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# Meet Instant Attack Verification: Agentic AI for Tier-1 and Tier-2 SOC investigation

**[Cisco](https://daily.dev/sources/cisco)** · 5 min read · 1 upvotes · 0 comments

## Summary

Cisco introduces Instant Attack Verification, an agentic AI capability inside Cisco XDR that performs tier-1 triage and tier-2 investigation of security alerts—gathering evidence, reasoning over logs, scoring confidence, reconstructing attack timelines, and recommending containment, all with full evidence trails. The piece frames success metrics (automation rate vs. concordance, precision/recall, false negatives) and stresses guardrails: adversarial safety (treating evidence as untrusted data) and human-in-the-loop oversight for consequential actions. It also positions this capability atop the Cisco Data Fabric (powered by Splunk Platform, generally available since August 2026), which provides federated search, a machine data lake, a catalog, AI Canvas, and an MCP server for interoperability across data sources like S3, Azure, Snowflake, and Databricks.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blogs.cisco.com/security/meet-instant-attack-verification-agentic-ai-for-tier-1-and-tier-2-soc-investigation>

## Questions this post answers

### What is Cisco's Instant Attack Verification and what does it do in a SOC?

Instant Attack Verification is a Cisco XDR capability functioning as an AI security analyst that performs both tier-1 triage and tier-2 investigation. It ingests every detection, enriches alerts with context, filters false positives, correlates evidence across endpoint, network, cloud, and identity data, reconstructs incident timelines and graphs, classifies incidents, and recommends containment and hardening steps with a full evidence trail.

_For teams weighing AI-assisted SOC tooling against manual triage, daily.dev surfaces ongoing coverage of security automation approaches._

### What metrics should be used to measure the success of an AI SOC analyst?

Success centers on automation rate (share of alerts handled without a human) balanced against concordance (how often the AI verdict matches a human analyst), since automation should never outpace trust. Underlying that are precision, recall, and false negative rate, plus operational metrics like time-to-investigate, throughput, and reliability, with economics calculated from investigation cost savings minus oversight and monitoring costs.

_Anyone evaluating agentic security tools can track these framing metrics via daily.dev's security coverage before committing budget._

### What is Cisco Data Fabric and how does it relate to AI security agents?

Cisco Data Fabric is an architecture, not a product, powered by the Splunk Platform and generally available since August 2026, designed to let people and AI agents reach and act on data safely across domains. It includes Federated Search for accessing data across S3, Azure, Snowflake, and Databricks without bespoke connectors, a Machine Data Lake for durable retention, a Catalog for data discovery, AI Canvas for investigations, and the Splunk MCP Server for agent interoperability.

_Developers architecting agentic data access layers can follow data fabric and MCP developments through daily.dev._

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---

Tags: [#logging](https://daily.dev/tags/logging), [#cisco](https://daily.dev/tags/cisco), [#agentic-ai](https://daily.dev/tags/agentic-ai)

[View this post on daily.dev](https://daily.dev/posts/meet-instant-attack-verification-agentic-ai-for-tier-1-and-tier-2-soc-investigation-nfqqvludx)

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