Identify risks earlier, validate security controls, and gain meaningful signals before incidents occur.
Core Security Layers
Caspipot treats security as a connected intelligence system rather than a collection of isolated tools.
Signals from adversary interaction, control validation, and exposure intelligence strengthen a shared security context.
• Security controls are validated through real technical pressure
• Attacker behavior is observed directly through controlled interaction
• External exposure signals are analyzed before incidents occur
Most security programs are built around reacting to events.
This layer is built around provoking interaction.
Caspipot deploys controlled, isolated deceptive environments designed to attract reconnaissance, credential testing, and probing behavior — long before production systems are reached.
Security controls are only as strong as their real-world performance. This layer continuously evaluates application logic, API exposure, WAF sensitivity, and infrastructure tolerance under controlled stress and adversarial simulation. The result is measurable control integrity, not assumptions.
Security posture is influenced not only by internal controls but also by what is visible, exposed, and circulating outside the organization.
External breach data, malicious infrastructure intelligence, and account level exposure often provide early signals of emerging risk that traditional internal monitoring does not capture.
This layer transforms scattered external signals into structured organizational visibility.
Externally exposed deceptive assets are deployed outside the production environment to attract attackers during reconnaissance. All interactions, credentials, and request patterns are captured without risking real systems.
Attacker actions are analyzed based on behavior, sequence, and intent rather than static signatures, enabling detection of unknown or evolving attack techniques.
Internet-facing assets, misconfigurations, and exposed services are continuously monitored to identify reachable attack paths before they are exploited.
Leaked, reused, or brute-forced credentials observed during attack activity are collected and correlated to identify access risks and compromised identities.
Security controls such as WAF rules and filtering mechanisms are tested against real attack traffic to validate effectiveness and identify bypass conditions.
Discovered attack paths, techniques, and interaction patterns are stored and continuously enriched, forming a reusable intelligence library for future detections.
Caspipot was built through real-world security operations and continuous exposure to live threat activity.
The platform is shaped by what attackers actually do, not the assumptions.
Security Operations
Daily Detected Malicious Request
Monthly Blocked Attacker
Monthly Blocked Attacker
Boyner Group
Doğuş Group
Flo Group
Nadir Gold
Megasec.Az
Boyner Group
Doğuş Group
Flo Group
Nadir Gold
Megasec.Az
Boyner Group
Doğuş Group
Flo Group
Nadir Gold
Megasec.Az
Boyner Group
Doğuş Group
Flo Group
Nadir Gold
Megasec.Az