Aletheia
Your SOC, running at machine speed
Role-Based AI SOC Platform
Aletheia turns a security operations centre from an alert factory into a coordinated defense engine. Rather than bolting one generic assistant onto existing tools, it runs a crew of specialist agents mapped to real SOC roles, working over a shared context layer. Streaming telemetry, detection-as-code, and deep environmental context combine so triage, investigation, response, and hunting all run continuously — at machine speed, with humans holding the final say.
What it replaces.
The status quo
Alert volume grows faster than headcount, every single year.
With Aletheia
Agent-driven triage and correlation collapse raw alerts into a much smaller set of real incidents before a human sees the queue.
The status quo
Analysts spend their days on manual triage, enrichment, and ticket hygiene rather than actual investigation.
With Aletheia
The mechanical steps are handled automatically, with evidence already correlated and the case drafted when it reaches a person.
The status quo
Detection content is brittle, hard to maintain, and slow to adapt to new attacker behavior.
With Aletheia
Detections are written and versioned like software, tested before promotion, and continuously refined with agent assistance.
The status quo
Response playbooks are static, so every significant incident still turns into a fire drill.
With Aletheia
Response plans are generated against live context and prior incidents, then executed under human approval with a full audit trail.
What it does.
A crew, not a chatbot
Four specialist agents mapped to real SOC roles, each with clear responsibilities over a shared context layer.
Detections written like code
Structured, human-readable detection files reviewed and approved through familiar code workflows before going live.
Every signal, one timeline
Endpoint, network, identity, application, and cloud telemetry normalized and correlated as it arrives.
Context behind every call
Is this normal for this account? Has this device shown up before? How does this compare to past attacks?
Coverage you can measure
Track which detections caught which attacks, and where the gaps still are.
Recommends — humans decide
Every proposed action ships with its reasoning and audit trail; guardrails enforce policy before anything executes.
The agent crew.
SOC Manager agent
Orchestrates the other agents, tunes automation, tracks performance, and enforces the guardrails you set.
SOC Analyst agent
Handles multilingual triage and investigation — enriching events, correlating evidence, and drafting the case file.
Incident Response agent
Plans and carries out mitigation steps with deep reasoning over live context and available tooling.
Threat Hunting agent
Proactively chases weak signals that no rule fired on, and turns what it finds into new detection code.
What changes for your team.
Fewer alerts reaching humans
AI-driven triage and correlation filter the queue down to what genuinely needs a person.
Faster investigation and response
Especially for recurring patterns, where context and prior cases are already on hand.
Detection coverage that compounds
Detection-as-code plus continuous hunting means your rule set improves week over week.
Analysts who stay
People spend their time on complex work instead of grunt work — which is what keeps good analysts around.
Built for these teams.
CISOs & security leaders
Who need measurable movement on coverage, time-to-detect, and time-to-respond — not another dashboard.
SOC managers
Who want standardized process, governed automation, and a genuine force multiplier for the team they already have.
Service providers (MSSP/MDR)
Who need multi-tenant isolation, shared detection content, and agents they can put their own brand on.
Want Aletheia running in your environment?
We'll scope it against what you actually have deployed today.