ITsecurity Wire

RPA gained traction due to its ability to automate repetitive tasks, eliminate human error, and enhance productivity. But, data leakage and threats are two major risks with RPA. As the bots handle sensitive data, they can be exposed without robust security measures in place.

A successful Distributed Denial of Service (DDoS) attack threatens the company’s infrastructure, reputation, and costs them millions. Hence, having a DDoS mitigation solution that protects them from various DDoS assaults is essential. Layer 7 (L7) Application Attacks target the application layer by disabling specific functions or features of a website/web application by overusing them.

With increasing tools, risks, and regulations, the onus of ensuring security is strong falls on all leadership- not just the CISO, – read on for the second part of our conversation with Jimmy Mesta, co-founder and CTO of KSOC.

Ensuring ethical and responsible research and implementation of Generative AI (GenAI) is critical. Governance, privacy, and data ethics are ethical considerations that demand careful attention. These help firms create a clear roadmap for responsible development and deployment of AI.

Robotic Process Automation (RPA) provides efficiency and agility in its processes. It will enable security teams to draw insights from large data volumes to deliver predictive security actionable. This makes it a very useful tool for cyber security. The rising cyber risks today make hiring enough experts for the job nearly impossible. The expanding threat landscape makes any solution fall short of eliminating the risks.

Cloud environments are complex, and often, there are security gaps. Companies can conduct in-depth cloud security assessments for proper protection of such gaps. Organizations should watch out stringently for security gaps in their cloud environment. If not mitigated, they can pose huge losses for businesses.