Building practical security and software products from engineering fundamentals to customer ready releases.
Note
Practical software with a clear purpose. HR-Presents builds tools for defensive investigation, secure development and everyday engineering workflows.
HR-Presents is an independent technology collaboration founded in 2026 by Haziq Afzal and Ruveeha Ashfaq.
We build practical software across defensive cybersecurity, secure development, automation, cloud and DevOps engineering, data analysis and AI assisted workflows.
Our work takes products through implementation, testing, security review, documentation, packaging and release verification. We pay attention to how people install the software, understand its findings and use it in their existing workflows.
We also develop custom solutions around customer requirements, with the scope, features and delivery agreed before implementation.
Free, open source defensive log investigation in your terminal.
AegisLog helps users investigate supported log files and accessible Windows Event Logs, Linux journald and Docker telemetry. It analyzes sources locally and handles them as read only.
Who it helps
System administrators reviewing service failures, developers investigating application errors, security analysts examining supported authentication and security signals, and students learning evidence based log investigation.
What it provides
File analysis · folder investigations · guided computer checks · single source and multiple source live monitoring · deterministic findings · incident grouping · investigation timelines · entity context · evidence supported MITRE ATT&CK mappings
Users can review findings and recommended next steps, search saved cases, compare activity baselines and generate HTML investigation summaries and complete retained evidence reports. Aggregate sharing summaries provide a separate export with identifying details and raw evidence omitted.
Latest release
Version 2.1.17 adds JSON limits enforced during reading, bounded custom rule packs and restricted custom regex syntax. It preserves the approved terminal navigation and report appearance.
Availability
Free · open source · MIT licensed · standalone Windows executable · Windows ZIP · Python packages
Windows executable users do not need Python. Python users can install through pipx and run aegislog start in their existing terminal.
Important
Local · Read only · Deterministic AegisLog supports investigation without changing source logs or performing automatic remediation. Its supported product surface has no browser dashboard or remote AI dependency.
Note
Findings are investigation leads, not proof of compromise. Rarity scores describe the retained sample, not attack probability. Source permissions, supported formats and evidence limits affect coverage.
Explore AegisLog · Download v2.1.17 · User Guide
Python code review with structured findings and professional reports.
Sentrix brings code quality, security analysis, complexity metrics, formatting checks and Python syntax validation into a local browser workspace.
Who it helps
Python developers reviewing their work, reviewers investigating code issues, and development teams seeking clearer findings and reports.
What it provides
Pylint · Bandit · Radon · Black · Python syntax validation · secure project upload · dashboards · project history · reviews · structured findings · metrics · downloadable reports
Its evidence aware guidance can reference OWASP, CWE, MITRE, NIST, CIS, PCI DSS, ISO/IEC 27001/27002, SOC 2, GDPR and HIPAA where applicable.
Released product
Version 1.0.0 FINAL is the stable commercial release, distributed as a portable Windows package. The original source remains private under a proprietary commercial license.
Availability
Commercial product · portable Windows distribution · local browser workspace · private source
Note
Standards mappings provide engineering context. They do not establish certification, legal compliance or the absence of security issues.
Contact Haziq · Contact Ruveeha
Monitoring, log analysis, incident investigation, detection workflows and security telemetry.
Static analysis, code quality, secure coding guidance and standards aware engineering.
Python automation, CI/CD, containers, infrastructure tooling and release engineering.
AWS, Azure, Linux, networking, cloud security and architecture.
Machine learning, deep learning, data analysis, NLP, computer vision and AI assisted tooling.
SCADA and ICS concepts, industrial security and study informed by NIST and ISO guidance.
Tip
Custom solutions on request We can build software, defensive security tools, automation, cloud and DevOps solutions, and AI or data workflows tailored to customer requirements. Share your idea or existing workflow with our founders to discuss feasibility, scope, features and delivery.
