The Cyber Defense eMagazine February Edition for 2024

advanced stages of Zero Trust and focus on the overlay pillars: Automation and Orchestration, and
Visibility and Analytics.
These pillars permeate the entire organization and many different IT/IS departments. Building them out
requires having visibility into everything happening in the Zero Trust environment, including all of the
tools, applications and processes in place to protect the five core pillars. Maturing these two overlay
pillars requires new capabilities and technologies like advanced analytics powered by machine learning
and AI as well as identity-centric SIEM, UEBA and SOAR capabilities. The Automation and Orchestration
pillar requires high-fidelity detections combined with rich contextual data, and the ability to dynamically
prioritize events and alerts accurately in order to automate remediations without interrupting legitimate
business processes in the crossfire.
AI can improve SOC team efficiency now – and will improve over time
While the adversaries are busy trying to weaponize AI to achieve their goals, the benefit of AI for
defenders and the Security Operations Center (SOC) team will be more immediate and more significant.
AI will empower SOC analysts with powerful insights into datasets across identity, security, network,
enterprise and cloud platforms. Specifically, it will improve SOC team efficiency and help counter the
ongoing challenges of limited resources and skill sets, overwhelming alert fatigue, false positives and
mis- or unprioritized alerts in the following ways:
• Provide proactive suggestions for detections and threat hunting queries.
• Create new threat content based on recent trends, learnings across customers and industry
verticals to dynamically improve or suggest new ML models, queries, reports and more.
• Auto-triage alerts based on historical triage patterns, investigation notes, types of detection,
relevance, and attack trends to automate and suggest key incident response activities with ease
including creating custom reports, taking bulk actions, and multi-step workflows.
Cybercriminals are already using AI to make their attacks better – and improve the tactics, techniques,
and procedures (TTPs) of attacks. But advanced machine learning models that are trained using
adversarial AI will be able to combat these new attacks. Organizations should invest in quality, mature
ML/AI powered technologies for threat detection and explore how AI can help their SOC teams spend
less time investigating (or chasing false positives) and more time eradicating true threats.
Among companies without an insider threat program, 75% will start to plan, build and budget for
a formal insider threat program, with a majority of that growth coming from the SME (Small and
Medium Enterprise) market
Recent research shows that more than half of organizations have experienced an insider threat in the
past year and 68% are “very concerned” about insider threats as they return to the office or move to
hybrid work. 74% say insider attacks have become more frequent, and 74% say they are moderately
vulnerable or worse to insider attacks. Overall, companies of all sizes are becoming increasingly aware
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