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CYBER THREAT INTELLIGENCE , 2024
A BENCHMARKING SYSTEM TO SPARK COMPANIES TO ACTION – INNOVATION THAT FUELS NEW DEAL FLOW AND GROWTH PIPELINES
Research Summary
The modern threat landscape has undergone a profound transformation , driven by the global push toward digitalization . This has led to expanded attack surfaces , heightened IT complexity , and increased risks in supply chains . Today , threat actors launch multivector attacks that target organizations ’ internal networks and their external digital assets , such as social media accounts and third-party applications . Consequently , organizations have ramped up their cybersecurity spending and adopted an array of tools to mitigate risks . The efficacy of these measures depends on whether organizations have a deep understanding of the modern threat landscape . conventional TI ecosystem comprises 4 primary areas : cyber threat intelligence ( CTI ), threat intelligence platforms ( TIP ), external attack surface management ( EASM ), and digital risk protection ( DRP ), each serving distinct purposes .
CTI solutions gather data from diverse sources , such as open-source intelligence and the dark web , to provide insights into cyber threats . They offer commercial TI feeds containing indicators of compromise ( IOCs ) and comprehensive intelligence reports . Threat intelligence platforms ( TIP ) offer a collaborative interface to operationalize TI , streamlining data collection , aggregation , and organization .
Actionable threat intelligence ( TI ) plays a pivotal role in cybersecurity , serving as the foundation for informed decisions and a robust security posture . In essence , TI encompasses actionable information about threats targeting an organization . The
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