Tech
How Can Good Hackers Beat Bad Hackers?
Between 2019 and 2020, the number of successful cybersecurity attacks worldwide has almost doubled from roughly 2,100 to nearly 4,000 data breaches. This has occurred at the same time that the penetration testing (or “Pen Testing”) vertical within the cybersecurity industry has become a multi-billion-dollar market, projected to more than double in size between 2021-2025. With the number of cybercrime incidents rising and with so much at stake in securing our digital information, the question remains, how are successful attacks still rising?
Rapid Digitization Means More Personal Data is Available Online
Twenty years ago, it would have been relatively uncommon for a middle-class home to have more than one computer with internet access, whereas nowadays you would be hard-pressed to find one without an array of technology devices connected to various networks. Because virtually every piece of technology we use in our daily lives is now internet-connected, our personal data is being shared through an increasing number of devices. When those devices and the software and data stored on them is not properly secured, it further adds to the problem of growing cyberattacks.
If a software company hires a cybersecurity consultant to perform Pen Testing services on a new application the company has developed, it may take 2-3 weeks just to get the paperwork in order to conduct the testing, leaving potential vulnerabilities in the software’s data untested and exposed. At the same time, cybersecurity consultants who use scattered software toolkits in their Pen Testing, coupled with human-centric Pen Testing policies, can cost these companies more resources (time and money) in the long run.
Rapid Technological Evolution
Another symptom of rising rates of malicious cyberattacks is the reality that security professionals struggle to match the speed at which our technology, and the data we store in it, evolves. Before IT security professionals can properly secure a new technology that has already been delivered to commercial markets, another newer technology is ready to launch, perpetuating the problem.
Since the onset of COVID-19 last year, more people are using technology to work remotely, adding new challenges for cybersecurity professionals to keep the organizations and people they work with secure. Normally, companies would hire cybersecurity professionals to test their data security, as well as identify, assess, and fill in the gaps found in those defenses. However, the gap between the supply and demand of certified cybersecurity professionals is increasing and there are currently not enough professionals in the industry to perform the amount of testing needed at scale right now.
Beating the Hackers with AI-Backed Pen Testing
The problem of malicious cybersecurity attacks is not linked to a lack of investment in cybersecurity products and services. Rather, the problem arises when these investments are not performing as intended. Every major company and software platform needs cybersecurity testing and we must increase the amount of Pen Testing from certified Pen Testers to help reduce the success of malicious cyber-attacks.
One option is crowdsourcing, where companies bring in a broad amount of hacker expertise from all around the world and test their cybersecurity defense systems. One caution is that this often causes companies to lose control over the process of which defenses are being tested, the methods used in testing, and the frequency of those tests, leaving their data vulnerable to attack.
A second option, one many cybersecurity professionals agree as to the more plausible and advisable one, is to use technology such as Artificial Intelligence (AI) in order to generate algorithms from the process that your Pen Testers perform, allowing for human hackers and AI to complement each other to perform more testing in less time for less cost.
Using this method, companies can secure Pen Testing within 24 hours, rather than waiting 2-3 weeks to file the paperwork traditionally associated with the process. Within 5-6 days, the results are sent to the company’s software developers with recommendations on how to fix any potential threats that were identified. This process makes the entire testing process much easier, faster, more accurate, and more cost-effective for the client. It also allows software development companies to develop at a more rapid pace without sacrificing security, providing additional value to product end-users.
The endgame of cybersecurity professionals is to have a more secure society, but the only way we can achieve this is by including solutions such as AI-backed Pen Testing, allowing security professionals to conduct more tests, more often, in order to generate more accurate results and identify issues that can be fixed proactively, rather than reactively. In using AI-backed Pen Testing processes, companies can ensure that their business’ and their clients’ data are fully protected and remain secure.
Seemant Sehgal is the Founder & CEO of BreachLock Inc. – the world’s first AI-powered full stack and SaaS-enabled Penetration Testing as a Service. Since 2019 BreachLock has quickly emerged as a market disrupter in the traditionally human dependent Penetration Testing market.
Tech
Evo Tech Reveals New Features for Evolution AI to Improve Threat Detection
Byline: Mae Cornes
MADISON, Wis— Evo Tech announced new updates to its flagship platform, Evolution AI, designed to enhance threat detection and real-time data analysis for intelligence, security, and law enforcement agencies. The upgraded system introduces expanded capabilities in pattern recognition, automated alerts, and data aggregation to improve response accuracy in critical operations.
The company’s latest release focuses on enabling faster identification of potential threats across multiple data streams, including text, imagery, and audio inputs. By combining adaptive machine learning models with advanced verification tools, Evolution AI now provides a more precise and scalable method for detecting irregular or suspicious activity.
“Security challenges are growing more complex as data sources multiply,” said Maria Pulera, Evo Tech’s representative. “Our goal with these new features is to help agencies detect threats earlier and reduce the time between data discovery and action. These tools are built to support real-world decision-making in fast-moving environments.”
Among the new enhancements are:
- Automated Threat Classification: The platform can now categorize potential risks based on severity and relevance, allowing analysts to prioritize investigations more effectively.
- Cross-Platform Data Fusion: Evolution AI aggregates data from both structured and unstructured sources, presenting analysts with unified, real-time insights across visual, audio, and textual inputs.
- Adaptive Anomaly Detection: Using machine learning, the platform learns from historical data to recognize unusual activity patterns and flag potential security concerns automatically.
- Enhanced Visualization Tools: New dashboard designs allow users to view correlations, track trends, and monitor data sources simultaneously with improved clarity.
Evo Tech’s development team designed these upgrades to help intelligence and defense organizations address increasing information volume and data fragmentation. According to industry reports, global data generation is expected to exceed 175 zettabytes annually by 2026, underscoring the need for advanced analytical tools that can handle large-scale, multi-format data securely.
Pulera added, “Our technology aims to reduce the manual burden on analysts while maintaining the highest standards of data integrity. We’ve focused on features that allow agencies to operate more efficiently without compromising security.”
The company’s engineering team also confirmed that Evolution AI’s infrastructure supports deployment in secure, private networks, aligning with the data protection requirements of defense and intelligence clients. Evo Tech plans to continue rolling out additional modules throughout 2025, with a focus on multilingual data analysis and predictive threat modeling.
Evo Tech’s latest updates come as governments and private institutions invest heavily in AI-driven security technologies. Market forecasts from MarketsandMarkets estimate that AI in defense and security applications will surpass $13 billion by 2028, reflecting a growing global emphasis on automation and early threat detection.
About Evo Tech
Evo Tech is an artificial intelligence company specializing in data analysis and intelligence automation for security and defense operations. Its flagship platform, Evolution AI, integrates machine learning, big data processing, and adaptive analytics to enhance decision-making in high-volume, high-security environments. The company’s mission is to deliver reliable, real-time solutions that strengthen operational efficiency and intelligence accuracy across the public and private sectors.
Contact Information:
Maria Pulera, Representative
EVO Tech
https://evoai.tech/
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