Security operations aren’t short of tools, they’re short of clarity, speed, and proof of outcomes. As alerts multiply and attackers automate, rule-heavy SOCs struggle to distinguish signal from noise and to demonstrate that response actions actually worked. TLM 2.0 (Threat Lifecycle Management 2.0) offers a practical reset: design a closed loop that connects high-quality detection to streamlined investigation, right-sized automation, and evidence-backed validation—so every incident moves from “flagged” to “fixed and verified.”

In this webinar, presented by Exabeam, in association with ETCISO, we unpack how leading teams operationalize TLM 2.0 using AI/UEBA to risk-score identities, sessions, and assets; normalize diverse telemetry (identity, endpoint, network, SaaS, and cloud); and orchestrate repeatable playbooks that shrink MTTR without creating brittle, over-automated workflows.

Expect candid discussion on what really improves outcomes: better data quality, identity-centric context, “human-in-the-loop” automation, and metrics that matter (dwell time, investigation time, revisit rate), plus how to make these auditable for regulators and boards under frameworks like India’s DPDP Act.

What you’ll learn

• Design a closed loop : From detection ? investigation ? response ? evidence-backed validation
• AI/UEBA that works : Risk-scoring identities, sessions, and assets to cut false positives
• Telemetry that matters : Normalizing logs, identity context, and SaaS data for stronger signals
• Automating investigations : Playbooks that accelerate triage and shorten MTTR
• Metrics that stick : Dwell time, investigation time, revisit rate—not just alert counts
• Controls & compliance : Auditable workflows aligned to enterprise and regulatory needs