Prototype direction
Calyvex SOC
A security operations workspace concept for ingesting events, elevating relevant signals and supporting analyst investigation.
- Event and alert visibility
- Severity and confidence context
- Incident timelines
AI-powered security engineering
Build stronger defenses.
Understand every signal.
Calyvex combines cybersecurity engineering, AI-assisted analysis and responsible validation to help organizations detect threats, improve security operations and make defensible decisions.
Human-in-the-loopAnalyst control stays visible
Evidence-drivenReasoning connected to signals
Built to evolveFrom prototypes to operations
Calyvex SecurityDetection workspace
Events analysed2,847Current session
Signals elevated120.42% of events
Critical findings2Review required
Signal activityLast 30 minutes
Unusual authentication sequenceMultiple failed attempts followed by a privileged login from a new source.
HighWhat we do
Security capability built around real operational needs.
Our focus extends beyond a single tool or research project. We connect detection, analysis, validation and continuous improvement.
01
Security Operations & SIEM Engineering
Improve log visibility, detection quality, dashboards and analyst workflows across SIEM and SOC environments.
Explore capability 02AI-Assisted Security Operations
Use language models and automation to summarize evidence, support triage and improve reporting while keeping analyst control visible.
Explore capability 03Defensive Security Analysis
Investigate suspicious behavior through threat hunting, malware analysis, network evidence and detection engineering.
Explore capability 04Security Validation & Purple Team Support
Test whether security controls detect realistic techniques through authorized, scoped and evidence-driven validation.
Explore capabilityHow Calyvex worksLearn about our approach →
From security telemetry to a decision you can defend.
Good security automation should reduce friction without hiding the evidence. Our approach keeps context, limitations and human approval visible.
01
Observe
Collect and structure relevant security signals.
02
Detect
Identify behavior that deserves attention.
03
Explain
Connect the finding to readable evidence and uncertainty.
04
Validate
Test whether controls work against realistic techniques.
05
Improve
Turn findings into measurable defensive changes.
AI-assisted incident analysisAnalyst review
87
Confidence score
Potential credential attack
A sequence of failed authentication attempts was followed by a successful privileged login from an unfamiliar source.
Primary evidence18 failed loginsSame account, 6 minutes
ContextNew source networkNo previous activity
Recommended next stepVerify account ownerReview endpoint activity
Automation statusApproval requiredNo action executed
Solutions
View all solutions →Designed as practical building blocks—not empty promises.
Research prototype
Calyvex AI
An explainable assistance layer for incident summaries, investigation questions and consistent security reporting.
- Evidence-linked summaries
- Investigation recommendations
- Uncertainty and limitation prompts
In development
Calyvex Detect
A detection engineering toolkit direction for reusable rules, validation cases, telemetry requirements and tuning notes.
- Detection rule catalogue
- Required telemetry mapping
- Validation test cases
Interactive product preview
Experience the investigation workflow.
Run a safe, simulated security scenario. Inspect events, review an elevated signal and see how an AI-assisted explanation can support—not replace—an analyst.
Threat queue3 active
Privileged login anomaly87 confidence · analyst review
Encoded PowerShell73 confidence · evidence ready
Unusual outbound volume58 confidence · monitoring
Calyvex Lab
Research, projects and prototypes that strengthen the foundation.
The Lab is where we test ideas, document limitations and build the technical evidence behind future services and products.
ProjectCompleted prototype
AI-Based Threat Detection & SOC Dashboard
An unsupervised anomaly-detection pipeline with LLM-assisted incident explanations and an interactive SOC dashboard.
PythonIsolation ForestStreamlit
ProjectActive development
Security Detection & Attack Simulation Lab
A controlled Windows and Linux environment for generating telemetry, testing detections and documenting analyst investigations.
SplunkWazuhSysmon
ResearchActive research
Alert Fatigue and Explainable Triage
Researching how excessive low-quality alerts, missing context and repetitive validation affect analysts—and how assistance can help.
View researchLatest insights
Browse all insights →Clear thinking for modern security operations.
Alert fatigue is not simply “too many alerts”
Why alert quality, false positives, missing context and repeated exposure matter more than raw volume alone.
Read insightWhy explainability matters in an AI-assisted SOC
An automated recommendation becomes useful only when an analyst can understand and verify its reasoning.
Read insightThe gap between SIEM detection and SOAR response
How context, playbook design and human judgement shape the space between an alert and an action.
Read insightBuild with Calyvex
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