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Dependabot can propose version updates for agent dependencies. The change puts skills and instructions into an existing review workflow.
A GitHub Actions policy change puts privileged pull request workflows under scrutiny. Here is what maintainers can do before enforcement.
José Palanco · 
A finding should not wait in a list. PlexiFlow runs the path you already wrote: branch on severity, ask the named role, then start a fix or notify the team.
Josuanstya Lovdianchel · 
An internal DeepSeek evaluation separates exploit capability from operational restraint. Define scope, evidence and cleanup before autonomous testing.
José Palanco · 
Separate PHP runtime exposure from application findings, verify worker replacement and keep remediation evidence reviewable with Plexicus.
José Palanco · 
EMBRACE is a useful reminder that an embedded browser does not automatically keep the security boundaries of a standalone browser.
José Palanco · 
Turn AI security benchmark claims into a scoped evaluation with reproducible findings, reviewed patches and deployment retests.
José Palanco · 
A source review of three high-severity n8n alerts shows why scan provenance and credential context matter before declaring a leak.
José Palanco · 
Review browser-loaded scripts, test integrity controls and retain deployment evidence after the Convertr analytics-script incident.
José Palanco · 
Map embedded Wasmtime dependencies to shipped artifacts, choose the correct advisory fix and verify rebuilt deployments with a Plexicus evidence workflow.
José Palanco · 
A practical evidence workflow for testing authorization boundaries, connecting code context to impact, and reviewing remediation with Plexicus.
José Palanco · 
Quantum readiness starts with knowing where cryptography lives. Singapore’s 2026 milestones make discovery urgent, while SBOMs alone cannot show every algorithm, runtime setting or supplier dependency that may need a migration plan.
José Palanco · 
Cloudflare’s open-source coding-agent skill uses coverage-led hunting, independent validation, and structured evidence. Here is what the workflow can—and cannot—establish.
José Palanco · 
AI can help analysts navigate compiled software, but a decompiler output is not a vulnerability report. See how REA changes analysis, why reverse- engineering agents need protection, and how teams can validate findings.
José Palanco · 
Three systems asserted a condition and none of them checked whether it still held. A registry reported a package was attested. An evaluation harness reported a model was offline. An assistant reported a package would work.
José Palanco · 
An editorial guide to security MCP integrations for AI-assisted development: repository findings, scanning, web testing, supply chain analysis, and cloud security.
José Palanco · 
Open-source AI pentesting has split into distinct categories: autonomous application pentesters, multi-agent orchestration platforms, verification-first agents, and MCP tool layers. We reviewed 10 actively developed projects and explained what each one is genuinely good at.
Josuanstya Lovdianchel · 
How specialized attack agents share context, challenge hypotheses, and independently verify attack paths inside the Plexicus Proof-Driven AppSec workflow.
José Palanco · 
A complete guide to application security in 2026, from secure design and software supply chains to testing, exploit validation, remediation, and Proof-Driven AppSec.
José Palanco · 
A fruit-fly connectome offers a vivid test of a security principle: a demo is not proof until controls show what the advertised system contributes.
José Palanco · 
DevDay 2026 connected persistent agents, cloud coding, plugins, events, and shared work. Here is what shipped, what is still coming, and where AppSec boundaries lie.
José Palanco · 
Opus 5.5 motion-graphics demos reveal an agentic loop: plan, write code, run it, inspect, revise. Claude cybersecurity now depends on verification keeping pace.
José Palanco · 
Jev AI returns typed decisions instead of prose. That could change where semantic judgment fits in security workflows, if teams keep policy, fallbacks, verification, and human review.
José Palanco · 
MAESTRO is the Cloud Security Alliance's 7-layer framework for agentic AI threat modeling, applied by the OWASP GenAI Security Project. This guide turns each layer into a pentest checklist.
José Palanco · 
AI penetration testing in 2026 splits into three lanes: autonomous pentest agents, BAS platforms and AI-assisted PTaaS. We compared 15 tools on signed-scope evidence, replay and pricing.
José Palanco · 
Proof-Driven AppSec is a vulnerability remediation process that closes the loop from alert to merged fix once, with replayable evidence at every step: detect, verify, fix, audit.
