Embracing the AI Revolution in SecOps Modern applications, workloads and microservices are generating vast amounts of data faster than most security operations centers (SOCs) can adapt. And security teams operating on a legacy SOC model can spend hours — even days — triaging a single threat event. How can SOC teams outpace modern threats? By fighting technology with technology and leaning into AI to augment analysts, SOC teams can amp up their defenses and focus on more critical issues. Join us to hear how real teams improved their security outcomes with a machine-led, human-empowered SecOps platform. At the event, you will hear detailed Cortex® XSIAM™ case studies. Gain insights on: ● Unleashing machine learning and automation in your SOC. ● Streamlining your existing security stack, including SIEM and endpoint. ● Outperforming benchmarks for detection and response times. Save your seat today!

In today's world, as work becomes more location-independent, the attack surface has expanded exponentially. Adopting a SASE architecture helps you create and enforce a consistent security posture without compromising workforce agility, enabling your employees to access data and applications from anywhere. If you would like to gain unprecedented visibility across your network while ensuring flexible, resilient user access irrespective of the location, then this Masterclass is for you. Join the SASE Masterclass to confidently assess if your organization is ready to embrace SASE. What can you expect to learn? Driving the future with AI-powered SASE Customer insights: Branch transformation with Single vendor SASE vs. Mix-and-Match Deploying a successful SASE architecture Also, learn from real-world use cases to understand if your organization is ready to adopt SASE. Witness SASE in motion and benefit from best practices and SASE design principles. Sign up for the session today!

FedTalks 2023, Presented by FedScoop. Live from the Waldorf Astoria in Washington, D.C..

Modern security threats are evolving at a faster pace than security technologies. Well-funded threat actors are investing in tools like machine learning (ML), automation and artificial intelligence (AI). SOCs with legacy technologies aren’t equipped to accurately detect and defend modern attacks. How can security technologies fight back? Join our upcoming live webinar to learn how you can transform SecOps to combat advanced attacks and improve efficiencies to get your SOC ready for the future. In this webinar, we will share our SOC transformation playbook that highlights: Today’s cyberthreats The challenges facing traditional SOCs 5 steps to building a super SOC 4 superpowers for building a resilient and effective SOC Register now and get ready to activate your SOC superpowers.

A healthcare provider relies on Palo Alto Networks to provide comprehensive medical IoT security

Advanced AI will radically change the nature of government operations, policy and security, including changing the capabilities of human teams.

A large public sector healthcare organization had millions of unsecured IoMT and IoT devices jeopardizing patient care, data privacy, and network security.

Cloud workload protection platform (CWPP) solutions evaluated by Frost and Sullivan in the 2023 Frost Radar report help organizations match the CWPP to their needs.

Today’s organizations are complex, cloud-enabled, and continually transforming—with increasingly larger IT environments and more distributed endpoints.

SOC 팀은 적절한 모델, 리소스, 데이터를 갖춘 AI로 사이버 보안을 자동화하고 오늘날 네트워크에서 발견되는 위협의 양과 정교함을 처리할 수 있어야 합니다.

Los equipos del SOC necesitan inteligencia artificial (los modelos, recursos y datos) para automatizar la ciberseguridad y estar a la altura del volumen y el nivel de sofisticación de las amenazas presentes en las redes actuales.

As equipes de SOC precisam de IA — os modelos, os recursos e os dados certos — para automatizar a segurança cibernética para que possam lidar com o volume e a sofisticação das ameaças vistas nas redes hoje.

今日のネットワークで見られる脅威の量と巧妙さにSOCチームが対処するにはサイバーセキュリティを自動化するAIが必要であり、それには適切なモデル、リソース、データが要求されます。

SOC 團隊需要 AI (正確的模型、資源和數據) 自動實現網路安全性，藉以因應現在網路上出現的威脅數量和複雜度。

I SOC hanno bisogno dell'intelligenza artificiale, con i modelli, le risorse e i dati giusti, per automatizzare la sicurezza informatica, in modo da poter gestire il volume e il livello di sofisticazione delle minacce che colpiscono oggi le nostre reti.

Ce qu’il leur faut, c’est une intelligence artificielle combinant les bons modèles, les bonnes ressources et les bonnes données. Seule cette technologie leur permettra d’automatiser leur sécurité pour mieux faire face au volume et au niveau de sophistication des menaces qui planent sur les réseaux.

SOC-Teams benötigen KI – mit den richtigen Modellen, Ressourcen und Daten –, um die Cybersicherheit zu automatisieren. Nur so können sie die schiere Menge und die Komplexität der Bedrohungen bewältigen, die heute in Netzwerken auftreten.

SOC 团队需要使用人工智能（即合适的模型、资源和数据）来自动保障网络安全，以便应对当今网络的威胁数量和复杂性。

Los equipos de SOC necesitan IA, modelos, recursos y datos adecuados, para automatizar la ciberseguridad a fin de controlar el volumen y la complejidad de las amenazas detectadas en sus redes en la actualidad.

Keeping up with cyber threats in the highly regulated and cloud-enabled US Public Sector can be challenging.

Cloud Security is composed of various technologies and tools designed to protect each aspect of the shared responsibility model.

Public Sector Ignite '23 will bring together leading cybersecurity experts and government luminaries to explore what’s next in cybersecurity.

State, local, and education (SLED) organization’s IT and security teams face challenges with implementing security solutions while often dealing with limited budgets and staffing. Additionally, they must navigate rules and regulations at state and local levels, as well as federal regulations and requirements. This e-book showcases real-world conversations with SLED security leaders who discuss how Cortex XDR, Cortex XSOAR, and Cortex Xpanse help minimize those challenges via automation, analytics, and machine learning to transform their security operations.

SOC teams need AI—the right models, resources, and data—to automate cybersecurity, so they can handle the volume and sophistication of the threats seen on networks today. Customers use Cortex to elevate their SOC teams and improve their results, all while making security more visible, comprehensive, and future-ready. Discover how.

Prisma Cloud helps enable DevSecOps and containerized development, making it easier to achieve a continuous Authority to Operate (ATO).

Delivering code-to-cloud security for U.S. government multicloud environments.

Federal departments and agencies will use the cloud as a new foundation upon which to build more effective security across domains, including cyberspace.

Reaver malware family has shared command-and-control (C2) infrastructure overlap SunOrcal malware that has been used concurrently since late 2016.

A bot is a piece of malware that infects a computer to carry out commands under the remote control of the attacker.

The federal governments will use cloud as a new foundation to build more effective security capabilities across domains - including cyberspace. An explosion of government adoption of public, private, hybrid, and cloud services have introduced new ways to scale and deliver efficient operations across multiple cloud platforms. As federal agencies continue to transition and expand their footprint into the cloud, it is critical to ensure these systems are secure and vulnerabilities are addressed immediately.