We partner with the world’s leading cybersecurity vendors to deliver comprehensive and reliable solutions designed to protect businesses of all sizes against evolving cyber threats. Our solutions incorporate AI technologies in automating and proactively protecting business assets with a clear objective of ensuring the availability, integrity and confidentiality of business information.
We protect applications from threats throughout their lifecycle. We incorporate various strategies, tools and processes aimed at ensuring that applications are secure from vulnerabilities and attacks. Application security is a critical component of overall cybersecurity strategies that ensures their integrity, confidentiality and availability.
Our cloud offering employs a multilayered security approach for businesses to better defend against evolving threats in a cloud environment. We ride on partners such as AWS, MS Azure, Google Cloud, IBM Cloud, Alibaba, Huawei etc
Our mobile security offerings include device encryption, endpoint protection, mobile application management, and secure access with Multi-Factor Authentication (MFA). We also provide real-time threat detection, data loss prevention, and compliance tools to safeguard mobile devices and sensitive data.
Our user security offerings include MFA, IAM, endpoint protection, encryption, real-time monitoring, vulnerability management, and compliance services.
Cyber Security
Message or transaction should be true to itself
We act against DDOS – we stop bad guys from infiltrating the systems
User + Endpoint + Network + Application + Data + Mobile
Our IT Security Life Cycle is a structured approach to managing and protecting an organization’s IT assets.
It emphasizes that security is not a one-time event, but rather an ongoing process that requires continuous attention and refinement.
This cyclical model emphasizes the importance of a proactive and continuous approach to managing cybersecurity risks. It begins with identifying and understanding the organization’s assets, threats, and vulnerabilities. This is followed by implementing appropriate safeguards to protect critical systems and data. The framework then focuses on detecting potential threats, responding effectively to incidents, and recovering from any disruptions to operations. By following this framework, organizations can establish a robust cybersecurity posture and minimize the impact of potential cyberattacks.
Distributed Denial of Service (DDoS) attacks aim to make services unavailable by overwhelming them with traffic. As digital infrastructure becomes increasingly critical to businesses, protecting against DDoS attacks is essential.
As organizations increasingly rely on digital infrastructure, the management of privileged accounts becomes crucial for safeguarding sensitive data and systems.
In an increasingly complex threat landscape, organizations face challenges in managing security incidents efficiently.
Endpoint Detection and Response (EDR) refers to a cybersecurity technology that focuses on detecting, investigating, and responding to threats on endpoints—such as laptops, desktops, and servers.
Extended Detection and Response (XDR) is a comprehensive cybersecurity solution that integrates multiple security products into a unified platform. XDR provides enhanced visibility, detection, and response capabilities across various security layers, including endpoint
Network Detection and Response (NDR) is a cybersecurity solution designed to monitor network traffic for suspicious activities, detect potential threats, and respond to incidents in real time.
Managed Detection and Response (MDR) is a cybersecurity service that provides organizations with proactive threat detection, continuous monitoring, and rapid incident response.
Automation plays a crucial role in cybersecurity by automating repetitive tasks and leveraging AI and ML to enhance threat detection, response, vulnerability management, SOC optimization, compliance, and identity management. This automation improves efficiency, speeds up response times, enhances accuracy, and enables organizations to scale their security operations effectively.
Artificial Intelligence (AI) is a powerful tool in cybersecurity, enhancing threat detection, incident response, vulnerability management, SOC optimization, and user behavior analytics. AI can detect anomalies, analyze threat intelligence, automate incident response, prioritize vulnerabilities, and identify insider threats. This technology offers improved accuracy, faster response times, and enhanced scalability in combating cyber threats.
Anomaly detection is a crucial technique in cybersecurity, enabling organizations to identify and respond to unusual activities that may indicate a cyberattack. By leveraging AI-powered anomaly detection techniques, security teams can proactively detect threats, reduce the risk of data breaches, and protect valuable assets.
Machine learning (ML) is a powerful tool in cybersecurity, enhancing threat detection, incident response, vulnerability management, SOC optimization, and user behavior analytics. ML can detect anomalies, analyze threat intelligence, automate incident response, prioritize vulnerabilities, and identify insider threats. This technology offers improved accuracy, faster response times, and enhanced scalability in combating cyber threats.
