The task of Attack Surface Management is clear.
The tool analyzes the findings to determine which high-risk weaknesses need patching up. The report ends the cycle.
Assets within and outside of the attack surface are sought and cataloged.
It is possible to evaluate vulnerable assets within the attack surface by using artificial intelligence.
The high number of security professionals leaving the field has increased the relevance of the software.
How can Attack Surface Management help security analysts who are still at the forefront of defenses for many businesses?
Let’s see if we can find out.
The series of resignation in Cybersecurity companies.
According to recent research, 45% of professionals considered quitting, and at least one colleague left the due position to a high level of stress, in 2022.
Businesses have a hard time retaining talent in their cyber divisions.
Heavy workload and poor work life balance combined with pressures and responsibility to secure the key assets of a business have urged almost half of the cybersecurity professionals to quit their jobs.
Statista says the top five culprits for the great resignation in the field are:
Job offers from other companies.
There isn’t any job incentives for employees.
There are limited opportunities for development and promotions.
Sky high stress levels
Management has insufficient support.
The teams are understaffed and overwhelmed by the increased number of resignations.
The number of cyberattacks has gone up over the last couple of years, leaving teams with constant threats and zero-day exploits.
Many companies expect their security teams to be more available.
How does the use of artificial intelligence help management?
There is a reduction in the number of warnings.
IT teams can get over 1,000 notifications a day. Not all of them are important, but the rest need to be watched because of the incidents such as successful ransomware, or data breeches.
Members of the security team are likely to discard the false positives that come from the continuous notifications. Major slip-ups can put companies at risk.
High-risk and low-risk issues are separated by Attack Surface Management. The assets that are most likely to endanger the infrastructure are highlighted in the feature.
Risk-focused reports are updated on the dashboard to let teams know where vulnerabilities are at all times. It allows them to make quick conclusions on the severity of the exposed assets and find out where they are in the system.
There are reports that indicate:
How many assets have been discovered.
Which assets are classified by type.
What is the security’s score?
What type of assets have been lost?
The management of complex systems should be simpler.
The last couple of years have seen an increase in the number of attacks. New types of threats have been targeted at businesses.
The high number of assets on both internal and external surfaces made it difficult to control the surface.
What can you do to reduce the attack surface of the company?
It seems counterintuitive to add more tools to the security infrastructure that already has increased in complexity. Attack Surface Management is designed to simplify the work of professionals.
The latest version of the tool gives an overview of the entire attack surface at a glance, instead of having to deduce which alerts matter when they are coming from multiple controls.
It doesn’t evaluate and classify the assets within the organization’s infrastructure.
The management was assisted by automation.
Security professionals are dedicating more time towards work that seeks more human brain power due to the allocation of repetitive tasks to artificial intelligence.
Timely identification of issues.
Artificial intelligence allows the tool to continually run in the background, testing any attack vectors and analyzing its findings, so it can alert the teams early on.
Automated red teaming is a tool that can be used to target assets that an attacker would target.
Having the data available on the spot can speed up the time it takes teams to realize that they have to react but also help them mitigate the threat with the right protocols, tools, and techniques.
In the event of a successful cyberattack, IT teams are left with more work to do. Security needs to be strengthened, the threat mitigated or isolated.
Businesses can be set back millions if an attack is not discovered early. According to Statista, the average cost of a data breach is $4.34 million.
It is questionable if businesses will continue to operate following a major breach if they are understaffed in the security department or have insufficient defenses.
This tool won’t solve the issues that have led to an increase in the number of resignations.
It helps experts who are still working in the industry to combat alert fatigue and replace dashboards that demand their attention.
It can create a patching schedule based on the findings and automate manual tasks. They have more resources to allocate towards complex and pressing issues with repetitive tasks outsourcing.
Artificial intelligence is able to speed up response time.
The data that is generated following the testing and analysis process aids teams in thinking quickly and dealing with the issue at hand.