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.
José Ramón Palanco is the CEO/CTO of Plexicus, a pioneering company in ASPM (Application Security Posture Management) launched in 2024, offering AI-powered remediation capabilities. Previously, he founded Dinoflux in 2014, a Threat Intelligence startup that was acquired by Telefonica, and has been working with 11paths since 2018. His experience includes roles at Ericsson`s R&D department and Optenet (Allot). He holds a Telecommunications Engineering degree from the University of Alcala de Henares and a Master`s in IT Governance from the University of Deusto. As a recognized cybersecurity expert, he has been a speaker at various prestigious conferences including OWASP, ROOTEDCON, ROOTCON, MALCON, and FAQin. His contributions to the cybersecurity field include multiple CVE publications and the development of various open source tools such as nmap-scada, ProtocolDetector, escan, pma, EKanalyzer, SCADA IDS, and more.
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.
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.
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.
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.
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.
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.
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.
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.
At køre `trivy image` er ikke DevSecOps—det er støjgenerering. Ægte sikkerhedsteknik handler om signal-til-støj-forhold. Denne guide giver produktionsklare konfigurationer for 17 industristandardværktøjer til at stoppe sårbarheder uden at stoppe forretningen, organiseret i tre faser: før-commit, CI gatekeepers og runtime scanning.
Installation af et sikkerhedsværktøj er den nemme del. Den svære del begynder på 'Dag 2', når værktøjet rapporterer 5.000 nye sårbarheder. Denne guide fokuserer på sårbarhedsstyring: hvordan man filtrerer duplikerede advarsler, håndterer falske positiver og sporer de metrikker, der faktisk måler succes. Lær hvordan du går fra 'at finde fejl' til 'at løse risici' uden at overvælde dit team.
SAST og DAST er sikkerhedstestmetoder, der bruges til at beskytte applikationer mod angreb. For at se, hvordan hver enkelt hjælper med applikationssikkerhed, lad os se på deres forskelle og hvor de passer ind i din arbejdsgang
Sammenlign førende ASPM-værktøjer som Plexicus, Cycode, Wiz og Apiiro for at automatisere AppSec-testning og sårbarhedsstyring
Opdag de bedste API-sikkerhedsværktøjer til at opdage sårbarheder, stoppe API-angreb og beskytte dine applikationer med avanceret scanning og test.
Moderne applikationer afhænger meget af tredjeparts- og open-source biblioteker. Dette fremskynder udviklingen, men øger også risikoen for angreb. Hver afhængighed kan introducere problemer som uopdaterede sikkerhedsfejl, risikable licenser eller forældede pakker. Software Composition Analysis (SCA) værktøjer hjælper med at løse disse problemer.
Der er dusinvis af SAST-værktøjer på markedet, der spænder fra open-source til enterprise-niveau. Udfordringen er: Hvilket SAST-værktøj er bedst for dit team?
Webapplikationssikkerhed er afgørende for at beskytte dine apps mod cyberangreb, der målretter følsomme data og forstyrrer driften. Denne guide dækker vigtigheden af webappsikkerhed, almindelige sårbarheder, bedste praksis og testmetoder, der hjælper dig med at sikre din applikation, sikre overholdelse og opretholde brugertillid
Et mareridtsagtigt sikkerhedsbrud er blevet en realitet for mange europæiske virksomheder. Lær de 15 transformative DevSecOps-trends, du skal kende for at undgå at komme på brudlisten.
Plexicus dimitterer fra Startup Wise Guys Spring Batch 2025 acceleratorprogrammet.
Hvis du bygger eller kører software i dag, jonglerer du sandsynligvis med mikrotjenester, serverløse funktioner, containere, tredjepartspakker og en lavine af overholdelseschecklister. Hver bevægelig del skaber sine egne fund, dashboards og vrede røde advarsler. Før længe føles risikosynlighed som at køre i San Francisco-tåge kl. 2 om natten - du ved, at der er fare derude, men du kan ikke helt se den.
Plexicus har sikret en investering på $150.000 fra Microsoft for at udvide sin cloud-infrastruktur. Denne finansiering vil forbedre systemets ydeevne, skalerbarhed og pålidelighed, hvilket gør det muligt for Plexicus at støtte flere virksomheder med AI-drevne virksomhedsløsninger.
Opdag hvordan Plexicus' nye BlackDuck-integration forbedrer open-source sikkerhed med realtids sårbarhedsdetektion, automatiseret risikoprioritering og problemfri DevSecOps-arbejdsgange.
Plexicus lancerer AI-drevet sikkerhedsplatform til realtidsafhjælpning af sårbarheder. Autonome agenter opdager, prioriterer og løser trusler øjeblikkeligt.
Et nyt samarbejde mellem Plexicus og Céfiros vil forbedre applikationssikkerheden i 19 lande i Latam og Iberia. Dette cybersikkerhedssamarbejde bringer avancerede Application Security Posture Management (ASPM) løsninger til organisationer, der ønsker at forsvare sig proaktivt mod cybertrusler.
Frameworks som DORA, ISO 27001 og NIST SP 800-53 er essentielle for robust Application Security Posture Management, der hjælper organisationer med at opfylde standarder, reducere risici og opretholde lovgivningsmæssig overholdelse.
Plexicus is Proof-Driven AppSec: validated findings, contextual understanding, and reviewed remediation — anchored in evidence, scoped with you.