Blog Posts

A recent survey reveals that 61% of organizations experienced cybersecurity incidents in the last two years, with over half facing four or more. As IT and OT systems increasingly converge, traditional security silos are leaving critical gaps. Attackers exploit the lack of integration between IT's data focus and OT’s operational priorities, creating major vulnerabilities.

As manufacturing becomes more digitized and reliant on third-party vendors, cybersecurity risks are rising sharply. Traditional onboarding assessments aren't enough—companies need Continuous Threat Exposure Management (CTEM) to stay ahead. CTEM offers a proactive, ongoing approach to identify, validate, and fix vulnerabilities in real time, especially those stemming from complex supply chains. By adopting CTEM, manufacturers can enhance security, maintain compliance, ensure operational resilience, and strengthen vendor relationships.

As manufacturing digitizes, legacy OT systems like PLCs and SCADA face rising cyber threats due to increased connectivity. Designed for reliability, not security, these systems are now vulnerable. This article explores how AI-powered Continuous Threat Exposure Management (CTEM) provides real-time visibility and automated defense, helping manufacturers detect and mitigate risks before they disrupt operations.

Traditional cybersecurity dashboards miss evolving threats, creating a false sense of security. Continuous Threat Exposure Management (CTEM) offers real-time visibility, prioritization, and proactive risk mitigation—especially vital for complex systems like SAP, Oracle, and POS. CTEM aligns security with business goals for stronger, adaptive cyber defense.

A single data breach can destroy years of brand loyalty—75% of customers won’t return after one. Retailers face not only millions in financial losses but also lasting damage to trust and reputation. To survive, cybersecurity must go beyond tech—it's about defending both your network and your brand.

Large retail chains face rising cyber threats, especially ransomware and data breaches, with average losses hitting $4.88 million. AI-powered cybersecurity enables proactive risk management through predictive analytics, real-time monitoring, and automation. To scale protection, retailers must unify threat visibility, automate responses, and standardize governance across global operations.