Published: 08 May 2023
Sole use of historical indicators of compromise or even TTP-based detection models is insufficient to stay ahead of sophisticated attackers. TDIR product leaders should focus on using AI behavioral models to improve threat detection capabilities or prepare to be surpassed by providers that do.
Most security service providers underutilize the power of security analytics to correlate and analyze telemetry across the many available IT channels of visibility. Current security services are heavily focused on detection activities related to indicators of compromise (IOCs) based on virus signatures, common vulnerabilities and exposures (CVE) and tactic, technique and procedure (TTP). These detection methods rely on historical, often out of date and static patterns of attack.
With the growing availability of extended security telemetry, product leaders need to utilize emerging AI capabilities to enhance detection of threats that easily deceive historical detection models.
Security service providers have
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