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Introducing Upwind AI Security: One platform, built for the agentic era
Key takeaways: Cloud security and AI security stop being two things For the last couple of years, a lot of the security industry has been quietly insisting that AI security has to be its own thing. Keep tools, teams, budgets, and dashboards separate or else… Well, we disagree. We listened to our customers, and what…

The 5 Hidden Challenges of Securing Enterprise AI in 2026
Key takeaways: The CISO squeeze in 2026 If you’re a CISO right now, you already know the feeling. The board wants an AI strategy immediately. Engineering is already shipping copilots, agents, and Gen-AI workflows into production. Teams are connecting models to APIs, internal systems, SaaS platforms, and cloud infrastructure faster than governance can keep up.…

The AI Visibility Gap: Why You Can’t Secure What You Can’t See
Key Takeaways What "AI visibility gap" actually means I've spent most of my career running security at companies that were three steps behind their own infrastructure. No judgement because in many ways that's the job… you catch up, the platform team ships something new, you catch up again. You could consider it a treadmill to…

AI-BOM, AI-Inventory, AI-NHI: A Practitioner’s Field Guide
Key Takeaways Closing the gap, in practice The visibility gap post made the strategic case: cloud security tools were built for static infrastructure, AI workloads are runtime workloads, and the snapshot model can't see them. The three capabilities that actually close it are AI-Inventory, AI-BOM, and AI-NHI, and I'll walk through each one in order:…

Stop Prompt Injection at Runtime: Inside the Multi-Step AI Attack Chain
Key Takeaways Listen in on most security teams talking about prompt injection in 2026 and you'll hear something like, "it's a model problem, we have guardrails, we're fine." Three months later an attacker is exfiltrating customer records through that same model, and the SOC has no clue why their CDR didn't fire. Prompt injection is…

Silent Data Bleed: How Unsanctioned AI Egress Drains Your Cloud
Key Takeaways A silent data bleed looks like this. Somewhere in your cloud, an EC2 workload is making an HTTPS call to api.deepseek.com or api.openai.com or api.anthropic.com. The TLS handshake is identical to every other vendor API call in your environment, the destination is fronted by a CDN your monitoring already trusts, the payload is…

Why Testing AI Like Software Fails and What to Do Instead
Key Takeaways Allow me to let you in on a methodology secret Most security teams I talk to now have budget allocated for AI security testing in 2026. Most are spending it the same way they spent security budgets before AI existed: I’ve done the same thing myself more than once. It’s the path of…

Why Your AI Pen Test Lied to You
Key Takeaways The CISO bottleneck in 2026 If you're a CISO in 2026, you're probably the slowest part of your company's AI strategy. Not because you're slow, but because the rest of the org can stand up new AI features in days, while the security review cycle is still measured in weeks. Product is shipping…

Agentic Cloud Security Is Only as Smart as Its Runtime Context
Key Takeaways Agentic cloud security is everywhere. What's actually real? Every cloud security platform shipped AI agents this year, but the differentiator isn't the agents. It's the data architecture they reason on. Investigation agents, remediation agents, triage agents, copilots, analyst agents, workforce agents. Rest assured, most of these are real systems. But some are LLM…

Shai-Hulud: Here We Go Again – Dissecting a Supply Chain Worm Across the TanStack Ecosystem
Executive Summary A new wave of the Mini Shai-Hulud campaign compromised dozens of official @tanstack/* npm packages by abusing CI/CD publishing workflows and trusted npm release mechanisms. Unlike traditional dependency malware focused only on downstream execution, this operation behaves as a self-propagating supply chain worm designed to continuously spread across repositories, developer environments, and CI/CD…

Introducing the Upwind MCP Server: Realtime Context for Stronger Cloud Security
Security teams already have enough findings to sort through. Vulnerabilities, misconfigurations, and alerts pile up every day, but only a limited number create real risk in production. The harder problem is knowing which issues are exposed, active, and worth fixing first. The Upwind MCP Server connects MCP-compatible clients to selected Upwind context and capabilities, helping…

Dirty Frag: A Universal Linux Local Privilege Escalation via ESP and RxRPC (CVE-2026-43284 / CVE-2026-43500)
Executive Summary Dirty Frag is a new Linux kernel local privilege escalation that combines two kernel bugs - one in the IPsec subsystem and one in RxRPC, giving any unprivileged local user a root shell on every major distribution. The exploit is reliable and lasts until a reboot or cache fault Public PoC code has…
Latest

