Between Alerts: What Attackers Do in the Spaces Ordinary Detection Misses
Adversaries exploit operational limits to blend attacks into business operations. AI helps detect stealthy progression.
Intelligence analysis by Qwen 2.5 (3B)
Adversaries use stealth to evade detection, blending attacks into normal business activities. AI-assisted SOC can detect and investigate stealthy progression.
Adversaries use sneaky tricks to hide their attacks. AI helps spot these tricks by looking at all the network activity, not just the alerts. This way, defenders can catch the attackers before they do big damage.
Analysis
The Anatomy of Stealthy Progression
Adversaries exploit operational limits to blend attacks into normal business activities. They use reconnaissance to map internal systems and credentials, and then move laterally to external destinations. This progression is often missed by traditional alerts and tools.
The Role of AI in Detection
AI can help detect and investigate stealthy progression. By analyzing network data, AI can identify anomalies and relationships between events that traditional tools might miss.
The Importance of Network Data
Network data from an NDR platform is crucial for detecting stealthy progression. It provides detailed information on interactions, participants, and the evolution of relationships over time.
Challenges and Solutions
While AI can help, it also presents challenges. Defenders need to apply AI to the same problem, but it needs detailed network evidence from an NDR to search. Retaining underlying network telemetry is key to investigating alerts and signals effectively.
Key points
- Adversaries use stealth to blend attacks into normal business activities.
- AI can help detect and investigate stealthy progression.
- Network data from an NDR platform is crucial for understanding stealthy attacks.
- Defenders need to apply AI to the same problem and retain network telemetry for effective investigation.
With AI, defenders can better understand and respond to stealthy attacks, reducing the risk of data breaches.
If adversaries improve their stealth techniques, AI might not be able to keep up, leaving defenders vulnerable.
