Winning Against AI-Based Attacks Requires a Combined Defensive Approach

Why It Matters

The combined approach shortens dwell time and mitigates breaches that would otherwise slip past isolated defenses. Organizations that adopt both technologies gain visibility across endpoints and network traffic, crucial for defending against rapidly evolving AI‑powered threats.

Key Takeaways

• AI-generated malware evades traditional EDR signatures
• NDR detects network anomalies missed by endpoint tools
• Combined NDR/EDR reduces attack dwell time
• Remote VPNs expand attack surface without network visibility
• Threat groups use steganography and AI for rapid attacks

Pulse Analysis

The emergence of AI‑driven threat actors marks a turning point for cyber defense. Large language models now craft malicious scripts on the fly, allowing malware to reshape itself and dodge signature‑based scans. High‑profile cases—from Anthropic’s autonomous espionage operation to ClickFix’s image‑based steganography—demonstrate that reliance on endpoint‑only sensors leaves a blind spot that sophisticated adversaries readily exploit.

Network Detection and Response (NDR) offers the missing layer of insight by continuously monitoring traffic patterns, protocol anomalies, and lateral movement across the entire infrastructure. Unlike endpoint detection and response (EDR), which focuses on host‑level events, NDR can flag deviations such as unexpected data exfiltration volumes or spoofed packet origins, as seen in the Volt Typhoon and Blockade Spider campaigns. When NDR alerts feed into EDR tools, security teams gain a richer context, enabling faster containment and forensic correlation across cloud, on‑prem, and remote environments.

For enterprises, the practical implication is clear: a siloed security stack is no longer sufficient. Deploying an integrated NDR/EDR strategy—leveraging platforms like Corelight’s Open NDR—provides continuous, multi‑vector visibility that counters AI‑enhanced evasion techniques. Organizations should prioritize metadata sharing, automated response playbooks, and regular tuning of behavioral baselines to keep pace with the accelerating threat landscape, especially as remote work and VPN usage broaden the attack surface.