Since Covid-19, a human virus has forced virtually the majority of workforces online, making companies exceptionally reliant on digital systems and vulnerable to malicious cyber attacks as a consequence. Since then cyber attacks have increased.

As the paradigm of working-from-home is in full swing here are three ways companies can ramp up their cybersecurity strategies today:

1. Review incident response plans

Ensuring companies have braced themselves for attack with a crystal clear written response plan. A high-quality plan will state people’s tasks, who is to be called for assistance, and what lines and protocols on communication will be within the company (such as board notification).

2. Stay up-to-date on current scams

No one wants to click on an email link only to find that the entire company drive has been compromised by a ubiquitous ‘business email interruption’. Ensure all employees are aware of the most current threats so that it can be prevented.

3. Password protect video conferences

“Zoom-bombing” has become so rampant that GCHQ, the UK’s cyber intelligence agency has issued a warning. Recent cases involve unwanted guests shouting profanity and displaying other inappropriate content. Zoom conferences can be protected by not posting the link publicly, making sure a meeting password and only share the meets with those authorised, and locking the meeting once all guests have arrived.

In the global era of business digitalisation, the work from home paradigm is not likely to end anytime soon. Businesses must review their cybersecurity strategies to stay one step ahead of the wrath of cybercriminals.

#datascience #cybersecurity #technology data #datastrategy #cyberattack #internet #security

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Companies can overcome potential cybersecurity threats by using machine learning to identify and stop them from doing damage.

Machine learning is used in data science and uses algorithms of previous datasets to improve a system automatically through experience.

Machine Learning allows data scientists to:

  1. Predict risks based on past exploits and behaviour patterns.

  2. Identify outliers in data automatically.

  3. Productive use of large amounts of data

  4. Find cybersecurity threats using devious data

Implications of machine learning:

This ensures businesses and the wider community are protected from a breach in their systems.

  1. Human intervention is still crucial

  2. Over-reliance on artificial intelligence in cybersecurity can create a false sense of safety

  3. Not everything can be solved with artificial intelligence & data

congentBI can ensure that AI learning supplements and enhances human efforts, rather than replacing them. Machine Learning is is a tool in the toolkit - It’s more essential than ever for businesses bulletproof against cybersecurity attacks.

Is machine learning the most effective way to overcome cybersecurity challenges?

#datascience #cybersecurity #technology data #datastrategy #cyberattack #internet #security

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Malware attacks have become sophisticated than ever and more difficult to detect and fight. Luckily data science is also speeding up.

Data Science is a promising response to the increased risk of cyber attacks in 2020:

  1. Data Acquisition

  2. Periodically revisit and update the enterprise security plan as new knowledge and tools become available.

  3. Awareness, communication and coordination are key to a cybersecurity culture

  4. Security analytics enables data-driven decision making throughout the cycle


Over 85% of data science using business reported a decent decline in security breaches after introducing Big Data analytics into their operations.

Applying the power of Big Data can improve your data-management techniques and cyberthreat-detection mechanisms. Monitoring and improving your approach can bulletproof your business against intruders.

#datascience #cybersecurity #technology #data #datastrategy #cyberattack #internet #security #cybercrime #hacker

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