See Your Assets. Understand Your Traffic. Investigate Your Logs.
AIOTICS Security Labs develops practical, AI-assisted cybersecurity tools and analyst-led services that help institutions, laboratories and small organisations improve visibility across their connected environments.
Three Tools. One Cybersecurity Visibility Objective.
The current AIOTICS portfolio addresses three connected layers of cybersecurity: reachable assets, observed network behaviour and host-level security events.
SafeHome-AI discovers reachable devices, identifies open ports and visible services, and presents understandable cyber hygiene observations and recommendations.
Current status: Research prototype available through GitHub.
View SafeHome-AI on GitHub →
Current capabilities include asset mapping, unknown-IP detection, baseline comparison, Modbus/TCP inspection, Modbus write extraction, risk finding generation and automated Excel and Word reporting.
Current status: MVP Version 1.1 under active development and controlled testing.
Discuss a sample assessment →
The tool supports failed-login analysis, brute-force pattern identification, suspicious source profiling, privileged-account targeting and severity-based incident summaries.
Current status: Research prototype available through GitHub.
View Log Analyzer on GitHub →
Practical Services Supported by AIOTICS Tools
AIOTICS services begin with clearly defined scope, written authorisation and evidence-based analysis. Clients may choose an individual service based on their immediate requirement.
Modular cybersecurity visibility and analysis services for institutions, laboratories, connected environments and smaller organisations.
Typical outputs include an asset communication map, protocol summary, cyber hygiene findings and prioritised recommendations.
Findings are limited to traffic observed during the defined capture period.
Typical outputs include a reachable-asset inventory, service exposure summary, cyber hygiene observations and recommendations for further validation.
An open port is treated as an observed exposure and not automatically classified as a confirmed vulnerability.
Typical outputs include suspicious-source analysis, event timelines, severity summaries and recommended follow-up actions.
Broader operating-system and application-log support remains part of the future roadmap.
Each engagement is limited to an agreed technical problem, available evidence and achievable project scope.
Areas may include network visibility, protocol analysis, segmentation observations, safe experiment design and cybersecurity learning workflows.
Work is undertaken only when aligned with available expertise, ethical requirements and an evidence-based project objective.
Practical cybersecurity programmes for students, faculty, professionals and institutional teams, supported by controlled demonstrations and research-led examples.
Applied Security Research Behind AIOTICS
AIOTICS Security Labs is grounded in cybersecurity research, controlled IoT and SCADA testbeds, network traffic analysis, explainable machine learning and practical security automation.
About AIOTICS Security Labs
AIOTICS Security Labs is a research-led cybersecurity initiative focused on practical visibility and assessment for Network, IoT and OT environments. It combines network traffic analysis, connected-asset discovery, industrial protocol inspection, security-log review, Python automation and explainable reporting.
Contact AIOTICS Security Labs
Contact AIOTICS regarding a passive cyber hygiene assessment, authorised asset and exposure review, Linux authentication-log analysis, institutional training or research collaboration.
When writing, please include your institution or organisation, the environment or data available, the required service and the expected outcome.