Long-form articles on Proof-Driven AppSec: fundamentals, compliance, deep dives, and threat research. The first ten are being written now.
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A free, self-paced course on running Proof-Driven AppSec with Plexicus, from the first repository scan to evidence your auditors accept. Ten modules, one exam, a credential anyone can verify.
Start the courseWhy validated evidence, not alert volume, should decide what your team fixes, and how AI Swarm Pentest, Deep Code Analysis and Remediation fit together. A one-page primer that doesn't require a vendor demo.
What changes when attack paths are validated by coordinated agents inside an agreed scope, what the report looks like, and which decisions still belong to a human reviewer.
NIS2 Directive Article 21 imposes specific software-supply-chain security requirements on essential and important entities across the EU. What it actually says, who it applies to, and what evidence you need to produce.
Why pattern-matching SAST tools surface noise and miss exploits, and what deep semantic code analysis does differently — unifying syntax, control flow, and data dependence into a queryable understanding of the codebase. The difference between "this looks suspicious" and "this is exploitable".
Cursor, Copilot, Claude Code, Windsurf, Devin, Replit — the AI assistants your team uses ship vulnerable code by default. A practical guide to keeping productivity high while the security posture holds.
Digital Operational Resilience Act in financial services. What goes in the Article 28 register of third-party ICT providers, how Plexicus produces the evidence, and what an audit actually looks at.
The difference between a SAST finding (theoretical) and an AI Swarm Pentest finding (a working PoC running against your sandbox). Why your board will only fund the fixes for the second kind.
The EU's Cyber Resilience Act mandates secure-by-design and vulnerability handling for nearly all software sold in the EU after 2027. What "secure by design" means in audit terms, and what changes about your SBOM workflow.
LLMs hallucinate package names. Attackers publish real packages with those names. The result is a supply-chain attack vector unique to the AI-coding era. How to detect, how to block, and what we found scanning 10,000 Lovable apps.
How a finding moves from a validated attack path to a reviewed change: what AI Swarm Pentest, Deep Code Analysis and Remediation each contribute, and where your team keeps the final decision.
The Academy publishes long-form education on Proof-Driven AppSec, EU compliance, deep code analysis, and threat research. We publish only when an article is worth your time.
Plexicus is Proof-Driven AppSec: validated findings, contextual understanding, and reviewed remediation — anchored in evidence, scoped with you.
