How Automation Improves Threat Detection

Security teams don’t have a detection problem—they have a noise problem. Every day, analysts receive an overwhelming number of security alerts, 90% of which are false positives. Instead of focusing on actual threats, they are buried in investigations that lead nowhere. That’s where automation must evolve. AI shouldn’t just be a helper. It should take on the workload of a Tier-1 analyst, cutting through the noise and ensuring security teams can act where it matters most. Too Many Alerts, Too Little Time SOC teams receive thousands of alerts daily, but only a small percentage indicate real threats. The challenge isn’t finding alerts—it’s pinpointing the ones that require action before it’s too late. Traditional Automation Falls Short Many security automation tools require complicated playbooks and continuous maintenance, increasing workload rather than decreasing it. What’s needed is an AI-driven system that operates like an analyst, not just a rule-based processor. Real Security Means Real Focus When AI autonomously manages Tier-1 triage, analysts regain control. They can redirect their focus from investigating a flood of alerts to preventing real attacks before any damage is done. Is your security team working smarter, or just working harder? Let’s discuss. #CyberSecurity #SOC #ThreatDetection #AI #SecurityOperations

AI and data are changing how we protect our organizations, and there are some smart ways CISOs can make the most of these tools. First, machine learning helps spot unusual behavior by analyzing tons of data in real time—things like odd login times or unexpected scripts running. Yet, models need to keep learning, so regularly updating them with new info and analyst feedback is key. Bringing data scientists into security teams can really sharpen threat detection by tailoring insights to your specific setup. Plus, custom AI models can help hunt threats, spot vulnerabilities, and even flag AI-generated attacks. Transparency is important too. Explainable AI helps everyone understand why a system flags something, building trust and better decisions. At the end of the day, close teamwork between security pros and data experts makes all the difference. #AI #MachineLearning #Cybersecurity #CISO

Agentic Security isn’t just responding—it’s staying ahead, predicting, adapting, and neutralizing threats before they strike. In my latest blog post, I explore how AI-driven, autonomous security frameworks are shifting cybersecurity from a reactive expense to a proactive, self-evolving defense system that operates at machine speed. 🔹 The Problem: Cyber adversaries are getting smarter, exploiting vulnerabilities faster than traditional security teams can respond. 🔹 The Solution: Agentic Security, a fully autonomous security framework that combines multi-modal vulnerability scanning, jailbreak detection, self-learning AI, and RL-based attack mitigation, creating a self-healing security pipeline that works at machine speed. Key Takeaways: ✅ Autonomous Security Pipeline – AI-driven detection, response, and remediation without human bottlenecks. ✅ Multi-Step Jailbreak & Fuzzing Detection – Shielding LLMs from adversarial exploitation. ✅ AI-Powered DevSecOps – Seamless security automation integrated into CI/CD workflows. ✅ RL-Based Attack Simulations – AI stress-testing APIs and systems before hackers do. ✅ Self-Learning Threat Models – Adapting in real time to emerging attack patterns. Read More: https://lnkd.in/e7JxuBPm

𝗗𝗮𝘆 𝟭𝟮: 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗔𝗜/𝗚𝗲𝗻𝗔𝗜 𝘁𝗼 𝗳𝗶𝗴𝗵𝘁 𝗮𝗱𝘃𝗲𝗿𝘀𝗮𝗿𝗶𝗲𝘀 One of the most pressing challenges in cybersecurity today is the global talent shortage, with 𝗮𝗽𝗽𝗿𝗼𝘅𝗶𝗺𝗮𝘁𝗲𝗹𝘆 𝟯.𝟱 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝘂𝗻𝗳𝗶𝗹𝗹𝗲𝗱 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻𝘀 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝗲𝗱 𝗯𝘆 𝟮𝟬𝟮𝟱. This gap poses substantial risks, as unfilled roles lead to increased vulnerabilities, cyberattacks, data breaches, and operational disruptions. While there are learning paths like 𝗩𝗶𝘀𝗮’𝘀 𝗣𝗮𝘆𝗺𝗲𝗻𝘁𝘀 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗽𝗿𝗼𝗴𝗿𝗮𝗺 to help aspiring cyber professionals upskill and build careers, Generative AI (GenAI) and Agentic AI offers a scalable solution by augmenting existing teams. Together, they can handle repetitive tasks, automate workflows, enhance incident triaging, and automate code fixes and vulnerability management, enabling smaller teams to scale and maintain robust security postures. Additionally, they enhance cybersecurity efforts by improving defenses while keeping humans in the loop to make critical, informed decisions. Here are few concept about GenAI in Cybersecurity that I’m particularly excited about: 1. Reducing Toil and Improving Team Efficiency GenAI can significantly reduce repetitive tasks, enabling teams to focus on strategic priorities: • GRC : Automates risk assessments, compliance checks, and audit-ready reporting. • DevSecOps: Integrates AI-driven threat modeling and vulnerability scanning into CI/CD pipelines. • IAM : Streamlines user access reviews, provisioning, and anomaly detection. 2. Extreme Shift Left GenAI can rapidly enhance “Secure-by-Design” into development processes by: • Detecting vulnerabilities during coding and providing actionable fixes. • Automating security testing, including fuzzing and penetration testing. 3. Proactive Threat Hunting and Detection Engineering GenAI can enhance threat hunting by: • Analyzing logs and sensor data to detect anomalies. • Correlating data to identify potential threats. • Predicting and detecting attack vectors to arm the sensors proactively. 4. Enabling SOC Automation Security Operations Centers (SOCs) can benefit from GenAI by: • Automating false positive filtering and alert triaging. • Speeds up analysis and resolution with AI-powered insights. • Allowing analysts to concentrate on high-value incidents and strategic decision-making. 𝟱. Enhancing Training and Awareness • Delivering tailored training simulations for developers and business users. • Generating phishing campaigns to educate employees on recognizing threats. In 2025, I am excited about the transformative opportunities that lie ahead. Our focus remains steadfast on innovation and resilience, particularly in leveraging the power of Gen/Agentic AI to enhance user experience, advance our defenses and further strengthen the posture of the payment ecosystem.   #VISA #Cybersecurity #PaymentSecurity #12DaysofCybersecurity #AgenticAI