Cybersecurity
Operating System
The Cybersecurity OS (CSOS) is Bespoke Mentis's AI-powered cybersecurity operations system. It serves as a command center for security data analysis, automated threat detection, incident response, and compliance reporting — integrating with Huntress Managed EDR. Designed for organizations in regulated industries requiring enterprise-grade security operations with constitutional AI governance, audit trails, and Jira-integrated ticket automation.
AWS Findings Alone Do Not Make You Secure
AWS Security Hub and Inspector generate thousands of findings across accounts. Security teams are overwhelmed triaging noise instead of remediating real risk.
Raw findings have severity labels but no contextual reasoning. Teams must manually decide what to fix first, in what order, with what remediation path.
Converting findings into actionable Jira tickets is manual, inconsistent, and slow — losing context, priority, and affected resource details in translation.
SOC 2, NIST, and ISO 27001 require audit-grade evidence of remediation decisions. Raw AWS findings logs do not satisfy this without significant manual work.
Wiz, Orca, and Prisma Cloud show you findings. None of them enforce human approval gates on high-risk remediation actions or produce constitutional audit trails.
SIEM, CSPM, EDR, and ticketing tools are disconnected. No single platform combines cloud posture, live threat detection, incident management, and AI-governed response.
The Governed Intelligence Layer on Top of Your Cloud Security Data
The Cybersecurity Operating System is not another CSPM dashboard. It is the AI reasoning and governance layer that sits on top of AWS Security Hub and Inspector — ingesting raw findings, classifying them with context, routing them through a governed triage engine, and producing actionable, auditable outputs: governed Jira tickets, incident records, posture scores, and SHA-256 evidence chains.
CSOS is built inside MIOS, the Mentis Intelligence Operating System. The Security Command Center has been operational since day one — detecting threats, scoring posture, managing incidents, and auditing AI security exposure in real time. The AWS integration layer now under active development by the CTO extends this foundation into full cloud security operations, making MIOS the single ecosystem where AWS findings are received, reasoned about, acted on, and evidenced.
Every decision CSOS makes is governed by MU2 — the constitutional AI operating substrate. Human approval gates are structurally enforced on high-consequence remediation actions. No AI agent in CSOS can approve its own G0 or G1 gate decisions. The system is designed to make security operations faster and more intelligent — without removing accountability or auditability from the equation.
From AWS Findings to Governed Security Action
What Is Live, What Is in Development
Live threat detection across 24 security event categories — rate limiting, auth failures, bot blocking, CORS/CSP violations, prompt injection, session tampering, and more
Security Posture Score (0–100, graded A–F) with 5-dimension breakdown: policy compliance, threat volume, identity health, AI security, operational coverage
Incident management with full lifecycle: open → investigating → contained → resolved → closed, with assignee tracking and resolution notes
AI Security monitoring: OWASP LLM Top 10 exposure tracking, refusal rate analysis, anomaly scoring, response entropy monitoring
Bot Intelligence: verified/spoofed bot classification, allowlist management, monthly crawl trend analysis, top-route tracking per bot
Cryptographic evidence chains: SHA-256 hash-linked audit trail on every security event, decision, and acknowledgment
Baseline anomaly detection: 7-day rolling averages with real-time delta spike alerts and absence signal monitoring
Executive Summary mode and board-ready posture reports with compliance-ready evidence documentation
AWS Security Hub ingestion: findings across CIS Benchmark (v1.2–v5.0), NIST SP 800-53 Rev 5, PCI DSS v3.2.1, and AWS Foundational Security Best Practices — normalized via ASFF
AWS Inspector v2 ingestion: CVE/package vulnerability findings for EC2, Lambda, and ECR; network reachability analysis; code vulnerability scanning — continuous and agentless modes
Governed Jira ticket generation: AI-enriched tickets with context, severity, affected resource details, and remediation guidance — reviewed by MIOS operators before creation
Multi-account AWS aggregation: centralized finding ingestion across AWS organization accounts with account-level posture breakdown and cross-account risk correlation
Phase 2 — Governed Adversary Emulation (purple team): MIOS orchestrates community-maintained MITRE ATT&CK / Atomic Red Team / CALDERA tests, validates whether your detections actually fired against ground-truth telemetry, and delivers SHA-256 evidenced coverage findings — connecting to the MIOS governed engineering system for human-gated remediation
AWS integration is in active development by the CTO. Phase 2 (Governed Adversary Emulation) is in active development and will require extensive testing before activation. Enterprise access requests are accepted now for early access.
