Security Engineering · R&D
Security built for real threats and real regulation
Products, services, training and research — from code scanning to adversarial evaluation of agentic systems.
What we do
Four pillars, one organization
From shipped products to lab R&D — one organization, four pillars.
Coming soonProducts
Wardinel
Scan and audit of databases and code for vibe-coders (Supabase, Lovable). A few clicks, full scan and report.
Learn more- In development
Services
DAST/SAST scanner
Advanced scanning built on open-source engines (semgrep, nuclei) with operator-prepared reports.
Learn more - In development
Training
AI agent permissions
Workshops on designing and controlling permissions for AI agents in production environments.
Learn more - R&D lab
Research
LLM security
Advanced research into the security of large language models and agentic systems.
Learn more
Approach
Built by practitioners, not theorists
NextLayer Security grows out of experience in the financial sector and critical infrastructure. We treat security as an engineering process rooted in regulatory reality — from design, through deployment, to proof of compliance.
Regulated-sector practice
Experience with the demands of the financial sector and critical infrastructure.
Regulation aware
We design for compliance — security that survives an audit.
Engineering, not promises
Concrete findings and repeatable processes instead of marketing assurances.
Research (R&D)
An LLM security lab
Four active research threads on the security of agentic systems and large language models.
Agentic application scanning
Application scanning with Anthropic and OpenAI models plus local LLMs (currently Qwen Coder).
RBAC-based decision system
RBAC permission control for agentic developer systems.
LLM-driven log analysis
Analysis and logging of agentic systems using cloud and local models.
Adversarial evaluation
Applications of adversarial evaluation in cybersecurity.
Contact
Let's talk
Have a question about security, compliance or our solutions? Write to us — we'll get back to you.
