INSUBCONTINENT EXCLUSIVE:
Cloud computing services have transformed businesses large and small across all sectors in recent years and this is only set to increase
IDC predicts that by 2023, public cloud spending will more than double, growing from $229 billion in 2019 to nearly $500 billion
businesses do to address this? A big part of the answer lies in emerging technologies such as artificial intelligence (AI) and automation,
which will drive new ways of securing the cloud in 2020 and beyond.Challenges of securing the cloudThe accelerated technical infrastructure
change, digital transformation, and increased storage adoption has significantly altered the challenges faced by businesses to secure their
The benefits of cloud are clear, from increased speed and agility to advanced cloud analytics
However, these must be considered alongside the potential for an expanded threat surface associated with a broader network.Security is one
of the major concerns for businesses looking to migrate their infrastructure to the cloud, as moving significant amounts of data opens up
However, some businesses then fall into the trap of thinking that once the migration project is complete, the major security risks are
be presented with the keys to the cloud through internal access to an organisation
However, with only a third of organisations employing an endpoint security-first approach to data storage in the cloud, there is still work
that needs to be done.Further compounding these challenges is the need for cybersecurity training, with the shortage of skilled
For example, it recognizes, learns, and models behavioral patterns to adapt systems to the most sophisticated of threats
This enhances the role cybersecurity specialists play, allowing them to react more rapidly, allocate more manual tasks such as scanning, and
and protection against, threats
It will provide deeper visibility into attacker behavior, reducing the dependency on detecting pre-configured attack alerts
It does this by learning and registering what is normal, to increase the probability of identifying abnormal behavior in an environment
This will empower analysts to triage threats such as malware and react to attacks more rapidly.However, AI inevitably poses additional
challenges for cybersecurity
When it comes to AI, we often see a game of cat and mouse, with adversaries seeking to use the technology and techniques to their advantage
AI presents an opportunity for threat actors to deliver larger scale and more complex attacks, with the ability for adversaries to confuse
defensive AI models and circumnavigate them.Therefore, adopting new technologies will need to be carefully considered
There is no doubt that automation through AI and machine learning is an enabler for analysts
However, over-reliance on technology can be the downfall of an organisation
Analysts still require deep security expertise and this should be enhanced through technologies, such as automation, rather than replaced by
they have done year-on-year
Organisations should ensure they are embedding a security-first approach as they digitally transform their business
Through adopting emerging technologies to augment security, businesses can reduce the dependency on human intervention and increase
efficiency, effectiveness, and scalability
expertsBusinesses should explore how working with a third party can provide additional expertise that augments their existing capabilities
by proactively monitoring and mitigating attacks
ever-evolving threat landscape and data growing in volume and value by the day, organisations need to constantly adapt their security and
processes to ensure their systems are not compromised
Going into 2020, businesses will need to think and evolve with security at the forefront of their plans and operations.
