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.
Säkerhetsverktyg har ett rykte om sig att vara bullriga hinder. När en utvecklare pushar kod och CI/CD-pipelinen misslyckas med en 500-sidig PDF-rapport bifogad, är deras naturliga reaktion inte att åtgärda problemen. Det är att ignorera dem eller tvinga igenom koden.
I denna guide kommer du att lära dig hur du går bortom manuell patchning och bygger ett arbetsflöde som automatiskt upptäcker, prioriterar och åtgärdar SQLi-sårbarheter med hjälp av AI-driven automation.
Om du bygger eller driver mjukvara idag jonglerar du förmodligen med mikrotjänster, serverlösa funktioner, containrar, tredjepartspaket och en lavin av efterlevnadskontroller. Varje rörlig del genererar sina egna fynd, instrumentpaneler och ilskna röda varningar. Inom kort känns riskinsyn som att köra i San Franciscos dimma klockan 2 på morgonen - du vet att det finns faror där ute, men du kan inte riktigt se dem.
Plexicus is Proof-Driven AppSec: validated findings, contextual understanding, and reviewed remediation — anchored in evidence, scoped with you.