The retail landscape, particularly around the holiday season, is becoming an attractive playground for cybercriminals. This high-stakes environment requires immediate action to prevent potential threats, with a single attack having the capacity to inflict losses up to a staggering $5 million. It’s not just about the financial losses; the long-term damage to customer trust and brand reputation carries an even heavier price tag.

Cybercrime is evolving. Thanks to advanced artificial intelligence (AI), criminals are placing retail websites under siege. Recent reports reveal an average of 569,884 AI-driven attacks on retail sites daily. Particularly concerning is the significant increase in evasive and harmful bad bot traffic and infringements of business logic, eliciting the urgent need for a game-changing strategy.

In the bid to combat these sophisticated threats, an essential tool is rising to the forefront: Network Detection and Response (NDR). Designed to be proactive, NDR offers real-time threat monitoring and response, bridging the gap where traditional security measures may falter.

Using advanced machine learning and AI, NDR works to detect and counteract malicious enterprise network activity. It continuously monitors network activities, providing comprehensive real-time visibility that aids in swift identification and threat response. Adapting their network activity models according to detected threats, responses and input from security analysts and threat intelligence feeds, NDR tools become more accurate and effective over time in detecting and neutralizing evolving threats.

For instance, if a retailer’s e-commerce platform is targeted by an AI-powered botnet trying to manipulate prices or misuse discount codes, a traditional security protocol might miss these threats. However, an NDR system would detect these anomalies immediately. Moreover, NDR can do more than just recognizing threat activity; it can single out threats even cleverly disguised in regular traffic, enabling security teams to isolate the threat and take necessary action.

With vast amounts of customer data being handled daily, retail businesses are prime targets for cyber attackers. Complying with regulations such as GDPR, CCPA, and PCI-DSS is critical. Data breaches don’t only violate these regulations but can also bring about large penalties. NDR offers comprehensive security and compliance measures to protect customer data and avoid non-compliance fines.

• Adopt NDR: NDR offers real-time visibility into network activities, allowing identification and neutralization of threats missed by traditional security measures.
• Combine NDR with Other Tools: Integrating NDR with existing cybersecurity tools like EDR and SIEM ensures comprehensive security protection.
• Educate Security Teams: Training your security teams to effectively use NDR tools is critical for successful threat detection and response.
• Regularly Refine Models: Continuous updates of NDR models with new threat intelligence and feedback is vital for maintaining their accuracy and potency.

With financial losses, customer trust, brand reputation, and investor confidence on the line following a successful cyber attack, NDR forms a critical component of cybersecurity strategy. By adopting NDR, businesses can prevent hefty financial losses, safeguard customer trust, and maintain strict compliance with data regulations, thus ensuring business continuity.

• Proactive Monitoring: NDR provides real-time monitoring and detection capabilities for swift threat response.
• Visibility: NDR offers visibility into all network activities, improving the potential to intercept security incidents.
• Security Integration: The combination of NDR with other cybersecurity tools boosts overall security protection against evolving cyber threats.

Conclusion

Sources