AI Cybersecurity
Contained in minutes. Not discovered in months.
Security operations that read every signal, dismiss the noise with evidence, and contain real threats before your analysts finish their coffee — without ever taking an irreversible action on its own.
- Alert noise cleared before human review
- 92%Alert noise cleared before human review
- Mean time to contain
- 2.8 minMean time to contain
- Events processed per day
- 340MEvents processed per day
- Autonomous actions without an audit record
- 0Autonomous actions without an audit record
Threat surface
Autonomous response- Impossible travel · finance SSOdetected → resolved in 00:41Contained
- Token replay from unmanaged hostdetected → resolved in 02:07Contained
- Privilege escalation attemptdetected → resolved in 04:15Investigating
- Anomalous S3 egress volumedetected → resolved in 06:52Watching
Mean time to contain: under 3 minutes, day or night.
The problem
Your analysts are not short of alerts. They are short of conclusions.
A mid-sized estate generates tens of thousands of alerts a month. Most are benign, and proving that consumes the exact people you hired to catch the ones that are not. So the queue grows, dwell time stretches, and the alert that mattered gets closed at 4pm on a Friday because it looked like the other four hundred.
What it costs you
- Analysts spending 70% of their time proving things are fine
- Alert fatigue leading to genuine detections being closed unread
- Mean time to contain measured in hours or days, not minutes
- No consistent evidence trail when the regulator asks
- Tooling that detects well and responds not at all
What we build
The parts that make it survive production.
Every engagement includes all of this. None of it is an upgrade tier.
Signal correlation
Identity, endpoint, network, cloud and SaaS telemetry joined into one timeline per entity, so a weak signal in four places becomes one strong case.
Autonomous triage
Agents gather the context an analyst would, reach a conclusion, and write the case up — including why they dismissed what they dismissed.
Behavioural detection
Baselines per identity and workload, so impossible travel, privilege drift and anomalous egress surface without a signature existing first.
Graded response
Reversible containment — session revocation, token invalidation, host isolation — executed automatically. Destructive actions always require a human.
Identity threat detection
The attack path that actually gets used. Token theft, consent phishing, MFA fatigue and service-principal abuse monitored continuously.
Cloud posture
Continuous configuration assessment across AWS, Azure and GCP with drift detection and prioritisation by real exploitability, not CVSS alone.
Compliance evidence
SOC 2, ISO 27001, HIPAA and PCI artefacts collected continuously and indexed, so audits stop being a project.
Adversarial testing
We attack what we build, including the AI itself — prompt injection, tool abuse and data exfiltration paths through your own agents.
Where it pays
Real workloads. Real numbers.
Results are drawn from production engagements and measured against a pre-engagement baseline.
Phishing response
Reported message analysed, related deliveries found across every mailbox, malicious links neutralised and sessions revoked for anyone who clicked.
Full campaign contained in under 4 minutes
Compromised credentials
Anomalous authentication correlated with device and geography, sessions killed, tokens revoked and the account routed for verified reset.
Dwell time from 9 hours to 41 seconds
Insider risk
Unusual access patterns and bulk egress detected against a per-user baseline, with HR and legal escalation paths built into the workflow.
3 material incidents caught pre-exfiltration
Cloud misconfiguration
Public exposure, over-permissive roles and unencrypted stores found, prioritised by reachability and fixed through pull requests.
Critical findings down 88% in one quarter
Vulnerability triage
Scanner output correlated with runtime reachability and asset criticality, so your team patches the 4% that can actually be exploited.
Patch effort reduced 76% at equal risk
Audit readiness
Continuous control evidence with gap alerts, replacing the quarterly scramble to reassemble a year of screenshots.
SOC 2 evidence prep from 6 weeks to 4 days
How it runs
From first conversation to running system.
- 01Stage 1
Understand the estate
Telemetry inventory, detection coverage assessment against MITRE ATT&CK, and an honest read on where you are blind.
2 weeks
- 02Stage 2
Tune before you automate
Noise reduction first. Automating a queue that is 90% false positive just automates the wrong conclusion faster.