José Palanco · 
AI can remove repetitive AppSec work without removing accountability. Learn how to decide what to automate, what to augment, and when a security decision should be escalated to a person.
José Palanco · 
A four-step automated vulnerability remediation playbook that turns a verified finding into a tested, reviewer-ready PR in under 60 seconds, with the evidence attached.
José Palanco · 
78% of 14,213 AI-assisted pull requests we scanned contained a vulnerability that survived human review. Here is how we measured it, the flaw classes, and what fixes it.
Josuanstya Lovdianchel · 
SAST false positives bury real bugs, and an LLM wrapper does not fix that. Deep Code Analysis uses reachability analysis to prove which findings are real, reachable, and worth fixing.
Josuanstya Lovdianchel · 
AI 编码工具正让开发者变得更快——但更快的开发也需要更好的可见性、更强的审查工作流以及更可靠的修复措施。这是一份面向采用 Codex、Claude Code、Cursor、Windsurf 及其他 AI 编码代理的团队的实用治理指南。
Josuanstya Lovdianchel · 
仅靠检测已无法跟上AI驱动的开发速度。AI原生修复是下一层防线——帮助团队在SDLC的每个阶段修复、验证并追踪AI生成代码中的漏洞。
Josuanstya Lovdianchel · 
AI 编码工具正在编写近一半的新代码。其中 45% 的代码在发布时至少包含一个漏洞。Vibe Coding 安全是一种保护由 AI 创建的软件安全的实践——在风险到达生产环境前进行检测、优先级排序和修复。
Josuanstya Lovdianchel · 
"Plexicus 社区是一个永久免费应用安全平台，面向开发者。提供完整的 SAST、SCA、DAST、密钥和 IaC 扫描，以及 AI 驱动的漏洞修复，无需信用卡。"
Khul Anwar · 
安全工具因其嘈杂的障碍而声名狼藉。当开发人员推送代码，而CI/CD管道因附带500页PDF报告而失败时，他们的自然反应不是修复问题，而是忽视它们或强制合并代码。
Khul Anwar · 
发现漏洞不再是主要挑战。现在，最大的问题是开发人员没有时间解决的大量安全债务。
Khul Anwar · 
在本指南中，您将学习如何超越手动修补，构建一个使用AI驱动自动化来自动检测、优先处理和修复SQLi漏洞的工作流程。
Khul Anwar · 
使用AI驱动安全的组织将漏洞生命周期缩短了80天，每次事件节省了190万美元，减少了34%，这凸显了AI在防御中的重要性
Khul Anwar · 
运行 `trivy image` 不是 DevSecOps——而是噪声生成。真正的安全工程是关于信号与噪声的比率。本指南提供了17种行业标准工具的生产级配置，以在不影响业务的情况下阻止漏洞，分为三个阶段：预提交、CI 守门员和运行时扫描。
José Palanco · 
DevSecOps已成为交付现代软件的标准。团队不再在开发完成后将代码移交给安全部门。到2026年，安全已成为流水线每个步骤中共享且自动化的组成部分。在本指南中，我们汇总了2026年值得尝试的顶级DevSecOps工具，涵盖每个工具的功能、优缺点以及它所替代的具体传统解决方案。
Khul Anwar · 
Sysdig因其强大的内核事件覆盖能力而受到认可。它建立在Falco的开源基础之上，是需要深入了解Linux内核或Kubernetes pods的SOC团队的最爱。
Khul Anwar · 
SentinelOne Singularity Cloud是自主EDR/CWPP领域的先驱之一。其AI驱动的代理提供快速、离线保护，帮助许多组织避免勒索软件攻击。
Khul Anwar · 