Governed, Evidence-Validated Adversary Emulation
A purple-team control plane — MIOS orchestrates peer-reviewed adversary tests and proves whether your defenses detected them, under MU2 constitutional governance
We do not let an AI write or run exploits.2026 research is blunt about why that fails: independent evaluations found AI-authored pentest frameworks fabricated their own success in the majority of cases, and the overwhelming majority of AI-generated vulnerability submissions to major open-source projects were invalid. Models hallucinate “it worked” — so we never trust the model for that answer.
Instead, the attack content comes from established, community-maintained frameworks that security teams already trust: MITRE ATT&CK, Atomic Red Team (1,773 peer-reviewed, MIT-licensed tests), and MITRE CALDERA. MIOS is the control plane: it orchestrates which tests run, triages results, scores detection coverage, and writes the reports. The AI never authors or executes attack logic.
The purple loop is the part that earns an operator's trust. For every emulated technique, MIOS checks against ground-truth telemetrywhether your detection actually fired — not whether a model claims it did. If a technique slips through, that coverage gap is scored, a candidate Sigma detection is drafted (quarantined, for human review), and the entire loop is sealed in a SHA-256 evidence chain mapped to the ATT&CK matrix.
Phase 2 — once the system has been extensively tested and validated — connects coverage findings directly to the MIOS Security Intelligence core. With full human gate approval (G0/G1 constitutional gates, no AI self-authorization), the governed remediation pipeline activates: detections and fixes are proposed, scoped, reviewed by operators, and executed under full MU2 constitutional governance. Emulation and remediation share the same evidence chain, the same audit trail, and the same constitutional operating substrate.
Operators run peer-reviewed adversary tests from Atomic Red Team and MITRE CALDERA in a scoped lab — locally or in CI. MIOS orchestrates which ATT&CK techniques are exercised. Attack content is community-maintained and auditable; the AI never writes or executes it.
For each emulated technique, MIOS checks ground-truth telemetry: did your detection actually fire? Results are scored as detected or a coverage gap, mapped to ATT&CK, and sealed in a SHA-256 evidence chain. Ground truth decides — never the model.
Phase 2: coverage gaps and drafted detections route into MIOS Security Intelligence. Operators review the proposed scope. G0/G1 human gates enforce approval before any change executes. Emulation found the gap — the governed engineering system closes it — with one constitutional audit trail across both.
Tools like Assail's Ares, Aikido Infinite, Penligent, and Adversa AI are doing autonomous attack simulation in 2026 — and independent research keeps catching AI-authored attacks hallucinating their own results. Our difference is the governance and the ground truth: attack content comes from peer-reviewed MITRE frameworks, every “success” is validated against real telemetry, findings carry cryptographic evidence chains, and remediation is human-gated. We do not ask you to trust a model's claim — we show you whether your defenses actually caught it.
Peer-Reviewed Attack Content
Techniques come from MITRE ATT&CK, Atomic Red Team (1,773 MIT-licensed tests), and MITRE CALDERA — never AI-invented exploits. Auditable, community-maintained, the same frameworks professional red teams use
Ground-Truth Validation
Detection success is decided by your real telemetry — did the alert fire? — not by the model. This is the failure mode that sinks AI pentest tools, designed out from the start
Constitutional Human Gates
G0/G1 MU2 gates are required before any remediation activates. The AI cannot approve its own gate — a named operator must authorize in the exact required format
Evidence-Backed Coverage Reports
Every validation carries a SHA-256 evidence chain linking the technique, the telemetry, and the outcome — audit-grade documentation mapped to the ATT&CK matrix
Detection Coverage + ATT&CK Heatmap
A live map of which adversary techniques appear in your telemetry and which have an active detection — coverage gaps draft a candidate Sigma rule for human review
Governed Remediation Pipeline
Phase 2 connects directly to MIOS Security Intelligence — the same governed engineering system that builds your software closes your detection gaps
In Active Development — Extensive Testing Required Before Phase 2 Activates
The adversary emulation control plane is in active development. Phase 1 (orchestrate, validate, report against ground truth) must be fully built and tested extensively before Phase 2 (governed remediation via the MIOS engineering system) is activated. No component touches production infrastructure until it has passed full constitutional review and human gate approval. Attack execution always runs in a scoped lab you control, using established MITRE tooling. We are building this correctly — not fast.