2–3 weeks
- 03Stage 3
Deploy graded response
Autonomous triage, then reversible containment inside an agreed boundary. Destructive actions stay behind human approval permanently.
4–8 weeks
- 04Stage 4
Operate and adapt
Detection engineering against new techniques, purple-team validation, and quarterly reporting your board can read.
Ongoing
Technology
Chosen by evaluation, not by preference.
We build on what fits your constraints and what your team can maintain. Nothing here locks you in.
- Your repositories, your cloud account, your licence
- No proprietary runtime you have to keep paying for
- Documentation written for the engineer who inherits it
Detection & response
- Microsoft Sentinel
- CrowdStrike
- SentinelOne
- Splunk
- Elastic Security
- Wazuh
Identity
- Entra ID
- Okta
- Ping
- AWS IAM Identity Center
- CyberArk
- HashiCorp Vault
Cloud security
- AWS Security Hub
- Azure Defender
- GCP SCC
- Wiz
- Prowler
- Terraform policy as code
Frameworks
- MITRE ATT&CK
- NIST CSF 2.0
- ISO 27001
- SOC 2
- CIS Benchmarks
- OWASP LLM Top 10
How we price it
Three ways in. A stop point at each one.
Security work is priced by estate size and telemetry volume, never by seat. We publish the containment actions we are permitted to take autonomously before you sign anything.
Assessment
Fixed price · 2–3 weeks
Detection coverage mapped to ATT&CK, response readiness tested, and a prioritised remediation plan you can execute with or without us.
- Telemetry and coverage audit
- ATT&CK gap analysis
- Tabletop response exercise
- Prioritised remediation roadmap
Autonomous SOC build
Fixed scope · 10–16 weeks
Correlation, autonomous triage and graded containment deployed into your existing tooling, tuned against your real alert history.
- Signal correlation across your estate
- Autonomous triage agents
- Reversible containment playbooks
- Analyst console and case management
- Purple-team validation before go-live
Managed detection
Monthly · 24/7
Our engineers operating your detection and response alongside the automation, with named humans you can call at 3am.
- 24/7 monitoring and escalation
- Continuous detection engineering
- Monthly threat-hunt cycles
- Quarterly board-level reporting
- Incident response retainer included
Questions
What buyers ask about ai cybersecurity
Direct answers, including the ones that are inconvenient for us.
Still deciding?
Send the question to a senior engineer instead of a form. You will get a straight answer, and a no if that is the honest one.
It cannot. The containment actions available to automation are limited to reversible ones — revoke a session, invalidate a token, isolate a host, disable a key. Anything destructive or service-affecting requires named human approval. That boundary is written into the deployment agreement and enforced in code, not left to configuration.
Because those tools detect well and respond poorly. They produce alerts; they do not produce conclusions. We sit on top of what you own, correlate across it, and do the investigative work your analysts currently do by hand. In most engagements we reduce tool spend rather than add to it, by making the existing licences finally earn their keep.
We treat it as one. Agents run with scoped, short-lived credentials. Tool inputs are validated and outputs are constrained. We test against the OWASP LLM Top 10 — prompt injection, tool abuse, excessive agency, data leakage — and we run those tests continuously, not once at launch. Anything our own agents can do, we have already tried to make them do maliciously.
Graded response exists for exactly this. High-confidence, low-impact actions execute immediately. Anything with user impact requires a confidence threshold plus a policy match, and the most disruptive actions require a human. We tune against your historical alert data first, so we know the false-positive rate before automation touches production.
Yes, and we frequently do. We handle the automation and detection engineering layer while your MSSP retains monitoring, or we take the whole function. What we will not do is duplicate their work silently — the split of responsibility gets documented before we start.
Correlation and triage typically reach production in six to ten weeks. Autonomous containment follows once we have several weeks of measured triage accuracy behind it. Anyone offering autonomous response in week two has not tuned it against your data.
Start the conversation
Bring us the ai cybersecurity problem you have already tried to solve.
Ninety minutes with our engineers. You leave with a systems map, a shortlist and an honest read on whether this is worth doing at all.
What to expect
- No pitch deck, no obligation
- Senior engineers in the room
- A written plan within five days
Prefer email?
support@cyberxsolutions.us