在2026年，主要挑战不仅仅是发现漏洞。真正的问题是攻击者利用漏洞的速度有多快。安全团队曾经有几周的时间来修补漏洞，但现在这段时间几乎消失了。
Khul Anwar · 
合气道安全因减少不必要的警报而受到欢迎。通过专注于可达性，它帮助开发人员避免了旧扫描仪产生的“漏洞垃圾邮件”。
Khul Anwar · 
到2026年，云安全的优先级已经改变。可见性不再是主要卖点，因为Wiz.io在2020年代初期已经设定了标准。现在，主要挑战是跟上变化的步伐。
Khul Anwar · 
想象一下，在一家快速发展的科技公司的安全运营中心，一个繁忙的星期五下午。团队已经深陷警报之中，接连收到通知，屏幕上不断闪烁着需要立即关注的“关键”问题。他们在各种提供商中拥有超过1,000个云账户，每个账户都在为警报的浪潮贡献力量。然而，许多这些警报甚至与暴露在互联网的资源无关，这让团队因规模和明显的紧迫性而感到沮丧和不知所措。云安全是复杂的。
Khul Anwar · 
安装安全工具是简单的部分。困难的部分从“第二天”开始，当该工具报告5000个新漏洞时。本指南重点介绍漏洞管理：如何过滤重复警报、管理误报以及跟踪实际衡量成功的指标。了解如何从“发现漏洞”转变为“修复风险”，而不让您的团队不堪重负。
José Palanco · 
开发者体验（DevEx）在选择安全工具时至关重要。安全应该让开发者的工作更轻松，而不是更困难。如果开发者必须离开他们的编码环境或使用其他仪表板来发现问题，这会减慢他们的速度，并降低他们使用这些工具的可能性。
Khul Anwar · 
这种循序渐进的方法帮助您顺利部署安全工具，并保持构建的运行。可以将其视为一系列小步骤，保障您的交付，确保更可靠和安全的开发过程。
Khul Anwar · 
SAST 和 DAST 是用于保护应用程序免受攻击的安全测试方法。为了了解每种方法如何帮助应用程序安全性，我们来看看它们的区别以及它们在工作流程中的位置
José Palanco · 
比较领先的ASPM工具，如Plexicus、Cycode、Wiz和Apiiro，以自动化应用安全测试和漏洞管理
José Palanco · 
现代应用程序在很大程度上依赖于第三方和开源库。这加快了开发速度，但也增加了攻击风险。每个依赖项都可能引入未修补的安全漏洞、风险许可证或过时的软件包等问题。软件组成分析（SCA）工具有助于解决这些问题。
José Palanco · 
Web 应用程序安全对于保护您的应用免受针对敏感数据和破坏操作的网络攻击至关重要。本指南涵盖了 Web 应用程序安全的重要性、常见漏洞、最佳实践和测试方法，帮助您保护应用程序、确保合规性并维护用户信任
José Palanco · 
安全漏洞的噩梦已成为许多欧洲公司的现实。了解15个变革性的DevSecOps趋势，助您远离漏洞名单。
José Palanco · 
Plexicus 从 Startup Wise Guys 2025 春季加速器项目毕业。
José Palanco · 
如果您今天正在构建或运行软件，您可能正在同时处理微服务、无服务器功能、容器、第三方包以及大量的合规性检查项。每个活动部件都会产生自己的发现、仪表板和愤怒的红色警报。很快，风险可见性就像在凌晨2点的旧金山雾中驾驶——您知道危险就在外面，但您看不太清楚。
José Palanco · 
Plexicus获得微软15万美元投资以扩展其云基础设施。此资金将提升系统性能、可扩展性和可靠性，使Plexicus能够为更多企业提供AI驱动的企业解决方案。
José Palanco · 
了解Plexicus的新BlackDuck集成如何通过实时漏洞检测、自动化风险优先级排序和无缝的DevSecOps工作流程增强开源安全性。
José Palanco · 
Plexicus 推出 AI 驱动的安全平台，实现实时漏洞修复。自主代理即时检测、优先处理并修复威胁。
José Palanco · 
Plexicus和Céfiros之间的新合作将提升拉美和伊比利亚19个国家的应用安全性。此次网络安全合作为寻求主动防御网络威胁的组织带来了先进的应用安全态势管理（ASPM）解决方案。
José Palanco · 
像DORA、ISO 27001和NIST SP 800-53这样的框架对于强大的应用程序安全态势管理至关重要，帮助组织满足标准、降低风险并保持合规性。
José Palanco · Explore content by topic and discover articles that interest you
Plexicus is Proof-Driven AppSec: validated findings, contextual understanding, and reviewed remediation — anchored in evidence, scoped with you.
