Execution-focused, not slide-only consulting.
CYBERSECURITY / AI SECURITY / ROMANIA
Modern security engineering for classical infrastructure and the new AI layer.
AI Revolution Security is a Romania-based security company focused on real implementation, technical validation, and helping organizations prepare for AI-related risk. We combine established cybersecurity services with newer capabilities for securing AI solutions and responsibly using AI-driven defensive workflows.
- Security solution implementation and hardening
- Pentesting and vulnerability assessment
- Technical and awareness training programs
- AI security assessment, guardrails, and readiness
Cyber + AI
Protection for infrastructure, applications, identity, cloud, and AI-based systems.
This page is built as a serious company-site foundation with clear positioning and room for commercial expansion.
Security for AI and AI for security.
Actionable reporting and realistic prioritization.
Platform ready for further expansion.
Services
End-to-end services for organizations that need credible protection, not generic messaging.
The platform includes the standard security services companies still need every day, plus an AI security layer for teams adopting copilots, models, and automated workflows.
Security Solutions Implementation
Design, integration, configuration, and hardening for security controls across infrastructure, endpoints, identity, and cloud.
Pentesting
Offensive validation of external, internal, web, and cloud attack surfaces, with clear remediation priorities.
Vulnerability Assessment
Systematic identification of exposures, risk-based classification, and support for remediation planning.
Security Trainings
Technical workshops, awareness programs for internal staff, and sessions for management or product owners.
AI Security Assessment
Risk assessments for LLM-based products, prompting flows, data exposure, and guardrail effectiveness.
Securing AI Solutions
Threat modeling, control design, and review of integrations between models, applications, data, and users.
AI-Driven Security Operations
Controlled use of AI tooling for triage, investigations, knowledge workflows, and SOC acceleration.
AI Governance and Readiness
Policies, processes, roles, and usage boundaries for organizations adopting AI at scale.
Case Studies
Illustrative case studies
These examples are fictional, but intentionally credible to show likely engagement types and outcomes.
Hardening and segmentation for a regional healthcare services provider
We reorganized access controls, critical configurations, and patching workflows to reduce attack surface and incident response time.
Illustrative outcome: reduced attack surface, clearer prioritization, and stronger coordination between IT and security.
Pentest and remediation roadmap for a B2B SaaS platform
We tested public-facing areas, authentication components, and sensitive business flows, then built a realistic remediation order.
Illustrative outcome: removal of critical weaknesses and a more mature secure development process.
AI security review for an internal knowledge-search assistant
We reviewed prompt injection, data exposure, and access control risk, then proposed guardrails and operational rules.
Illustrative outcome: safer rollout, clearer policies, and reduced operational risk for internal AI workflows.
Trainings
Training portfolio ready for launch
The training area covers technical teams, managers, and internal users adopting new tools.
Security Foundations for IT Teams
Administrators, IT engineers, technical support
Secure configuration, hardening, access control, and initial incident response.
Pentest Findings to Fix Faster
Developers, DevOps, product owners
How to read offensive testing reports and turn them into efficient remediation work.
AI Security for Technical Teams
Engineering, security, architecture
Prompt injection, data leakage, guardrails, threat modeling, and control design for AI systems.
Responsible AI Usage for Organizations
Management, HR, finance, business users
Usage policies, boundaries, risks, and practical examples for safer adoption.
News
Short news and insight articles
Publishing is managed from the internal admin area. The staging site starts with seeded sample articles.
Why AI security needs attention now, not later
Rapid AI adoption creates a new layer of operational risk, from data exposure to uncontrolled workflows.
Read articleWhat should happen after a pentest
The real value of a pentest begins after the report: prioritization, ownership, and remediation validation.
Read articleWhy internal training matters when introducing AI in the company
Written policies are not enough if users do not understand the limits and risks of AI tools.
Read article
Contact
Let’s talk about your organization’s security posture.
Send the initial context and the message will be stored in the database and immediately visible in the admin area.
The internal admin area allows viewing saved contact requests and exporting them as CSV.