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 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.
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.
Narzędzia bezpieczeństwa mają reputację hałaśliwych barier. Kiedy deweloper przesyła kod, a pipeline CI/CD kończy się niepowodzeniem z dołączonym 500-stronicowym raportem PDF, ich naturalną reakcją nie jest naprawa problemów. Jest nią ich ignorowanie lub wymuszone scalanie kodu.
W tym przewodniku dowiesz się, jak wyjść poza ręczne łatanie i zbudować przepływ pracy, który automatycznie wykrywa, priorytetyzuje i naprawia podatności SQLi przy użyciu automatyzacji opartej na AI.
Jeśli dziś tworzysz lub prowadzisz oprogramowanie, prawdopodobnie żonglujesz mikroserwisami, funkcjami bezserwerowymi, kontenerami, pakietami zewnętrznymi i lawiną pól wyboru zgodności. Każda ruchoma część generuje własne ustalenia, pulpity i gniewne czerwone alerty. Wkrótce widoczność ryzyka przypomina jazdę we mgle w San Francisco o 2 nad ranem — wiesz, że niebezpieczeństwo jest tam, ale nie możesz go do końca dostrzec.
Plexicus is Proof-Driven AppSec: validated findings, contextual understanding, and reviewed remediation — anchored in evidence, scoped with you.