As threat actors continuously challenge the cyber defences of organizations, companies are increasingly forced to focus on improving cybersecurity practices. However, even the best cybersecurity teams with the largest budgets find it hard to stay ahead of the evolving threat landscape. And with more technology in use, a growing reliance on cloud storage and the Internet of Things (IoT), there is a growing potential for sensitive data to be exposed to threats.
As such it’s unsurprising that data breaches, in spite of increased cybersecurity spending, are becoming more common and more expensive to deal with. Employees need intelligent security practices and cyber habits and companies need to be armed with the latest technology and tools for early data breach detection to gain the upper hand when combatting this ever-changing threat.
Data Breaches Need to be Caught Early
The average cost of a data breach in 2020 according to the IBM / Ponemon Institute report was $3.86 million. However, there are plenty of examples where the costs have vastly exceeded this average, escalating into the hundreds of millions or even billions. For example, the Equifax data breach in 2017 cost Equifax $1.7 billion in the end. Another high profile example, Facebook eventually settled on a fine of $5 billion after it’s ‘privacy misstep’ involving Cambridge Analytica. This bill doesn’t include the additional costs and expenses that Facebook has accrued in the development and expansion of their cybersecurity and privacy departments nor does it account for the reputational damage it suffered.
While costs of these extremes are rare, data breaches in general are not. The IBM report goes on to analyse particular subsets of the data noting that the worst impacted is healthcare with an average data breach cost exceeding $7 million. And that the average time taken for an organization to identify and contain a data breach, was an astonishing 280 days, over 9 months. This is in spite of significant evidence that the speed of containment has a significant impact on the overall data beach cost, which if left unchecked can linger for years after the incident.
How to Prevent Data Breaches
As with many of these things prevention is often the best policy.
Data Breach Prevention #1: Have Clear Security Protocols
Every employee should know, understand and be able to abide by strict security protocols to keep company data secure and thwart social engineering tactics. Having protocols is one of the best ways to help prevent data theft by ensuring unauthorized personnel do not have access to data.
Data Breach Prevention #2: Safeguard Against Human Error
Many data breaches are the result of an employee error. This could be anything from downloading a document off of an illegitimate website, social engineering tactics or even outright blackmail. Employees should only have access to the information that is vital to their particular roles within the company. Those with higher level access should accordingly have higher levels of cyber security training and understanding.
Data Breach Prevention #3: Improved Password Protection
Having strong unique passwords is the first line of defence against any cyberattack. However, nobody, whether they are a high level executive not, is going to be able to remember a dozen or more 12 character passwords that use special characters, letters and numbers. Make sure that 2FA is enabled on all logins, and use a password manager (with 2FA enabled) to auto generate and save complex passwords and ensure the highest levels of password security are enabled.
Data Breach Prevention #4: Update Security Software Regularly
Companies should utilize a high quality antivirus software, anti-spyware program and firewall. Additionally, these programs should be regularly updated to keep them free from vulnerabilities.
Data Breach Prevention #5:OSINT for Dark Web Forums
By monitoring dark web forums and other chat rooms you can learn of planned attacks, potential exploits and even find exploit kits being sold online. This will give you a good indication of the access methods which have been discovered allowing you to implement a patch quickly to prevent it.
The Tools for Early Detection of Data Breaches: LERTR
Having the right tools is vital if an organization wants to prevent or mitigate the threat of data breaches. Using an OSINT platform like Signal allows security teams to efficiently monitor the surface, deep, and dark web for details or indications of potential and past data beaches. For example, you might find exploit kits targeting a vulnerability specific to your company. This would allow you to prepare a patch for this vulnerability before it was exploited.
Additionally, hackers might discuss strategies or plans around an upcoming data breach attempt on a dark web forum. Forewarned, you have a better chance of catching and preventing the attempt. However, prevention isn’t always possible. For those scenarios where you do face a data breach you want to discover it as quickly as possible to mitigate the potential damage and limit the costs.
To this end we have integrated with Webhose to advance our early data breach detection capabilities. Additionally, we have launched LERTR, a cyber specific OSINT platform. aa
Automate Intelligence
With powerful tools at hand you can spend less time searching data and more time planning and implementing responses.
Be the first to Know
Defend against future attacks with relevant actionable intel. And be the first to know about compromised data, control damages.
Better Risk Protection
With improved risk protection you will be the first to know if an event that threatens your brand occurs enabling you to stay ahead.
Final Words
Data breaches are increasingly common and expensive. Effective preventative measures need to be put in place and maintained to limit threats. However, even the best defences can fall to a determined threat actor. As such organizations needs to ensure they have all the tools to not only prevent, but also to detect early and contain data breaches quickly should one occur.
Signal is a powerful OSINT tool which allows users to create searches using boolean logic enhanced with NLP, with which security teams can efficiently monitor online activity to detect threats as or even before they emerge.
