How deception technology bolsters retail cybersecurity, from detecting breaches early to gathering specific, actionable threat intelligence.
How our deception-powered threat intelligence platform protects POS systems and supply chains.
Retail organizations handle large volumes of customer data, payment information, and online transactions across highly interconnected systems. A cyberattack can lead to financial loss, data exposure, regulatory consequences, and loss of customer trust. Effective cybersecurity is essential to protect customers, maintain uptime, and ensure business continuity.
Retailers are frequently targeted by point-of-sale malware, ransomware, phishing campaigns, credential theft, and supply chain attacks. These threats can disrupt store operations, compromise e-commerce platforms, and expose customer payment data. Attackers often exploit the scale and complexity of retail environments to move undetected.
CounterCraft deploys realistic decoy systems that reflect retail infrastructure such as payment environments, backend services, and internal networks. When adversaries interact with these assets, the platform captures real attacker behavior rather than inferred anomalies. This provides security teams with early, high-confidence detection and clear insight into attacker intent.
Yes. CounterCraft detects malicious activity during early stages such as reconnaissance or lateral movement. This allows security teams to intervene before attackers reach customer data, payment systems, or transactional platforms. Early detection significantly reduces the likelihood of a full data breach. Find out how AI-powered deception works with a demo.
Decoy assets are not accessed during normal retail operations. Any interaction with them indicates malicious activity rather than legitimate user behavior. This dramatically reduces alert noise and allows SOC teams to focus on real threats.
Yes. CounterCraft integrates with SIEM, SOAR, and other security platforms commonly used by retail organizations. Threat intelligence from attacker interactions can be consumed directly in existing workflows. This enhances detection and response without replacing current infrastructure.
CounterCraft is one of the few deception vendors that can install in hours, not weeks. Once configured to reflect the retail environment, CounterCraft begins collecting attacker interaction data immediately. Security teams can start receiving meaningful alerts as soon as adversaries engage with decoy assets. This enables faster visibility without long deployment cycles.
Security operations teams, incident response analysts, threat hunters, and CISOs benefit the most. These teams gain earlier detection, better context around attacker behavior, and more reliable intelligence. This is especially valuable in large retail environments with high transaction volume and distributed systems. Find out how deception powers preemptive cybersecurity with a demo.
Protecting payment systems requires early detection of attacker movement inside the network, not just perimeter controls. Visibility into how attackers probe and move toward payment environments allows teams to stop attacks before data is accessed. Behavior-based detection plays a critical role in this approach.
POS malware is designed to capture payment card data directly from point-of-sale systems. It often operates quietly, blending into normal system activity. Detecting attacker behavior around POS environments helps reveal these attacks before data is exfiltrated.
Preventing account takeover requires identifying unauthorized access and credential misuse early. Monitoring attacker behavior as they move through internal systems provides stronger signals than relying on login anomalies alone. Early detection helps limit fraud and customer impact.