Resources · Explainer

What is SDefender?
The Autonomous SOC, explained

Traditional SIEM and human-run SOCs can't keep up. SDefender's SOAR PLUS architecture, powered by Smart Automatic AI, detects threats at the first move and responds on its own. Here's how it works.

The crisis: why traditional SOCs are breaking

The proliferation of digital assets and the sophistication of advanced persistent threats have rendered traditional SIEM and human-centric Security Operations Centers inadequate. The crisis comes down to three failures:

  • Alert fatigue. Analysts drown in notifications, with false-positive rates reported as high as 95%. The noise buries real threats and burns out teams, leading to missed breaches.
  • Unacceptable response times. Manual triage means a Mean Time To Respond measured in hours or days — long enough for an attacker to pivot, establish persistence and reach their objective.
  • Skyrocketing cost. Staffing a 24/7 SOC and licensing legacy tooling drives operating costs through the roof.

SOAR PLUS: from correlation to autonomy

SDefender moves beyond mere event correlation (legacy SIEM) and scripted automation (traditional SOAR). It introduces a SOAR PLUS architecture that unifies SIEM and SOAR in a single platform and prioritizes instant, automated mitigation over alerting. Log correlation does more than raise an alert: it directly triggers an automated defense.

Smart Automatic AI & the Penalty Score

At the core is SDefender's Smart Automatic AI. Instead of relying on manually written playbooks for known patterns, the engine performs real-time threat scoring based on observed agent behavior — internal and external — and context across the entire network.

It dynamically assigns a Penalty Score to suspicious activity. As repeated triggers raise the score past a configured threshold, the platform autonomously executes high-speed defenses — blocking, quarantining or throttling — before human confirmation is required.

Detection that doesn't depend on signatures

  • SmokeScreen deception. Proprietary decoy environments lure attackers away from critical assets and gather intelligence on their tactics.
  • Entropy-based detection. Statistical models analyze entropy patterns and behavioral deviations to identify anomalies and zero-day threats.

Stopping attacks across the kill chain

SDefender intervenes across the observable stages of the cyber kill chain: detecting scanning and probing before compromise, blocking malicious payloads at delivery and exploitation, and preventing persistence, command-and-control and damage at installation and actions-on-objective.

Built to fit any stack

The platform supports both on-premises and cloud environments. Universal log collection is built on the open-source Vector Remap Language (VRL), so SDefender ingests and normalizes any log format from any agent — NXLog, Filebeat, Fluentd — or direct sources, future-proofing the investment. Role-based access control governs operations, vendor feeds and lists keep defenses current, and alerts reach administrators over email, Microsoft Teams and Telegram.

Value in weeks, not years

Where legacy SIEM/SOAR deployments take 6–12 months, SDefender uses a phased model: onboarding in one day with core defense rules, 2–4 weeks of tuning the AI to your environment, then full autonomous operation.

Measurable results

  • 99.98% of attacks blocked automatically
  • 0.56s average automated response time
  • < 3 false positives per month
  • Up to 85% lower total cost of ownership

A product line, not a point tool

Available now: Agentic SOC, Exposure Management, firewall-focused Security Posture Management, and AWS-focused Cloud Security Posture Management. Endpoint Security (EDR) and SDefender Desk will be available soon; Security Awareness Training is planned.

See it stop a live attack

Book a pilot and measure MTTR, alert noise, detected reconnaissance and safe automation paths in your own environment.