The Industry Is Reactive. CSOS Is Not.
The 2026 CrowdStrike Global Threat Report documented eCrime breakout times of as little as 27 seconds. Traditional security tools — SIEMs, CSPMs, even AI copilots — are detect-and-respond architectures. By the time an alert fires, a human reviews it, and a remediation ticket is created, the attacker is already inside. CSOS breaks from this model at the architecture level: constitutional governance prevents classes of action before they occur, governed adversary emulation continuously proves whether your detections actually fire, and cryptographic evidence is generated before anyone has time to lose it.
Detect after the breach has started. Alert volumes create fatigue. No AI reasoning, no governed response, no cryptographic evidence.
Show misconfigurations from API snapshots. No AI reasoning on findings, no governance over remediation, no proactive adversarial hunting.
AI assists human analysts after a threat is detected. Guardrails are configurable policies — not compiled constitutional law. No cryptographic evidence per action.
| Capability | CSOS | CrowdStrike Charlotte AI | Microsoft Security Copilot | Darktrace Antigena | Palo Alto Cortex XSIAM |
|---|---|---|---|---|---|
Constitutional laws compiled into runtime Governance fires at execution — cannot be toggled, bypassed, or overridden by prompt or config | Analyst-defined guardrails — configurable policies, not compiled constitutional law | Control plane governance (Purview) — monitored after the fact, not compiled into AI execution | Unsupervised ML models — behavioral, not constitutional | Cortex AgentiX trained on playbook executions — enterprise governance controls, not compiled substrate | |
Mandatory human approval before high-consequence actions AI cannot approve its own gate — named human authorization required in exact format | ~ Human-AI feedback loop — analysts can review, but Charlotte AI agents can act autonomously based on guardrails | ~ Admin approval required for OS patches only — most agent actions proceed automatically | Antigena takes autonomous real-time action without human approval to stop in-progress attacks | ~ HITL approval for high-impact SOAR playbooks — but agentic layer (Cortex AgentiX) can act autonomously within policy | |
SHA-256 cryptographic evidence per security event Append-only, tamper-evident chain on every event — not just summary logs | Enhanced audit logging for ChatGPT integration — not cryptographic chains per security decision | Microsoft Purview audit logs — compliance logging, not SHA-256 evidence chains per AI action | War Room case logs — audit trail of playbook actions, not cryptographic evidence chains | ||
AI reasoning on findings with contextual triage Findings analyzed for business context, chain risk, remediation path — not just re-displayed | ~ Charlotte AI explains and summarizes alerts — analyst assistant, not autonomous governed triage engine | ~ Copilot summarizes and queries incidents — natural language interface, not autonomous reasoning layer | ~ XSIAM alert correlation and triage — AI-assisted, not governed reasoning under constitutional substrate | ||
OWASP LLM Top 10 AI security monitoring Prompt injection, model evasion, anomaly scoring — live AI-specific threat tracking | ~ Microsoft Security for AI monitors Copilot risks — scoped to Microsoft AI, not your deployed models | ||||
Governed adversary emulation validated against ground truth MITRE ATT&CK / Atomic Red Team / CALDERA orchestrated under constitutional governance — detection success proven by telemetry, never self-authorized | |||||
AI cannot self-authorize its own escalation Vague approvals ("ok", "yes") are constitutionally rejected in code — named human in exact format required | Guardrails are policy-based — no constitutional prohibition on agent self-authorization | ||||
Proactive detection-coverage validation — before breach Governed emulation continuously proves which ATT&CK techniques your defenses catch, surfacing gaps before attackers find them — validate-before-breach, not detect-and-respond | ~ Falcon Adversary Intelligence provides threat intel — analysts must interpret and act; Charlotte AI does not autonomously hunt proactively | Security Copilot assists analyst investigation of detected threats — no autonomous proactive hunting capability | ~ Self-Learning AI models baseline behavior — anomaly-triggered, not proactive adversarial simulation | ~ Cortex Xpanse provides attack surface management — posture scanning, not governed adversary emulation validated against telemetry | |
Security integrated into governed AI operating system Security posture, incidents, and evidence share the same platform as CRM, engineering, and revenue intelligence | Standalone security platform — not part of a broader governed AI OS | ~ Security Copilot connects to Microsoft 365 ecosystem — same vendor, not governed AI OS architecture |
