times in application security while enterprise change control slows defenders, widening the asymmetry. Our answer isn’t to chase a perfect classifier - gate-style tools can be bypassed - but rather Consequence Defence: make attacker attempts slower, costlier, and less certain. Enforce strict, consistent parsing and normalisation, backed by tight validation and context-aware encoding, to remove parser quirks as an attack surface. Keep customer paths running with context-safe handling - neutralise risky content rather than blanket-blocking it. Then disrupt feedback with light deception and even short “waiting rooms”, add identity pressure on risky requests, and design for containment to cap blast radius...

Modern web security is one-sided! Defenders must block every threat, but attackers need only one gap—and with generative AI speeding up both sides, attacks are now faster and harder to stop than defenses limited by rules and change controls.

🌟 Exciting times in the world of cybersecurity! Automated vulnerability detection is revolutionizing how we safeguard our software systems by harnessing cutting-edge technologies like machine learning and artificial intelligence. 🔐 By automating the process, we can now swiftly identify and address vulnerabilities, reducing the risk of data breaches and bolstering trust with our users. As we navigate today’s fast-paced development environments, this innovation ensures our defenses are stronger and more adaptive than ever. 🚀 Stay ahead of security threats and keep your data safe – embrace the power of automation! 💪 #Cybersecurity #Innovation #MachineLearning #DataProtection #AI #TechInnovation #SecureSoftware #DigitalSecurity

AI in Coding: A Security Concern Julio A. “AI speeds up software development — but speed often comes at the cost of security. The issue: AI doesn’t prioritize code quality or secure design. Its goal is to generate working code quickly — not to ensure it’s free from vulnerabilities. That means applications built with AI can be delivered faster, but also with hidden risks if developers don’t review and secure them properly.” #AI #softwaredevelopment #appsec #cybersecurity #r19io

𝐕𝐢𝐬𝐮𝐚𝐥 𝐒𝐭𝐮𝐝𝐢𝐨 2026 = 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐛𝐲 𝐃𝐞𝐬𝐢𝐠𝐧 From AI‑powered vulnerability detection to smarter dependency scanning, the new release helps you code faster and safer. 🔒 Built‑in security. ⚡ Real‑time insights. 🛡️ Confidence in every commit. 👉 Swipe through the carousel to see how VS 2026 is redefining secure development. #VisualStudio2026 #SecureCoding #CyberSecurity #DevCommunity

AI IS THE NEW CYBER DEFENDER! 🛡️ Google DeepMind just deployed CodeMender, an autonomous AI agent that finds, fixes, and rewrites software code to eliminate critical vulnerabilities. This new system, powered by Gemini, has already contributed 72 security fixes to major open-source projects! Follow us for more updates on AI's role in code security and tech innovation! #GoogleDeepMind #CodeMender #Cybersecurity #AI #DevSecOps #SoftwareSecurity #Google #AI

Anyone who wants to deliver innovation at the enterprise level must be ready for the tough questions. There’s always pressure to have all the answers, but some questions are meant to stay hard. Especially when it comes to security. When it comes to AI adoption, along with its many opportunities come new kinds of risks. Prompt injection: hidden instructions that manipulate a model’s behavior. Data poisoning: corrupted training data that leads to wrong or biased outcomes. These concepts will increasingly demand our attention. #ArtificialIntelligence #Cybersecurity #Modus #PapyrosECM #EnterpriseAI #Innovation