Staying ahead of cyber-security threats is an ever-evolving mission. Increasingly sophisticated malware, ransomware and social engineering attacks powered by artificial intelligence (AI) and machine learning (ML) pose significant financial and reputational risk. 

Interestingly, the same AI/ ML technology leading the attacks is also key to boosting protection in the 2023 cyber security landscape. However, effective protection still requires human intervention – as does navigating the crowded security solutions marketplace.

Outcomex and Cisco deliver the latest AI/ML technology, wrapped in proven security frameworks and expertise, to protect your business IT, processes and people.

Increasing complexity increases risk

Digital transformation means adding endpoints to business networks to deliver data, connect people or access applications.  

This proliferation of endpoints means increasingly complex and unwieldy business networks with an increased threat surface requiring sophisticated security management.

Securing endpoints demands visibility for effective access and behaviour management. 

You can’t secure what you can’t see

Visibility relies on the ability to accurately identify and classify a vast number of endpoints across IT, IoT and user domains – and continuous monitoring to identify abnormal endpoint behaviour. Managing and monitoring on such a large scale is beyond human capability, and that’s where the power of AI/ML comes into its own.

How AI/ML uses millions of data points to boost protection and reduce risk

As Cisco experts explain, ML teaches computers to do what people do: learn by experience. 

Monitoring the cyber threat landscape requires your organisation to track and correlate millions of data points across infrastructure and users.  

By automating analysis, ML recognises patterns and predicts threats in massive data sets at machine speed to: 

• Find network threats 
• Detect malware in encrypted traffic 
• Protect endpoints from malware 
• Identify suspicious user behaviour to protect data in the cloud 

Automating the analysis with supervised learning

Supervised learning calls on sets of training data, called “ground truth,” which are correct question-and-answer pairs. This training data helps: 

• Classifiers to accurately categorise observations 
• Algorithms to successfully analyse new data in the real world 

Inputs and training data require a level of context that can only be provided by humans. AI/ML is only as powerful as the expertise and data frameworks that create and train it.

Strengthen the protection of your digital presence

Outcomex’s end-to-end security assessment service can help strengthen your digital presence significantly. Whether you’re implementing new products and services, or creating new channels of engagement, if you have a digital presence then ensuring your business remains secure is key.

Mark Spencer, National Security Business Manager at Outcomex, explains that “poor cyber security hygiene is responsible for a massive number of breaches and can be addressed early. Prevention is better than cure – reviewing configuration, patching, are a good start, but performing an end-to-end security assessment is vital to the strength of your business’s security.”

An award-winning security partner

You can’t secure what you can’t see. Leverage AI/ML to increase visibility, identify threats and reduce risk with a partner you can trust.  

Smarter security with Outcomex and Cisco

To learn more about how to secure your network using AI/ML, contact us today.