| Capability | CSOS | Wiz | Prisma Cloud Palo Alto | Horizon3.ai NodeZero | Aikido Attack |
|---|---|---|---|---|---|
AWS Security Hub + Inspector ingestion Native ASFF-format ingestion for compliance and CVE findings | NodeZero runs its own attack simulation — does not ingest Security Hub findings | ~ Code and supply chain scanning — not AWS Security Hub/Inspector findings | |||
AI-governed reasoning on findings Contextual triage with business risk, chain analysis, remediation path — not just display | ~ Wiz Security Graph correlates findings — risk ranking, not governed AI reasoning under constitutional substrate | ~ Prisma Cloud Copilot assists triage — advisory, not governed autonomous reasoning | ~ NodeZero chains vulnerabilities to prove exploitability — AI-assisted attack path analysis, not governed triage | ||
Constitutional human approval gates Named human authorization required before any high-consequence action — AI cannot approve itself | Wiz shows findings and risk — no action layer, no approval gates | Prisma Cloud surfaces risks — remediation workflow does not enforce constitutional human gates | NodeZero operates autonomously — humans review reports after, no pre-action gates | ||
SHA-256 cryptographic evidence per event Append-only, tamper-evident chain per security decision — not summary logs | NodeZero provides detailed pentest reports with proof of exploitation — not SHA-256 chained evidence per event | ||||
Governed adversary emulation on peer-reviewed frameworks MITRE ATT&CK / Atomic Red Team / CALDERA orchestrated under constitutional governance — cannot exceed bounded scope | ~ NodeZero runs autonomous, continuously updated attack techniques — not governed by constitutional substrate or human gates | ||||
Coverage findings routed to governed remediation G0/G1 gated pipeline — coverage gap → human review → governed detection/patch — same constitutional audit trail | NodeZero provides "Quick Verify" to confirm fixes — does not govern the remediation pipeline itself | ||||
OWASP LLM Top 10 AI threat monitoring Prompt injection, model evasion, refusal rate, anomaly scoring — live AI-specific exposure tracking | ~ Aikido scans for AI-specific vulnerabilities in code — not live runtime AI threat monitoring | ||||
Governed Jira ticket generation AI-enriched, context-complete tickets reviewed by operator before creation | ~ Wiz integrates with Jira — tickets created automatically, not reviewed through constitutional approval gate | ~ Prisma Cloud Jira integration — automated creation, no governed human review gate | |||
Proactive — acts before breach, not after detection Governs and emulates continuously; does not wait for an alert to trigger human investigation | CSPM: surfaces known misconfigurations from API snapshots — reactive display model, not proactive governance | Prisma Cloud surfaces risks — security posture visibility, remediation requires human-initiated action | ~ NodeZero proactively simulates attacks — but no governance layer over outcomes; findings need separate human-driven remediation | Aikido scans for known vulnerabilities — reactive scan model, not governed adversary emulation | |
Part of a governed AI operating system Security + CRM + engineering + revenue intelligence — single constitutional platform | Wiz is a standalone cloud security platform | Prisma Cloud is a standalone CNAPP platform |
The industry detects. CSOS governs, emulates, and prevents — before the breach, not after the alert.
Traditional security is built around a feedback loop: something happens, an alert fires, a human investigates, a ticket is created. At 2026 adversary breakout speeds of under 30 seconds, that loop is too slow to matter. CSOS breaks the loop at the architecture level. Constitutional laws block entire categories of unsafe action before execution. Governed adversary emulation continuously proves whether your detections fire, surfacing gaps before attackers find them. Human approval gates fire before remediation — not after damage is done. And every decision, from triage to patch, carries a SHA-256 evidence chain so that audit is never reconstructed after the fact.
Wiz shows you risk. NodeZero finds attack paths. CrowdStrike detects threats. CSOS governs what happens to all of it — and is the only platform in any category above that connects proactive red team output to a governed, evidence-producing remediation pipeline under a single constitutional substrate.
Compliance Frameworks Supported
CIS AWS Foundations
v1.2 · v1.4 · v3.0 · v5.0
Via Security Hub
NIST SP 800-53
Revision 5
Via Security Hub
PCI DSS
v3.2.1
Via Security Hub
AWS FSBP
Foundational Security Best Practices
Via Security Hub
OWASP LLM Top 10
AI Security Exposure
Live Now
NIST SP 800-171
Revision 2 — CUI Protection
Via Security Hub
HIPAA
Security Rule · PHI Safeguards
Healthcare Deployment · Proven
We Know the Stack You Are Already Running
CSOS does not ask you to replace your existing security tools. It adds governed AI intelligence on top of them.
