We attack your systems with AI, so attackers don't get to.
Apollo Technology Services LLC is a cybersecurity firm built around artificial intelligence. We use machine-driven reconnaissance, automated adversary emulation and model-assisted analysis to find weaknesses faster and deeper than manual testing alone — and we secure the AI systems you are already deploying.
Engagements are scoped under written authorisation with defined rules of engagement. We test systems you own or are explicitly authorised to test.
Security services
Full-spectrum assessment and defence, delivered by a team that treats artificial intelligence as core tooling rather than an add-on.
Penetration Testing
Application, API, network, cloud and infrastructure testing against real attacker tradecraft — with reproducible evidence and prioritised remediation.
Red Team & Adversary Emulation
Objective-based campaigns that emulate the adversaries relevant to your sector, testing detection and response — not just whether a door is unlocked.
AI & LLM Security
Direct and indirect prompt injection, model abuse, agent and tool-call exploitation, training-data leakage and guardrail bypass — tested and hardened.
Threat Detection & Monitoring
Telemetry pipelines and model-driven anomaly detection that surface real signal, with alert triage tuned to cut analyst fatigue.
Incident Response
Containment, forensic analysis, root-cause determination and recovery — run against a rehearsed plan rather than improvised under pressure.
Cloud & Application Security
Identity and access design, secrets management, infrastructure-as-code review, dependency and supply-chain analysis, and secure development practice.
How we use AI in cybersecurity
Artificial intelligence changes both sides of the fight. We apply it across the entire security lifecycle — and we treat the models themselves as attack surface.
Automated Reconnaissance
Agents continuously map external attack surface, enumerate services and track changes, so assessment starts from a complete picture instead of a snapshot.
Model-Assisted Analysis
Large language models accelerate review of source, configuration and logs — surfacing weak patterns for a human analyst to confirm and exploit.
Adaptive Test Generation
Fuzzing and payload mutation guided by models, producing test cases that adapt to application responses rather than replaying a static list.
Anomaly Detection at Scale
Behavioural baselines and unsupervised detection over high-volume telemetry, where signature-based rules alone would drown in noise.
Alert Triage & Prioritisation
Automated enrichment and first-pass triage so human analysts spend their time on events that actually matter.
Defending the Models Themselves
Systems using AI inherit a new class of vulnerability. We test and harden LLM integrations, agents and retrieval pipelines before someone else does.
Our approach
A repeatable engagement model, so findings are consistent, evidence-backed and verifiably fixed.
Scope & authorisation
Written authorisation, defined targets, rules of engagement, escalation paths and legal boundaries agreed before any testing begins.
Reconnaissance & mapping
Asset discovery, attack-surface mapping and threat modelling against the adversaries that realistically target you.
Assessment & exploitation
Testing to a demonstrated impact, with each finding reproduced and evidenced rather than reported on scanner output alone.
Reporting & prioritisation
Findings ranked by real business impact, with reproduction steps and concrete remediation guidance an engineering team can act on.
Remediation & verification
We retest after fixes. An issue is closed when it is demonstrated closed, not when a ticket is marked done.
Why an AI-native security firm
Attackers adopted automation years ago. Security programmes that still rely entirely on manual review are operating at a structural disadvantage.
Speed
Machine-driven reconnaissance and analysis compress the time between starting an engagement and finding the issues that matter.
Coverage
Automated enumeration checks the whole surface, not only the parts a human had time to look at.
Judgement
AI produces candidates and signal; experienced operators decide what is real. We do not ship model output as findings.
About the company
Apollo Technology Services LLC is a Wyoming limited liability company established in 2025, providing cybersecurity and technology services to businesses that need defensible systems rather than assurances.
Our practice grew out of building and operating production infrastructure — cloud environments, messaging platforms and the automation behind them. That operational background shapes how we test: we assess systems the way they actually run, including the AI components now being wired into them.
We work under written authorisation, we report what we find including the unflattering parts, and we follow a finding through to verified remediation.
Request a security assessment
Tell us what you need tested or defended. We will scope it, confirm authorisation requirements, and come back with an engagement plan.
For vulnerability reports concerning our own infrastructure, please see our responsible disclosure policy.