Vice President, Global Defense Cybersecurity
Every month, security teams face tens of thousands of alerts that stretch not only their best analysts, but the capacity and capabilities of the modern SOC:
27 seconds
the fastest observed breakout on record
29 minutes
average eCrime breakout time in 2025
70 minutes
the average mean time to investigate an incident
56 minutes
the average dwell time from when an alert is detected to when it is acted on
61%
of security teams admit to ignoring alerts that later proved to be critical incidents
40%
of security alerts go uninvestigated
These numbers reflect a volume problem, not a talent problem. Threat complexity and telemetry have scaled faster than staffing ever could, considering:
Alert backlogs create operational blind spots
High-impact threats hide inside high-volume noise
Scaling through headcount alone isn’t fiscally sustainable
So, how should the modern SOC respond? And how do we support our best cybersecurity talent and put them in the position to succeed?
Agentic AI, and the deployment of the agentic SOC, closes the gap without sacrificing human oversight.
Agentic AI Cybersecurity: The Path Forward
Agentic AI and the AI SOC analyst are the future of SOC modernization and will allow federal leaders to move on from traditional SOAR-based, automated models to one that can meet today’s advanced cybersecurity challenges.
However, let’s cover a few frequently asked questions regarding agentic AI and SOC modernization in the federal space:
What is an agentic SOC?
An agentic SOC uses AI agents that reason through investigations and adapt in real time, rather than executing only fixed, rule-based playbooks like traditional security orchestration, automation, and response (SOAR) models.
How is an AI SOC analyst different from SOAR?
SOAR automates enrichment and predefined response actions. An AI SOC analyst goes further: independently investigating alerts, drawing conclusions, and safely closing benign cases with a documented rationale.
Is agentic AI cybersecurity safe for federal security operations?
Yes, when deployed with human-in-the-loop validation and full auditability. The approach here operates inside existing governance and ATO frameworks rather than introducing new risk.
What does SOC modernization look like in practice?
A phased maturity model: starting with investigation tuning, moving to enrichment validation, and only enabling automated alert closure once accuracy is proven at each stage.
From SOC Automation to Agentic SOC
Rule-based SOC automation, like SOAR platforms and static playbooks, was a real step forward. It could enrich alerts and execute defined response actions.
But it hit a ceiling. It couldn’t reason through a complex investigation or safely determine an alert was benign and close it on its own.
An agentic SOC model closes that gap. Instead of following fixed rules, an AI SOC analyst reasons through context, adapts its investigation path, and learns from every outcome. It’s the next stage of SOC modernization, not a replacement for the automation already in place.
What an AI SOC Analyst Actually Does
What SOC Modernization Can Deliver
Through agentic AI, SOC modernization can deliver significant cybersecurity results, including:
An up to
70%
auto-resolution rate —
Benign alerts closed
autonomously, with full
investigative records retained
Minutes,
not hours,
mean time to triage, from ingestion to disposition
1000s
of alerts
absorbed per
month
freeing analyst capacity for higher-value work
Zero
backlog
meaning every alert is investigated as it arrives, at any volume
Agentic AI Cybersecurity Built for Federal Governance
For federal leaders, the technology is only half the question. The other half is governance.
Every automated action is logged and traceable, mapped to internal security protocols
Analysts continuously validate AI SOC analyst outputs through a structured feedback loop
The platform operates within existing governance, identity, and ATO frameworks, not around them
Agentic AI cybersecurity done right doesn’t trade control for speed. It delivers both.
The Bottom Line
Agentic AI cybersecurity doesn’t replace analysts. It absorbs the volume that was burying them, so the modern SOC can focus on the threats that matter.
Interested in learning more about how agentic AI can modernize your approach to cybersecurity?
