AI presents enormous opportunities for reducing inequalities and promoting inclusivity in developing regions, but its deployment must be guided by ethical practices and a conscious effort to integrate diversity and inclusion at every stage. We must leverage AI responsibly.
Beyond the hype, AI is transforming cybersecurity by automating threat detection, streamlining incident response and predicting attacker behaviors. Organizations are increasingly deploying AI to protect their data, stay ahead of cybercriminals and build more resilient security systems.
For many brands, especially large enterprises with a substantial online presence, it is important to be able to have eyes all over the internet in order to properly mitigate the effects of external elements on their brand’s reputation.
Banks using behavioral-based controls are detecting malicious accounts in 92% of cases before traditional AML and transaction monitoring systems alert the bank.
They’re necessary contributors to the business ecosystem, but there’s risk associated with third-party remote access, including bad actors lurking around every access point.
The costs of hacks are rising, the amount of ransomware is rising, and the number of organizations that have been breached will also rise unless organizations take action.
While Managed EDR can help in many endpoint scenarios, it’s important to be aware that going beyond the endpoint allows MDR and extended detection and response (XDR) to offer broader cybersecurity coverage.
As this technology is automated, it can also scan more accesses because a new rule doesn’t need to be created for each access. You can jump from a 1% audit rate to a 99% audit rate.
Determine how the NIST Framework can fit into your security structure and start taking proactive steps to protect critical assets from rising and evolving threats.
The new Expel Quarterly Threat Report provides even more data on what we’re seeing, detection opportunities, and resilience recs to help protect your organization — now on a quarterly basis.
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