Threat intelligence should be translated into business-speak to help decision-makers understand the impact of potential threats and incorporate TI into their business strategies.
Without cognitive insights, a security intelligence platform does little to ease the pressure on short-staffed security operations center (SOC) teams to analyze massive volumes of threat data.
According to a recent insider threat report, 60 percent of risk assessments identified users who tried to bypass their employer's security measures using private or anonymous browsing.
Collaborative defense connects an organization's people, processes and technology to deliver improved security through open integrations, threat intelligence sharing and digital transformation.
According to new threat intelligence data, simple threats, such as phishing and drive-by downloads, remain popular among cybercriminals.
Designing a security operations center (SOC) is not as simple as setting and forgetting an SIEM solution. Security leaders must consider human factors, business needs, budgetary constraints and more.
While studies reveal the majority of CTI adopters are dissatisfied with threat intelligence machine learning adoption, there's evidence the adversary is already using algorithms to their advantage.
Organizations with established risk management processes can drive efficiency and improve their overall risk posture by leveraging open source tools.
GDPR's implementation on an issue relevant to the cybersecurity industry may well have negative consequences that (ironically) run contrary to its original intent.
IBM's new Intelligent Orchestration offering enables analysts to streamline their investigations via integrations and incident response playbooks.