Breach and attack simulation. BAS solutions | Breaking Cybersecurity News | The Hacker News

Global spending on cybersecurity products and services is predicted to exceed $1 trillion during the period of five years, between 2017 to 2021, with different analysts predicting the Compound Annual Growth Rate (CAGR) at anywhere between 8 to 15%. It is not surprising to see this growth in spending, which is primarily driven by the evolving sophistication and volume of attacks as well as the surmounting costs of a successful data breach. And yet, data breaches continue. The sad news is that about 80% of data breaches can be prevented with basic actions; such as vulnerability assessments, patching, and proper security  configurations . The specific reasons vary; but include staffing and resource issues, lack of expertise to optimize complex, multi-vendor security systems, and a host of other reasons. Whatever the specific cause, the common theme is that security lagged either internal IT changes or changes in the external threat landscape. The phenomenon is well known in

A new threat has hit head the headlines ( Robinhood anyone?), and you need to know if you're protected right now. What do you do? Traditionally, you would have to go with one of the options below. Option 1 – Manually check that IoCs have been updated across your security controls. This would require checking that security controls such as your email gateway, web gateway, and endpoint security have all been updated with the latest threats' indicators of compromise (IoCs) usually published by AV companies who detect the malware binaries first. Option 2 – Create a 'carbon copy' of your network and run the threat's binary on that copy. While safe, IT and security teams may be unaware of certain variations from the real deal. So while the attack simulation is running against an 'ideal' copy, your real network may have undergone inadvertent changes, such as a firewall running in monitoring mode, a patch not being installed on time, and other unintent

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or