<ul><li>Companies are continuing to invest in technology to run their businesses.</li><li>Now, they are layering more systems into their IT networks to support remote work, enhance the customer experience, and generate value, all of which creates potential new vulnerabilities.</li><li>Even today's most sophisticated cybercontrols, no matter how effective, will soon be obsolete.</li><li>The solution is to reinforce their defenses by looking forward-anticipating the emerging cyber threats of the future and understanding the slew of new defensive capabilities that companies can use today.</li></ul>

Cybersecurity: A Never-Ending Race

Behavioural analytics can monitor attributes such as access requests or the health of devices and establish a baseline to identify anomalous intentional or unintentional user behaviour or device activity.

Behavioural Analytics 

Elastic log monitoring for large data sets allows companies to pull log data from anywhere in the organization into a single location and then to search, analyze, and visualize the data in real-time.

Elastic Log Monitoring

<ul>
<li>Today, cyberhacking is a multibillion-dollar enterprise, complete with institutional hierarchies and R&D budgets.</li>
<li>Attackers use advanced tools.</li>
<li>Ransomware as a service and cryptocurrencies have substantially reduced the cost of launching ransomware attacks, which have doubled each year since 2019.</li>
</ul>

Hackers Getting Smarter And Resourceful

To counter more sophisticated attacks driven by AI and other advanced capabilities, organizations should take a risk-based approach to automation and automatic responses to attacks.
<ul>
<li>Automation should focus on defensive capabilities like security operations centre (SOC) countermeasures and labour-intensive activities.</li>
<li>Use of defensive AI and machine learning for cybersecurity.</li>
<li>Technical and organizational responses to ransomware.</li>
<li>The level of digitization accelerates, and organizations can use automation to handle lower-risk and rote processes, freeing up resources for higher-value activities.</li>
</ul>

Using Automation to Combat Increasingly Sophisticated Cyberattacks

<ul>
<li>Secure software development.</li>
<li>Have security and technology risk teams engage with developers at all times.</li>
<li>Software bill of materials.</li>
<li>Mitigate the administrative burden by formally detailing all components and supply chain relationships used in the software.</li>
<li>Take advantage of X as a service.</li>
<li>Infrastructure and security as code.</li>
<li>Standardizing and codifying infrastructure and control-engineering processes can simplify the management of hybrid and multi-cloud environments.</li>
</ul>

Embedding Security in Technology Capabilities

Mobile platforms, remote work, and other shifts increasingly hinge on high-speed access to large data sets, increasing the likelihood of a breach
To execute these business models, companies need new technology platforms, including data lakes that can aggregate information

Growth of On-Demand Access to Ubiquitous Data/information Platforms

Cyber risk management has not kept pace with the proliferation of digital and analytics transformations, and many companies are not sure how to identify and manage digital risks.
At the same time, companies face stiffer compliance requirements-a result of growing privacy concerns and high-profile breaches.

Increasing Regulations and Continued Gaps in Resources, Knowledge and Talent

Mitigating the cybersecurity risks of on-demand access to ubiquitous data requires four cybersecurity capabilities: zero-trust capabilities, behavioural analytics, elastic log monitoring, and homomorphic encryption.

Building Over-The-Horizon Defensive Capabilities

Shifts the focus of cyberdefense away from the static perimeters around physical networks and toward users, assets, and resources, thus mitigating the risk from decentralized data.

Zero-Trust Architecture (ZTA)

Homomorphic encryption allows users to work with encrypted data without first decrypting to give third parties and internal collaborators safer access to larger data sets and meet more stringent data privacy requirements

Elastic Log Monitoring

Similar ideas to Elastic Log Monitoring

Tools that drive data analysis

Dynamic strategy

Performance