May 12, 2026
The 5 Hidden Challenges of Securing Enterprise AI in 2026
Key takeaways: The CISO squeeze in 2026 If you’re a CISO right now, you already know the feeling. The board wants an AI strategy immediately. Engineering is already shipping copilots, agents, and Gen-AI workflows into production. Teams are connecting models to APIs, internal systems, SaaS platforms, and cloud infrastructure faster than governance can keep up.…

May 12, 2026
The AI Visibility Gap: Why You Can’t Secure What You Can’t See
Key Takeaways What "AI visibility gap" actually means I've spent most of my career running security at companies that were three steps behind their own infrastructure. No judgement because in many ways that's the job… you catch up, the platform team ships something new, you catch up again. You could consider it a treadmill to…

May 12, 2026
AI-BOM, AI-Inventory, AI-NHI: A Practitioner’s Field Guide
Key Takeaways Closing the gap, in practice The visibility gap post made the strategic case: cloud security tools were built for static infrastructure, AI workloads are runtime workloads, and the snapshot model can't see them. The three capabilities that actually close it are AI-Inventory, AI-BOM, and AI-NHI, and I'll walk through each one in order:…

May 12, 2026
Stop Prompt Injection at Runtime: Inside the Multi-Step AI Attack Chain
Key Takeaways Listen in on most security teams talking about prompt injection in 2026 and you'll hear something like, "it's a model problem, we have guardrails, we're fine." Three months later an attacker is exfiltrating customer records through that same model, and the SOC has no clue why their CDR didn't fire. Prompt injection is…

May 12, 2026
Silent Data Bleed: How Unsanctioned AI Egress Drains Your Cloud
Key Takeaways A silent data bleed looks like this. Somewhere in your cloud, an EC2 workload is making an HTTPS call to api.deepseek.com or api.openai.com or api.anthropic.com. The TLS handshake is identical to every other vendor API call in your environment, the destination is fronted by a CDN your monitoring already trusts, the payload is…

May 12, 2026
Why Testing AI Like Software Fails and What to Do Instead
Key Takeaways Allow me to let you in on a methodology secret Most security teams I talk to now have budget allocated for AI security testing in 2026. Most are spending it the same way they spent security budgets before AI existed: I’ve done the same thing myself more than once. It’s the path of…

May 12, 2026
Why Your AI Pen Test Lied to You
Key Takeaways The CISO bottleneck in 2026 If you're a CISO in 2026, you're probably the slowest part of your company's AI strategy. Not because you're slow, but because the rest of the org can stand up new AI features in days, while the security review cycle is still measured in weeks. Product is shipping…

May 12, 2026
Agentic Cloud Security Is Only as Smart as Its Runtime Context
Key Takeaways Agentic cloud security is everywhere. What's actually real? Every cloud security platform shipped AI agents this year, but the differentiator isn't the agents. It's the data architecture they reason on. Investigation agents, remediation agents, triage agents, copilots, analyst agents, workforce agents. Rest assured, most of these are real systems. But some are LLM…

May 11, 2026
Shai-Hulud: Here We Go Again – Dissecting a Supply Chain Worm Across the TanStack Ecosystem
Executive Summary A new wave of the Mini Shai-Hulud campaign compromised dozens of official @tanstack/* npm packages by abusing CI/CD publishing workflows and trusted npm release mechanisms. Unlike traditional dependency malware focused only on downstream execution, this operation behaves as a self-propagating supply chain worm designed to continuously spread across repositories, developer environments, and CI/CD…

May 11, 2026
Introducing the Upwind MCP Server: Realtime Context for Stronger Cloud Security
Security teams already have enough findings to sort through. Vulnerabilities, misconfigurations, and alerts pile up every day, but only a limited number create real risk in production. The harder problem is knowing which issues are exposed, active, and worth fixing first. The Upwind MCP Server connects MCP-compatible clients to selected Upwind context and capabilities, helping…

May 8, 2026
Dirty Frag: A Universal Linux Local Privilege Escalation via ESP and RxRPC (CVE-2026-43284 / CVE-2026-43500)
Executive Summary Dirty Frag is a new Linux kernel local privilege escalation that combines two kernel bugs - one in the IPsec subsystem and one in RxRPC, giving any unprivileged local user a root shell on every major distribution. The exploit is reliable and lasts until a reboot or cache fault Public PoC code has…

May 7, 2026
Prioritize Reachable Cloud Risk With Upwind Cloud Security Context
Cloud security teams are under pressure to move faster, but the volume of cloud risk keeps growing. Verizon’s 2025 DBIR found that vulnerability exploitation as an initial access vector increased 34% year over year, while IBM reported the global average cost of a data breach at $4.4 million. The issue is not that teams lack…