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Governing the Agentic SDLC Through Continuous Policy Enforcement

October 12, 2026 Carmit Hershman, JFrog Senior Software Architect, CTO Office Yuval Kainan, JFrog AI Architect, CTO Office

14 min read

The way software gets built has changed faster than the standards that govern it. AI agents now create pull requests, select dependencies, refactor codebases, interpret test failures, and execute infrastructure changes across the entire Software Development Life Cycle (SDLC). AI agents are autonomous team members, but unlike human engineers, they are ephemeral: their reasoning, decisions,…

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The Year the Vulnerability Backlog Changed Shape

The Year the Vulnerability Backlog Changed Shape

October 2, 2026 Paul Davis, Field CISO | 9 min read

As we enter the AI era, few among us have found themselves so entrenched in the throes of the shifting landscape as CISOs. With the threat landscape shifting, they are up against increasing rates of vulnerabilities and exploits alongside rapidly scaling demands for ever more secure environments. As CISOs, with our role as the protectors…
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The New Rules of Patching: When a Fix Becomes a Blueprint for Attackers

The New Rules of Patching: When a Fix Becomes a Blueprint for Attackers

September 28, 2026 Shachar Menashe, JFrog VP Security Research | 8 min read

TL;DR: Frontier AI has collapsed the vulnerability exploit window from weeks to mere hours. Attackers now use advanced AI models to reverse-engineer published fixes and generate working exploits faster than human security teams can deploy updates. In the AI era, publishing a patch creates a blueprint for attackers. Surviving this threat requires vendors to tier sensitive…
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ParaShells: Parallels Desktop Turns Appliance Install Into a Root Shell

ParaShells: Parallels Desktop Turns Appliance Install Into a Root Shell

September 15, 2026 Yuval Moravchick, JFrog Vulnerability Research Team Lead | 9 min read

Your Mac runs a vulnerable version of Parallels Desktop. A malicious package, compromised CI job, or other unprivileged process is already running on it. No admin access. No Parallels-signed client. One appliance-install request later, attacker-controlled code runs as root. While testing Desktop 26.4.0 (build 57513) on Apple silicon, we found that an unprivileged local user…
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Extending the Single Source of Truth to the Agentic Software Supply Chain

Extending the Single Source of Truth to the Agentic Software Supply Chain

September 2, 2026 The JFrog Team | 15 min read

Every developer on your team now runs multiple agents. None of them are waiting for human sign-off to act. That's exactly the gap we discussed and closed at swampUP 2026. JFrog unveiled new capabilities that extend the JFrog Platform as not only the Single Source of Truth for OSS and heritage software, but now the…
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Live From the Show Floor: swampUP 2026

Live From the Show Floor: swampUP 2026

September 2, 2026 The JFrog Team | 31 min read

Live updates from this event have concluded. swampUP 2026 is officially LIVE in New York City! Three days, one stage, one mission: rebuild trust for a software supply chain that increasingly ships itself. Keynote updates land here as they happen, September 1–3, 2026. Let’s go! Conference Day 2, September 3rd [11:00 a.m.] The Great Model…
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DevGovOps: How the AI Era Dictates That Governance Lives Inside the Pipeline

DevGovOps: How the AI Era Dictates That Governance Lives Inside the Pipeline

September 2, 2026 Roy Goldenberg, JFrog Product Marketing Manager, AppTrust | 6 min read

For decades, proving compliance meant having a person behind every decision - an engineer who remembered the approval, an auditor who could call someone and get an answer. That model worked because humans wrote, reviewed, and shipped every line of code. When agents do it instead, that dependency breaks. And so does your ability to…
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The Evolution of JFrog AI Catalog: Your AI Control Plane for Agentic Development

The Evolution of JFrog AI Catalog: Your AI Control Plane for Agentic Development

September 2, 2026 Guy Eshet, Senior Manager, Product Management | 9 min read

In a single morning, a coding agent can pull an open-source model, connect to an unvetted MCP server, and execute a code-optimizing skill from the web. In the rush toward agentic automation, these AI assets quietly bypass traditional security reviews, creating new attack vectors across the software supply chain. Closing this blind spot has been…
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