Alerts arrive late
Many tools light up after exploitation or malware execution, when the attacker has already moved past reconnaissance.
SDefender Agentic SOC combines deterministic automation, agentic investigation and responsible human control. It collects and normalizes telemetry, enriches events with context, scores suspicious behavior, executes approved response paths for covered actions and records the evidence for review.
Most environments already have tools that generate alerts. The delay happens when teams must decide whether a weak signal matters, gather context, choose an action and wait for approval.
Many tools light up after exploitation or malware execution, when the attacker has already moved past reconnaissance.
Firewall, endpoint, vulnerability, identity and cloud signals live in separate tools, making triage slow.
Traditional automation handles known patterns, but struggles when a new attack does not match yesterday’s playbook.
Analysts spend time proving that nothing happened instead of approving the few actions that matter.
Even obvious actions can wait in a queue unless the platform can safely automate covered response paths.
Investigates, reasons and decides across every signal, around the clock. It works out what a novel attack is doing instead of matching yesterday’s signature.
Acts in milliseconds, deterministically and fully auditably. The engine executes in ~0.12s the instant a decision is made.
The judgment of AI combined with the speed and certainty of a machine, on duty around the clock.
The product is designed to shorten the path between an observable signal and a governed action.
Ingest logs and events from approved sources using standard connectors and VRL-based normalization.
Add asset, identity, source, reputation and threat context so weak signals are assessed in the right environment.
Correlate behavior and raise a dynamic Penalty Score when activity crosses defined thresholds.
Run approved, reversible response paths automatically where the action is safe and already governed.
Route ambiguous or sensitive changes to a responsible analyst before enforcement.
Keep the detection, decision, action and result available for audit and improvement.
Real-time threat scoring based on observed behavior across the whole network. Instead of manual playbooks, SDefender assigns a dynamic Penalty Score to suspicious activity and autonomously blocks, quarantines or throttles — before human confirmation is required.
Proprietary decoy environments lure attackers away from critical assets and gather intelligence on their tactics, exposing intrusions early.
Statistical models analyze entropy patterns and behavioral deviations to catch zero-day threats and anomalies that evade signature-based tools.
Built on the open-source Vector Remap Language. It ingests and normalizes any log format from any agent (NXLog, Filebeat, Fluentd) or direct source, so the investment keeps its value as your stack evolves.
A single-pane world-map dashboard shows event sources and server health in real time, with a Report Builder and an AI Assistant for fast investigation.
Repeated triggers raise an address penalty until automatic blocking kicks in. Role-based access control governs operations, and optional threat-intel feeds and lists add enrichment on top of the signatureless core.
A measured view of live signals, noise level, response time and covered automation paths.
A clear list of what can run automatically and what must wait for human approval.
Evidence for each detection, score change, automated action and analyst decision.
Threshold, source and rule adjustments based on the customer environment.
Operational guidance for SIEM, firewall, ticketing and notification flows.
A concise review of measured results, remaining limitations and next controls to improve.
This sanitized demo capture shows the live response dashboard used to review hostile activity and covered actions.
The view supports operational review: what activity was observed, how many actions ran and where the response path needs analyst review.
Sanitized demo view. Customer identifiers, IP tables and log-source details are excluded.
Installation and initial launch with a core set of automated defense rules completes within 24 hours, ingesting your existing log sources immediately.
A dedicated SDefender team verifies automated actions and tunes the Smart Automatic AI to your unique environment.
The platform manages the vast majority of threats without human intervention and shows measurable results within the first weeks of operation.
Automatic enforcement is limited to actions that are configured, tested and reversible or otherwise approved.
Ambiguous cases and consequential rule changes can require analyst approval before enforcement.
MTTR, false-positive rate and safe automation coverage are validated during the pilot against the customer environment.
A controlled pilot measures what Agentic SOC can see, decide and safely automate in the selected environment.
Select sources, response boundaries and success criteria.
Connect telemetry, configure rules and define approval gates.
Tune scoring, review actions and measure the response outcome.
Choose one product, one environment and one measurable outcome. We define success criteria before the engagement begins.
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