The current global public health crisis has resulted in a massive increase in the amount of data being produced in the world, and therefore, the amount of data that Echosec Systems is processing.
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Machine learning has a wide range of applications across many industries—and cybersecurity is no exception. In fact, the market for artificial intelligence (AI) in cybersecurity is expected to reach USD $38.2 billion by 2026.
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Investing in business risk intelligence (BRI) has its challenges. Companies are often confronted with budget or staffing constraints when it comes to supporting a robust program—and proponents of upgrading a business risk intelligence strategy can be faced with convincing stakeholders of its value.
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The term open-source intelligence (OSINT) has been used for decades, usually in the context of defence and intelligence communities. Online networks—from social media platforms to covert dark web forums—have become critical OSINT sources for locating security risks, investigating threats, and evaluating public sentiments.
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Organizations face a 29.6% chance of experiencing a data breach in the next 2 years. These are the odds that no one can afford to overlook, especially as cyber criminals are expanding their efforts to leverage real-world incidents, like the COVID-19 pandemic, as external attack vectors.
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One needs only to visit the cleaning supplies aisle of their local retailer in recent weeks to see the impacts of a global crisis on supply chains.
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Even the most security-savvy companies are still at risk for cyber attacks. Where does that leave organizations that lack cybersecurity resources and oversight?
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At the time of writing this article, the world is dealing head-on with the global COVID-19 pandemic. Governments are scrambling to keep up with the situation using real-world data and information. Cyber adversaries—some backed by nation-states—are also weaponizing the illness to target governments, citizens, and their data.
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