A little Black Hat throwback 🎥 While thousands descended on Las Vegas for #BHUSA#, our team was behind the scenes in the Network Operations Center (NOC) securing the world's largest cybersecurity conference. Want to see what it takes to keep the most targeted network in the world safe? Watch this behind-the-scenes look to see how it all happens.

4X a Leader in SASE and SSE. For the fourth consecutive year, we’ve been recognized as a Leader in both the Gartner® Magic Quadrant™ for SASE Platforms and SSE. See why we believe vision + execution matter more than ever in the AI era.

Palo Alto Networks has closed its acquisition of @embracemobile By adding Real User Monitoring (RUM) and ADEM-powered Synthetics to our Observability platform, we are empowering organizations to gain a complete, unified view of end-user interactions and backend software and infrastructure. Learn how to transform your digital experience monitoring ➡️

AI coding agents like Claude Code, Codex, Copilot, and Cursor can access repos, invoke tools, and connect through MCP. Prisma AIRS AI Gateway and AI Runtime Security inspect these interactions inline to stop threats, protect code and secrets, and enforce policy before risk becomes impact. Secure AI from prompt to action.

Security and resilience are becoming essential foundations for innovation. 🔐 NTT DATA and @PaloAltoNtwks are helping organizations modernize security, simplify complexity and build trusted digital foundations for growth. #Partners#

We’re thrilled to welcome Stefano Ciminelli as VP, EMEA for @Unit42_Intel. Stefano brings deep expertise to lead our threat intel & incident response teams across the region to help organizations defend stronger. Welcome, Stefano! 🎉

Thrilled to share: @awscloud has been named @PaloAltoNtwks 2026 Cloud Provider of the Year! 🏆 This reflects the work our teams do together to help customers modernize their security posture. Congrats to everyone involved. 🚀 #AWS# #PartnerOfTheYear# #Cybersecurity# #CloudSecurity#

55 days. That’s the average time it takes to patch a vulnerability found in the wild. AI is rapidly compressing the time it takes to find those vulnerabilities and build attacks. @nikesharora breaks down what that shift means for cybersecurity on the 20VC Podcast.

Traditional EDR was built for human activity, not autonomous AI agents. As teams adopt frontier AI tools, a major visibility gap is emerging on the endpoint. Learn how Agentic Endpoint Security (AES) provides total visibility and real-time control where legacy security falls short 👇

When attacks move at machine speed, network defense has to move faster. Explore virtual patching, AI-powered operations, post-quantum security, and more at InterSECt 2026. Watch it on demand.

As AI reshapes the threat landscape, security teams need to move faster than ever. ⏯️ See how NTT DATA's Managed Extended Detection and Response, powered by @PaloAltoNtwks Cortex XSIAM, uses AI, automation and 24/7 SOCs to strengthen cyber resilience. #MXDR#

How do you scale AI innovation without scaling risk? 🔐 As outlined by @SiliconANGLE, organizations are balancing AI adoption with growing security and governance demands. Our expanded alliance with @PaloAltoNtwks helps address that challenge:

Vibe-coding agents have access to developers' open source MCP connectors + integrations. Co. “research suggests that 1/3 of publicly available MCP servers carry takeover level vulnerabilities…" -- @AOswal1234, @PaloAltoNtwks #CXOTalk# #CSO# #CISO# #AIagents# #Cybersecurity#

Securing agentic AI means looking beyond the core application code 🔒 Agents interpret conversational goals instead of following fixed scripts. Misread context can create permission risks, while modified orchestration skills can trigger unauthorized behavior at runtime.

Can't let this go by without a comment. You are directionally right. The challenge continues to be the fragmented IT infrastructure at enterprises and nation states. All vulnerabilites that aren't patched, all configurations that havent been updated to ensure that doors are open, can and will be found with Mythos class models. (Ad: we just announced that we can bring Mythos testing to you exclusively or as part of a multi harness model). There needs to be a concerted effort by all enterprises and nation states to discover and have a remediation plan. Having said that, the story will not stop there. Attack paths will be developed by AI models trained to exploit vulnerabilities, to launch phishing attacks, to hijack credentials. However robust your perimeter defense is and patching strategy is, one needs an AI based detection and remediation approach in case attackers get past. The solve here is a robust enterprise security data lake, running machine speed detection and remediation. Don't fall for band aid approaches, of which there are plenty, fragmented data layers with agents running on top (broadly called AI SOC agents) won't do the trick. AI needs high fidelity data to operate, it needs proactive detection and agentic remediation across all enterprise assets. Not to add more - while we are busy doing this, the deployment of agents and agentic AI is rapidly creating new attack surfaces because most coding and agentic deployments today aren't secured.

What I appreciate most about how we're doing this: you choose. Use the model you prefer, or let us run a multi-model harness across your environment. Either way, frontier capability meets @PaloAltoNtwks & @Unit42_Intel expertise. This is what Frontier AI Defense looks like in practice.

Have been working really hard to ensure all our customers and prospects can get access to the latest models. Delighted to share that we can bring the latest and greatest cyber models to you, our recently announced partnership with OpenAI and now Anthropic will let us bring Mythos and equivalent models to you, you can have us use the model you would like or we can use a multi model harness to be comprehensive and work with your teams to test your infrastructure. This is an example of how frontier LLMs and the cyber industry will work together to bring AI capability to our customers, their model our expertise together - Frontier AI defense.

Defenders can now test exploitability and validate attack paths before attackers act. Through an expanded agreement with @AnthropicAI, @Unit42_Intel Exposure Analysis is integrating Claude Mythos 5. Guided by Unit 42 experts, this model helps defenders find hidden exposures and prioritize fixes. See how this integration empowers defenders.

When vulnerabilities can become exploits in minutes, traditional response timelines no longer hold. Our Chief Product and Technology Officer, Lee Klarich, explains to @Sourceryy's @MollySOShea why defenders must adapt for the Frontier AI era. See how we're helping defenders stay ahead.

“There’s always somebody else who’s got a different angle.” @nikesharora joins @MollySOShea on @sourceryy to unpack why staying ahead in cybersecurity means knowing when to build, partner, or acquire.