Tag:

appsec

7 articles

AI Coding Agents Are Now a Supply Chain Attack Vector
Cybersecurity

AI Coding Agents Are Now a Supply Chain Attack Vector

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 José Palanco ·
10 Best Open-Source AI Pentesting Tools in 2026, Ranked & Compared
Review

10 Best Open-Source AI Pentesting Tools in 2026, Ranked & Compared

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 Josuanstya Lovdianchel ·
AI-nativ åtgärdshantering för Vibe Coding-säkerhet
Learn

AI-nativ åtgärdshantering för Vibe Coding-säkerhet

Enbart detektion kan inte hålla jämna steg med AI-snabb utveckling. AI-nativ åtgärdshantering är nästa lager – som hjälper team att åtgärda, validera och spåra sårbarheter i AI-genererad kod i varje steg av SDLC.

Josuanstya Lovdianchel Josuanstya Lovdianchel ·
Vibe Coding-säkerhet: Skydda AI-genererad kod innan den levereras
Learn

Vibe Coding-säkerhet: Skydda AI-genererad kod innan den levereras

AI-kodningsverktyg skriver nästan hälften av all ny kod. Och 45% av den koden levereras med minst en sårbarhet. Vibe coding-säkerhet är praxis att skydda programvara skapad av AI – upptäcka, prioritera och åtgärda risker innan de når produktion.

Josuanstya Lovdianchel Josuanstya Lovdianchel ·
Ready to validate what matters?

Ready to validate what matters?

Plexicus is Proof-Driven AppSec: validated findings, contextual understanding, and reviewed remediation — anchored in evidence, scoped with you.

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SAMPLE HANDOVER · ILLUSTRATIVE

Sample evidence handover

A trimmed view of what your team receives at the end of an AI Swarm Pentest engagement. Real engagements include full technical evidence, executive narrative, and a remediation plan.

VALIDATED FINDING Evidence attached

Server-Side Request Forgery in webhooks/receiver

demo-project/sample-app · src/webhooks/receiver.py:42

SeverityHigh CVSS 3.18.6 Priority79 Confirmedvia replay

Untrusted caller-supplied URLs reach an internal egress without an allowlist. Replayed in a sandbox against a fresh authorized target — the same control was validated to fail twice.

REVIEWER-READY REMEDIATION Merge-ready PR

Validate the target URL against an allowlist of permitted hostnames. Reject private/internal IP ranges. Enforce HTTPS only.

plexicus/remediation/webhooks-ssrf 3 changed · 0 new files
42resp = requests.get(target_url)
42+if not is_allowed_host(target_url):
43+  raise WebhookRejected(target_url)
44+resp = requests.get(target_url, timeout=5)
Every engagement hands over:
  • Executive briefing
  • Validated findings list
  • Merge-ready PRs
  • Compliance mapping (NIS2 · DORA · CRA)
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