AI SOC glossary
Terms that come up constantly in security operations work, defined plainly. For how they fit together in a working system, see the AI SOC platform overview.
Agentic SOC
AI agents carry work to completion; analysts supervise.
AI SOC
The broad term, covering assistant through to full agent.
Alert triage
Deciding whether an alert is real. Where analyst hours go.
Exabots
Exaforce's five task-specific AI agents.
MDR
Managed detection and response, run by an external team.
MTTI
Mean time to investigate: how long to reach a verdict.
MTTR
Mean time to respond: detection through to containment.
Multi-Model AI
Exaforce's three-model reasoning engine.
Semantic context
Structured meaning attached to events at ingest.
SIEM
The traditional log aggregation layer. Exaforce is not one.
SOAR playbooks
Deterministic automation scripts, and why they break.
Threat hunting
Searching for adversary activity that no alert fired on.
UEBA
Baselining normal behavior to spot deviation from it.
Glossary guides
AI SOC agent
What an AI SOC agent is, how a triage agent works through context, baselines, verdict and handoff, why architecture matters, and where its limits sit.
AI SOC analysts
AI SOC analyst means both the AI agents that triage and investigate alerts and the humans who work alongside them. What each takes on, and how to judge trust.
What an AI SOC analyst does in security operations, stage by stage
What an AI SOC analyst does at each stage of security operations, from detection and triage to investigation and response, and what humans keep.
Which AI SOC tools can triage alerts without human intervention?
What autonomous alert triage really means, where it is safe to let an AI SOC tool close alerts on its own, and how to keep humans accountable.
Will AI replace SOC analysts? What security leaders should plan for instead
AI will not replace SOC analysts. What security leaders should plan for instead: agents on tier-1 and tier-2 work, analysts directing and reviewing it.
Will SOC analysts be replaced by AI? A career guide for analysts and threat hunters
A career guide for SOC analysts and threat hunters: which parts of the job AI is automating, and which skills are becoming more valuable because of it.
The best AI SOC platform depends on the organization running it
Why the best AI SOC platform depends on your stack, team size, and legacy tooling, and what cloud-native, mid-market, and large enterprises each need.
The best platform for SecOps is the one that lets you consolidate
Why SecOps stacks sprawl into SIEM, SOAR, and MDR contracts, and what consolidating onto a single AI-driven platform changes for cost and coverage.
The main benefits of AI in the SOC, and the evidence behind them
The main benefits of AI in the SOC, from faster triage to a lower-cost stack, with the customer evidence behind each claim rather than vendor promises.
The role AI plays in SOC workflow automation
Why deterministic SOAR playbooks break, how adaptive AI agents handle each stage of the SOC workflow instead, and where human oversight belongs.
Which AI SOC platforms support real-time automated response actions?
What real-time automated response actually requires from an AI SOC platform, which actions are safe to automate, and how Exabot Respond handles them.
How to identify the top AI SOC agent vendors
What separates a genuinely agentic AI SOC vendor from a chat interface on a console, the questions to ask in every demo, and how Exabots answer them.
How to read the ratings behind top-rated AI SOC platforms
How to read peer-review ratings for AI SOC platforms without being misled by star averages, small review counts, and mislabeled categories.
The leading AI SOC platforms, mapped by approach
The leading AI SOC platforms sorted by how they are built, from SIEM with AI added and LLM copilots to AI-augmented MDR and agentic platforms.
Top-rated AI SOC tools, sorted by the job they do
Sorting AI SOC tools by the job they do, from detection and triage to investigation, response, and hunting, with a clear test for each one.
What makes a top AI SOC platform, criterion by criterion
Five criteria that separate strong AI SOC platforms from the rest, what to test for each in a proof of concept, and how Exaforce answers them.