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Co Founder & CTO Leads technical strategy, software engineering, cybersecurity development and the technical direction of HR-Presents products. Focus Cybersecurity · Python · Linux · cloud · DevOps · automation · AI/ML · product engineering |
Co Founder & CEO Leads company direction, operations and product delivery, with a focus on quality, customer experience and the continued growth of HR-Presents. Focus Cybersecurity · cloud security · DevOps · Python · AI/ML · security architecture · critical infrastructure security |
Additional tools and engineering exposure
Our broader engineering exposure includes Bash, Selenium, Vagrant, Puppet, Chef, Consul, Gradle, Nagios, New Relic, Sensu, CircleCI, Jenkins, Maven, Splunk, TeamCity, scikit-learn, TensorFlow, PyTorch, Bandit, Pylint, Radon and Black.
Tool familiarity varies by coursework, labs and product implementation. This list does not imply that every technology is used in each released product.
We develop software with attention to repeatable builds, readable workflows and verifiable releases.
Depending on the product, our process includes automated tests, linting, security checks, dependency auditing, package validation, executable builds, smoke tests, checksums and release documentation.
For AegisLog v2.1.17, the release pipeline validates version metadata, tests Python packages and the Windows executable, and checks installation, command navigation and report output.
Publication verifies all seven release assets against reviewed digests and matching checksum files, including the bundled executable. Protected main branch updates require review and passing checks.
Tip
Download AegisLog from its official release page and compare the checksum for the exact asset you downloaded. SHA-256 checksums verify file bytes; they do not establish publisher identity. The Windows executable remains unsigned.
Note
Automated tests and synthetic detection evaluations establish regression consistency. They do not establish independent real world detection effectiveness or compatibility with every physical PC and terminal.
Our engineering work is supported by hands on coursework, practical labs and continued technical study.
Important
We describe coursework as training and study. We only describe a vendor certification as awarded when that certification has actually been obtained.
View our study and practical exposure
Linux and RHEL · cybersecurity fundamentals · SIEM and SOC · Elasticsearch security · threat hunting · vulnerability assessment · incident response · web and network pentesting · ethical hacking · CIS Controls · WSTG
SCADA and ICS security · prevention and detection · industrial security concepts · ISO 27019 · NIST SP 800-82 aligned study
ISO 27001, 27017 and 27018 coursework · PCI DSS oriented training · CISSP aligned study · cloud security and architecture domains aligned with CCSP, CCSK and ISSAP curricula
AWS solution architecture · VPC · IAM · network security · EC2 · EBS · Auto Scaling · S3 · RDS · Lambda · DynamoDB · Route 53 · CloudFormation · CloudTrail · hybrid connectivity · Azure administration
Docker · Bash · Python automation · Flask · Selenium · Git and GitHub · CI/CD · Terraform · Ansible · Jenkins · Maven · observability tooling · Kubernetes · AWS cloud labs
Python · data handling · visualization · statistics · probability · scikit-learn · time series · data engineering · big data · data ethics · deployment workflows
Machine learning · deep learning · TensorFlow · PyTorch · mathematical ML foundations · model development and deployment · applied NLP · computer vision
Ongoing advanced learning
Current study continues through practical work in DevSecOps, DevSysOps, Kubernetes administration and security, cloud security, AIOps, NLP, ML deployment, infrastructure automation and security architecture.
Our aim is to turn coursework into usable engineering ability through projects, labs, testing, documentation and releases. Course completion alone is not proof of expertise.
Defensive by design
Security tools should support investigation without overstating certainty.
Local processing where practical
Sensitive information should remain under the user's control whenever possible.
Security aware development
Testing, static analysis, dependency checks and careful data handling are part of development.
Release discipline
Packaging, documentation, versioning and release verification matter alongside feature development.
Readable experiences
Technical tools should explain their findings, supporting evidence and limitations.
Standards with context
Frameworks guide engineering decisions without implying certification.
Continuous learning
Technical study is applied through builds, experiments, reviews and improvements.