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Our partner Springboard, which provides online courses to help you advance your cybersecurity career with personalized mentorship from industry experts, recently researched current cybersecurity salaries and future earning potential in order to trace a path to how much money you can make. Here's what they found were the most important factors for making sure you earn as much as possible: 1) Choosing the right type of cybersecurity role and building your skill set The cybersecurity role you're in clearly makes a difference: the average salary for penetration testers is $55,000 according to U.S. data from Glassdoor. But cybersecurity engineers should expect to earn about $140,000—and engineers have a more natural path to becoming architects, who can earn even more. Cybersecurity analysts are somewhere in between, averaging about $80,000 a year. Of course, becoming a cybersecurity engineer requires more skills and experience than becoming a penetration tester, but you

A significant challenge within cyber security at present is that there are a lot of risk management platforms available in the market, but only some deal with cyber risks in a very good way. The majority will shout alerts at the customer as and when they become apparent and cause great stress in the process. The issue being that by using a reactive, rather than proactive approach, many risks just sit there, dormant, until an emergency happens.  'Dealing with SOC Operations for more than a decade, I have seen nearly 60 percent of SOC Incidents are repeat findings that keep re-surfacing due to underlying unmitigated Risks. Here the actors may be different, however the risk is mostly the same. This is causing significant alert fatigue.' – Deodatta Wandhekar, Head of Global SOC, SecurityHQ. Combining Frameworks and Best Practices These risks can be prevented. A platform that combines the best practices of multiple frameworks is the solution to tackle this issue.  What is NIST?

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short time befo

Not all security teams are born equal. Each organization has a different objective. In cybersecurity, adopting a proactive approach is not just a buzzword. It actually is what makes the difference between staying behind attackers and getting ahead of them. And the solutions to do that do exist! Most attacks succeed by taking advantage of common failures in their target's systems. Whether new or not, known, unknown, or even unknown, attacks leverage security gaps such as  unpatched or uncharted vulnerabilities, misconfigurations, out-of-date systems, expired certificates, human errors, etc. As attackers rely on a range of automated offensive testing tools to scan their targets' attack surfaces and propagate inside their network, a purely reactive defensive stance based on detection and response is increasingly likely to be overwhelmed by an attack. The logical tactical move is to emulate attackers' TTPs and behaviors beforehand by integrating attack simulation tools to

Threat intelligence refers to gathering, processing, and analyzing cyber threats, along with proactive defensive measures aimed at strengthening security. It enables organizations to gain a comprehensive insight into historical, present, and anticipated threats, providing context about the constantly evolving threat landscape. Importance of threat intelligence in the cybersecurity ecosystem Threat intelligence is a crucial part of any cybersecurity ecosystem. A robust cyber threat intelligence program helps organizations identify, analyze, and prevent security breaches. Threat intelligence is important to modern cyber security practice for several reasons: Proactive defense:  Organizations can enhance their overall cyber resilience by integrating threat intelligence into security practices to address the specific threats and risks that are relevant to their industry, geolocation, or technology stack. Threat intelligence allows organizations to identify potential threats in advanc

The U.S. government and its key allies, including the European Union, the U.K., and NATO, formally attributed the massive cyberattack against Microsoft Exchange email servers to state-sponsored hacking crews working affiliated with the People's Republic of China's Ministry of State Security (MSS). In a  statement  issued by the White House on Monday, the administration said, "with a high degree of confidence that malicious cyber actors affiliated with PRC's MSS conducted cyber-espionage operations utilizing the zero-day vulnerabilities in Microsoft Exchange Server disclosed in early March 2021. The U.K. government  accused  Beijing of a "pervasive pattern of hacking" and "systemic cyber sabotage." The  sweeping espionage campaign  exploited four previously undiscovered vulnerabilities in Microsoft Exchange software and is believed to have hit at least 30,000 organizations in the U.S. and hundreds of thousands more worldwide. Microsoft identified

A  new State of SaaS Security Posture Management Report  from SaaS cybersecurity provider  AppOmni  indicates that Cybersecurity, IT, and business leaders alike recognize SaaS cybersecurity as an increasingly important part of the cyber threat landscape. And at first glance, respondents appear generally optimistic about their SaaS cybersecurity. Over 600 IT, cybersecurity, and business leaders at companies between 500-2,500+ employees were surveyed and responded with confidence in their SaaS cybersecurity preparedness and capabilities. For example: When asked to rate the SaaS cybersecurity maturity level of their organizations, 71% noted that their organizations' SaaS cybersecurity maturity has achieved either a mid-high level (43%) or the highest level (28%). For the security levels of the SaaS applications authorized for use in their organization, sentiment was similarly high. Seventy-three percent rated SaaS application security as mid-high (41%) or the highest maturity level (

Many enterprises rely on more than one security tool to protect their technology assets, devices, and networks. This is particularly true for organizations that use hybrid systems or a combination of cloud and local applications. Likewise, companies whose networks include a multitude of smartphones and IoT devices are likely to deploy multiple security solutions suitable for different scenarios. Employing several security solutions tends to be inevitable for many, especially those that have outgrown their previous network setups. Companies that expand to new branches and even overseas operations have to make use of additional security measures and tools. This use of multiple tools or software often leads to critical issues, though. The management of the many cybersecurity solutions can become too complicated and difficult to handle, especially for organizations with little experience in addressing cyber threats, let alone actual attacks. This can result in confusion and the inabilit

The landscape of cybersecurity in financial services is undergoing a rapid transformation. Cybercriminals are exploiting advanced technologies and methodologies, making traditional security measures obsolete. The challenges are compounded for community banks that must safeguard sensitive financial data against the same level of sophisticated threats as larger institutions, but often with more limited resources. The FinServ Threat Landscape Recent trends show an alarming increase in sophisticated cyber-attacks. Cybercriminals now deploy advanced techniques like deep fake technology and AI-powered attacks, making it increasingly difficult for banks to differentiate between legitimate and malicious activities. These developments necessitate a shift towards more sophisticated and adaptive cybersecurity measures. Take these industry statistics, for example. Financial firms report 703 cyberattack attempts per week.1 On average, 270 attacks (entailing unauthorized access of data, appl

Pentesting and vulnerability scanning are often confused for the same service. The problem is, business owners often use one when they really need the other. Let's dive in and explain the differences. People frequently confuse penetration testing and vulnerability scanning, and it's easy to see why. Both look for weaknesses in your IT infrastructure by exploring your systems in the same way an actual hacker would. However, there is a very important distinction between the two - and when each is the better option. Manual or automated? Penetration testing is a  manual  security assessment where cyber security professional attempts to find a way to break into your systems. It's a hands-on, in-depth test to evaluate security controls across a variety of systems, including web application, network and cloud environments. This kind of testing could take several weeks to complete, and due to its complexity and cost, is commonly carried out once a year. Vulnerability scanning,