Abhed™

Fileless Malware Detection & Autonomous Threat Mitigation

The Future of Cyber Defense Is Fileless

Traditional antivirus and EDR solutions were designed for static files and known signatures. Modern attacks have evolved — fileless, memory-based, and AI-assisted threats now dominate the battlefield. Abhed™ is built to detect, isolate, and neutralize these invisible threats in real time.

The Problem: Fileless Attacks Bypass Everything

Fileless malware doesn't need a file to exist — it runs directly in system memory, leveraging legitimate tools like PowerShell, WMI, and .NET Framework to execute malicious code.

Leave no artifacts on disk (invisible to antivirus)
Evade sandboxing and signature detection
Spread laterally using trusted processes
Exfiltrate data without triggering alerts

Core Architecture

Four layers of intelligent defense

Layer 1

Behavioral Detection Engine

Continuously monitors system memory, process executions, registry changes, and command lines

Layer 2

AI Correlation & Scoring

Advanced AI models trained on millions of telemetry patterns to determine threat levels

Layer 3

Autonomous Mitigation

Automatically isolates processes, blocks command chains, and triggers rollback actions

Layer 4

Visibility & Compliance

Intuitive console with live endpoint maps, attack visualization, and compliance reports

Key Capabilities

Fileless Threat Detection & Response

Identifies and isolates fileless malware executing in system memory

AI-Driven Behavioral Analytics

Learns system baselines and identifies anomalies in real time

Real-Time Monitoring & Response

Monitors network, endpoint, and process-level events continuously

Threat Intelligence & Predictive Defense

Correlates live telemetry with global threat intelligence

Fileless Threat Detection & Response

  • Memory-level behavioral signatures
  • Process correlation analysis
  • PowerShell, WMI, and registry-based persistence detection
  • Reflective DLL injection technique identification

Complete Feature Set

Fileless Threat Detection

Detects malware executing in RAM or via OS tools

AI-Driven Behavioral Analysis

Learns normal behavior and flags anomalies

In-Memory Process Inspection

Deep kernel-level inspection of running processes

Zero-Trust Execution Control

Verifies every process before execution

Automated Response & Rollback

Instant quarantine and recovery actions

Threat Correlation Engine

Maps events into unified incident view

Predictive Defense

Identifies pre-attack indicators

Lightweight Architecture

Less than 1% CPU overhead

Compliance Logging

CERT-In and DPDP-compliant reports

Real-World Use Cases

Memory-Based Ransomware Prevention

Stops encryption processes running directly in RAM

Insider Threat Detection

Flags anomalous activity from privileged users

Zero-Day Exploit Containment

Mitigates unknown vulnerabilities before patches

Compliance Automation

Simplifies reporting under regulatory standards

Integration Ecosystem

Seamlessly integrates with your existing infrastructure

SIEM Platforms

  • Splunk
  • QRadar
  • Elastic Stack

SOAR Tools

  • Cortex
  • Phantom
  • ServiceNow Security

Cloud Security

  • AWS GuardDuty
  • Azure Sentinel
  • GCP Chronicle

Endpoints

  • Windows
  • Linux
  • macOS

Why Choose Abhed Over EDR?

FeatureTraditional EDRAbhed AI Defense
Detection MethodSignature-basedBehavioral AI
Response TimeAfter infectionPrevents execution
Memory VisibilityLimitedDeep kernel-level
Response TypeManual requiredFully autonomous
Resource ImpactHeavyLightweight (<1% CPU)

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