Most organizations already have a security stack in place — endpoint protection, DNS filtering, cloud tooling. The problem is not that these tools are bad. The problem is that none of them reason about findings, produce governed evidence chains, or connect to a remediation pipeline with human approval gates. CSOS is the intelligence and governance layer that makes your existing tools significantly more powerful.
Huntress Managed EDR provides full endpoint visibility, detection, and response — operated by Huntress's 24/7 Security Operations Center. CSOS governs the AI intelligence layer above it, reasoning about Huntress EDR signals alongside cloud and network data to produce governed, evidence-backed decisions.
- Endpoint detection and response at the device level
- Managed threat response by Huntress SOC — 24/7 human-backed
- Alert data that feeds into CSOS triage and posture scoring
- Managed ITDR: Microsoft 365 and Google Workspace identity protection
AWS Security Hub aggregates compliance findings across CIS, NIST, PCI DSS, and AWS FSBP. AWS Inspector v2 continuously scans EC2, Lambda, and ECR for CVEs and network reachability. CSOS ingests both — normalizes via ASFF, applies AI triage, and routes to governed outputs.
- Security Hub: compliance posture across multiple frameworks
- Inspector v2: continuous CVE and vulnerability scanning
- Agentless, continuous, no manual scan scheduling needed
- Multi-account aggregation across AWS organizations
DNS-layer filtering blocks malicious domains before a connection is established — phishing sites, command-and-control callbacks, malware distribution networks. We understand and work with DNS filtering solutions and can advise on configuration, policy design, and integration into the broader security posture.
- Blocks malicious domains at the network level before connection
- Stops phishing, C2 callbacks, malware downloads
- DNS query logs as additional threat intelligence input
- Policy design and configuration advisory in-house
No single tool covers every layer. CSOS is not here to replace your endpoint or DNS tools — it is here to be the governed intelligence layer that makes the entire stack coherent, evidenced, and actionable. We have deep expertise across all four layers and can help architect, deploy, and operate a complete defense-in-depth posture.
Security is a Module Inside the Mentis Intelligence Operating System
CSOS is not a standalone product disconnected from the rest of your operations. It is the Security Authority module inside MIOS — which means your security posture, incidents, and evidence chains share the same governed platform as your CRM intelligence, revenue command, blog governance, and operational analytics.
When a security event fires inside MIOS, the notification bell surfaces it immediately. When an AWS Inspector finding is ingested and triaged, the resulting Jira ticket is created within the same governed workflow as your engineering tasks. When posture drops below threshold, the executive summary module reflects it in the same board report as your commercial intelligence.
Security intelligence is not siloed. It is one constitutional module inside a single governed AI operating system — built to make every decision traceable, every action accountable, and every audit artifact immediately available.
Replace Alert Fatigue With
Governed Security Intelligence
Whether you are evaluating cloud security operations for a regulated environment, exploring AWS Security Hub integration, or need a security platform that produces audit-grade evidence — we will assess fit and outline what a governed deployment looks like in your context.
Client Spotlight
CSOS is Already Protecting a Real Practice
Dr. Carlo Honrado's Beverly Hills and Century City practice is our first live CSOS deployment — Huntress Managed EDR, AWS Security Hub, real-time posture scoring, and a cryptographic audit trail, all governed from day one.
First CSOS + Huntress Deployment
Dr. Carlo Honrado, M.D., F.A.C.S.
Facial Plastic Surgeon · Beverly Hills & Century City
Industry Disruption Movement
Serious about what's building within Cybersecurity?
We selectively work with experienced professionals who understand regulated environments, hold real sector relationships, and want to be part of building — or representing — governance-first AI systems before they become publicly obvious.
Represent
Sector Representation
You have existing relationships and credibility within Cybersecurity. Introduce our governed AI systems to organisations that are ready for them. Structured commercial terms — built on fit, not formulas.
Build
Co-Build Partnership
You have deployed complex systems in regulated environments. Contribute your domain depth to building the next governed AI system for your sector — as we built Foresight for pharma.
Every application reviewed personally · No automated responses
Common Questions