AI & GenAI Security
AI Security Analyst
AI-assisted alert triage, investigation and reporting that removes routine analysis from your team's workload while keeping consequential decisions with named humans.
Triage at machine speed, decisions by humans
Security operations has a volume problem. A mid-sized estate generates far more alerts than any reasonable team can investigate properly, so triage becomes shallow, genuine detections get closed as noise, and analysts burn out doing repetitive work that consumes attention without using judgement.
An AI security analyst absorbs that first layer. It correlates related alerts into single incidents, enriches them with asset and threat-intelligence context, discards the reliably benign, and presents a human analyst with a summarised incident and a recommended course of action.
What it explicitly does not do is act autonomously on consequential decisions. Isolating a production server or disabling an executive's account remains a human call. The value is in eliminating the hours of routine correlation that precede that call, not in removing the person who makes it.
What is included
- Automated correlation of related alerts into single incidents
- Enrichment with asset criticality, user context and threat intelligence
- Plain-language incident summaries instead of raw log excerpts
- Recommended response actions with supporting reasoning
- Automated handling of well-understood, low-risk alert classes
- Escalation to our analysts with full context attached
- Reporting that non-technical stakeholders can actually read
What you get out of it
- Analyst time redirected from triage to investigation
- Fewer genuine detections lost in alert volume
- Faster mean time from detection to response
- Reporting leadership can understand without translation
Where we draw the line on autonomy
We are deliberately conservative about what automation is permitted to do without a human in the loop. Enrichment, correlation, summarisation and closing well-understood false positives are safe to automate, because the cost of an error is low and recoverable.
Containment actions are different. Isolating a machine, disabling an account or blocking a network path can interrupt legitimate business operations, and an automated system acting on an incorrect inference can cause an outage that looks exactly like the attack it was trying to stop. Those decisions stay with a named analyst, working from AI-prepared context.
Where this fits
Your team is drowning in alerts
When volume exceeds capacity, quality of triage falls first and quietly. Automating the routine layer restores the depth of the investigations that matter.
You cannot justify a 24/7 in-house SOC
Most organisations below enterprise scale cannot fund round-the-clock analyst coverage. This narrows the gap considerably, and pairs naturally with our managed detection and response service.
Frequently asked questions
- Does this replace your MDR service?
- No, it strengthens it. Our analysts still monitor and respond; the AI layer means they spend their time on judgement rather than correlation. The human accountability is the point of the service.
- How do you prevent it from missing real threats?
- Automated closure is restricted to alert classes with a well-established benign explanation, and a sampled proportion of those closures is reviewed by a human. Anything ambiguous escalates rather than closes.
- Is our data used to train external models?
- No. Your telemetry is processed to serve your environment and is not contributed to third-party model training.
Ready to move on AI Security Analyst?
We will scope it against your actual environment, not a generic package, and give you a fixed price before any work starts.