The security team's core problem
Security teams are perpetually understaffed and overwhelmed with data: alerts, vulnerabilities, configurations and logs far exceed any team's capacity to review manually. The result is that important signals get missed and tedious work crowds out high-value analysis.
AI helps by absorbing the high-volume, interpretation-heavy work, letting scarce human expertise focus where judgment genuinely matters.
High-value applications today
- Alert triage: summarizing and prioritizing alerts to cut noise
- Configuration review: interpreting firewall and system configs for risk
- Log analysis: surfacing meaningful patterns from huge log volumes
- Phishing and content analysis: flagging suspicious messages at scale
- Knowledge assistance: answering questions and drafting documentation
- Remediation guidance: turning findings into specific, actionable fixes
Where AI shines: firewall and config review
Configuration review is one of the clearest wins. It is tedious, requires interpreting large structured data, and is exactly the kind of work that does not get done consistently by hand. AI can review a firewall configuration thoroughly in minutes and explain its findings clearly.
FirewallScan is a concrete example: it applies AI to FortiGate configuration review, giving small teams the firewall-review capability of a much larger security function.
Using AI responsibly
AI is an amplifier of expertise, not a replacement for it. The most successful teams use AI to handle scale and tedium while keeping humans in control of decisions, and they prefer purpose-built tools grounded in their domain over generic models for sensitive work.
They also mind data handling: for sensitive inputs like firewall configurations, EU-first and self-hostable options keep data under control while still capturing AI's benefits.