detection to response powered by your context
A world-class AI SOC platform that knows every detail of your environment, continuously adapts, and earns trust at every layer.












“Mate goes beyond processing alerts - it continuously learns how our environment operates. It becomes more attuned to what matters most, helping our team focus on the work that truly strengthens our security posture.”
the security context graph
Mate captures the context your tools never recorded, then keeps it sourced, scored, and current.
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find threats before they find you
Paste a threat report or ask in plain language. Mate extracts IOCs and TTPs, then hunts across every connected tool.
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Expert-depth logic for every alert
Mate investigates every alert with the same depth your best analyst would bring, grounded in the context it already knows.
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Security expertise meets tool mastery.
Mate understands the alert category, then works each tool like an expert analyst would.
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IAM drift, public exposure, cross-account trust, resource changes, and misconfiguration impact.
Insider risk
Behavioral deviation, peer-group baselines, HR signals, DLP context, and unusual data movement.
Business email
Forwarding rules, invoice changes, executive impersonation, vendor context, and mailbox history.
Endpoint
Process trees, LOLBins, file reputation, sandbox behavior, containment paths, and lateral movement.
Identity
Authentication baselines, JIT access, MFA bypass, privilege escalation, and risky login patterns.
Phishing
Mailbox analysis, sender checks, QR patterns, campaign clustering, URL detonation, and user impact.
Autonomy that proves itself first
Response is not a leap of faith, and agents don't grade their own homework. Mate earns autonomy per category, under deterministic guardrails, after the investigation quality is independently good enough to trust.
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Built in Checks & Balances for Agents
Mate’s platform has built in controls, outside the agent’s reasoning loop Mate cannot widen its own permissions, expand its own blast radius, hide its own actions, or grade its own accuracy. Each control is enforced by the platform, not by the model.

Scoped operators
Narrow permission boundaries, reversible steps wherever possible, and explicit escalation rules.
Deterministic guardrails
Confidence thresholds, blast-radius limits, and approval paths are enforced outside the agent's reasoning loop.
Auditable action trail
Every action links back to the investigation, evidence, memories, operator output, and final verdict.
Accuracy drift detection
When agents' verdicts begin to conflict with analyst reviews for a category, Mate rolls that category back to Supervised Mode.
Detection Engineering that Continuously Tunes
Detections are continuously created, tuned, or deprecated based on investigation outcomes and contextual changes, maximizing coverage and relevance.





























