Dependabot Can Update AI Agent Skills. Who Reviews What Changed?
Dependabot can propose version updates for agent dependencies. The change puts skills and instructions into an existing review workflow.
24 articles
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.
An internal DeepSeek evaluation separates exploit capability from operational restraint. Define scope, evidence and cleanup before autonomous testing.
Separate PHP runtime exposure from application findings, verify worker replacement and keep remediation evidence reviewable with Plexicus.
EMBRACE is a useful reminder that an embedded browser does not automatically keep the security boundaries of a standalone browser.
Turn AI security benchmark claims into a scoped evaluation with reproducible findings, reviewed patches and deployment retests.
A source review of three high-severity n8n alerts shows why scan provenance and credential context matter before declaring a leak.
Review browser-loaded scripts, test integrity controls and retain deployment evidence after the Convertr analytics-script incident.
Map embedded Wasmtime dependencies to shipped artifacts, choose the correct advisory fix and verify rebuilt deployments with a Plexicus evidence workflow.
A practical evidence workflow for testing authorization boundaries, connecting code context to impact, and reviewing remediation with Plexicus.
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.
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.
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.
An editorial guide to security MCP integrations for AI-assisted development: repository findings, scanning, web testing, supply chain analysis, and cloud security.
How specialized attack agents share context, challenge hypotheses, and independently verify attack paths inside the Plexicus Proof-Driven AppSec workflow.
A complete guide to application security in 2026, from secure design and software supply chains to testing, exploit validation, remediation, and Proof-Driven AppSec.
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.
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.
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.
Jev menghasilkan keputusan bertipe, bukan prosa. Pendekatan ini dapat menempatkan penilaian semantik di alur kerja keamanan, dengan kebijakan, fallback, verifikasi, dan tinjauan manusia.
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.
Alat keamanan memiliki reputasi sebagai penghalang yang berisik. Ketika seorang pengembang mendorong kode, dan pipeline CI/CD gagal dengan laporan PDF 500 halaman terlampir, reaksi alami mereka bukanlah memperbaiki masalah tersebut. Melainkan mengabaikannya atau memaksa penggabungan kode.
Dalam panduan ini, Anda akan belajar bagaimana melampaui penambalan manual dan membangun alur kerja yang secara otomatis mendeteksi, memprioritaskan, dan memperbaiki kerentanan SQLi menggunakan otomatisasi berbasis AI.
Jika Anda membangun atau menjalankan perangkat lunak saat ini, Anda mungkin sedang mengelola layanan mikro, fungsi tanpa server, kontainer, paket pihak ketiga, dan banyak kotak centang kepatuhan. Setiap bagian yang bergerak menghasilkan temuan, dasbor, dan peringatan merah yang marah. Tidak lama kemudian, visibilitas risiko terasa seperti mengemudi dalam kabut San Francisco pada pukul 2 pagi—Anda tahu ada bahaya di luar sana, tetapi Anda tidak bisa benar-benar melihatnya.
Plexicus is Proof-Driven AppSec: validated findings, contextual understanding, and reviewed remediation — anchored in evidence, scoped with you.