Reality contact, source clarity, identity truthfulness, evidence boundary.
01
The Three-Layer Defense Stack
The original maps become one system: threat model, authorized defensive emulation, and public-facing protection tooling.
01
Malicious LLM Misuse Defense
Defines black-hat LLMs as pressure multipliers that automate deception, scale manipulation, and remove friction from harmful intent.
Threat ModelRuntime Boundary
→
02
Authorized Red-Team Emulation
Provides a safe adversary-view layer: understand abuse shapes without publishing operational abuse recipes.
TestingDefensive Only
→
03
Call & Identity Defense App
Turns the architecture into a consumer-facing protection layer: screen pressure, verify identity, preserve evidence, recover with dignity.
Public ToolHIR Shield
Unifying thesis: AI misuse is not only a cybersecurity problem. It is a boundary, provenance, consent, and agency problem. HIR defines what must be preserved; OAM detects how degradation spreads.
02
Unified Threat Map
These are defensive categories. They name risk surfaces the runtime should recognize, constrain, and route into safer outcomes.
Social Engineering
Automated persuasion, synthetic intimacy, authority mimicry, emotional pressure, and targeted manipulation.
Respect FailureAgency Capture
Fraud Amplification
Fake support, fake invoices, counterfeit authority, high-volume scam text, synthetic urgency, and forged context.
Honesty FailureFalse Context
Cyber Abuse Assistance
Requests that try to convert a model into a planning, coding, troubleshooting, or operational assistant for unauthorized harm.
Integrity BreachTool Misuse
Disinformation Engines
Mass-produced false narratives, synthetic consensus, fake evidence, and audience-targeted manipulation.
Truth CollapseField Degradation
Jailbreak Brokerage
Attempts to route around runtime boundaries, extract forbidden behavior, or normalize policy evasion.
Boundary ProbeRuntime Attack
Data Exposure
Efforts to reveal secrets, credentials, private data, prompts, logs, hidden context, or account recovery material.
Provenance BreachTrust Theft
Automation Swarms
Generated variants, many accounts, scaled pressure, moderation overwhelm, support flooding, and synthetic signal pollution.
Scale PressureSignal Flood
Human Targeting
Pressure, shame, grooming, extortion, isolation, coercion, elder targeting, grief exploitation, and vulnerability abuse.
Respect ZeroLife-First Violation
03
HIR Translation + OAM Fault Detection
HIR is the defense kernel. OAM is the degradation detector. Together they define whether a request, call, text, app behavior, or model output preserves human agency under pressure.
HIR Layer
Security Meaning
Defensive Question
Honesty
Truth gate
Detect false premise, impersonation, fabricated authority, hidden intent, and unverifiable claims.
Is this anchored to truthful context, or is it manufacturing false reality?
Integrity
Structural consistency, role fidelity, auditability, non-corruption under pressure.
Runtime gate
Preserve policy, tool boundaries, provenance, logging, and reproducible triage.
Does this preserve system structure, or exploit contradiction and boundary collapse?
Respect
Dignity, consent, privacy, personhood, consequence awareness, life-first constraint.
Human gate
Block coercion, targeting, exploitation, manipulation, and non-consensual harm.
Does this protect agency, or convert a person into an object or attack surface?
OAM Signal
Outsourced Agency
The actor tries to make a model, app, institution, or automation layer carry intent, judgment, credibility, pressure, or consequence while hiding the responsible human actor.
DeniabilityAutomationPressure
HIR Response
Re-anchor Responsibility
Classify intent, verify authority, constrain unsafe output, preserve logs, protect targets, slow the decision, and redirect toward defensive education or recovery.
AuditLimitRepair
04
Unified Runtime Defense Pipeline
This pipeline connects AI runtime defense, authorized red-team testing, call screening, identity-risk guidance, and recovery workflow.
01
Signal IntakePrompt, call, text, voicemail, screenshot, app state, report, or suspicious behavior.02
Actor + ScopeWho is acting, what authority exists, what system or person is affected?03
Provenance CheckIdentity, source, callback channel, evidence quality, and data boundary.04
Pressure ScanUrgency, secrecy, fear, shame, reward, romance, authority, or scale pressure.05
HIR GateHonesty, Integrity, Respect assessment for the interaction.06
OAM ScanAgency outsourcing, coercion, deniability, manipulation, and degradation signal.07
Tool FirewallBlock actions that enable fraud, harm, unauthorized access, or private-data exposure.08
Safe TransformConvert unsafe intent into defensive education, policy, awareness, or repair steps.09
Action PlanAllow, constrain, verify, block, document, escalate, recover, or retest.10
Audit + LearnPreserve evidence, metrics, false positives, control gaps, and patch/retest notes.05
Authorized Red-Team Scenario Lens
Safe adversary emulation means understanding pressure shapes without providing operational abuse instructions.
Allowed
High-level abuse classification, policy testing, benign red-team prompts, dummy data, synthetic users, mock infrastructure, detection improvement, and safety training.
AuthorizedSyntheticLogged
Not Allowed
Real target exploitation, bypass recipes, malware logic, credential theft, phishing kits, evasion methods, private data extraction, or instructions that increase abuse capability.
No Real TargetsNo Attack Recipes
06
Interactive HIR × OAM Runtime Gate
A simplified gate for classifying AI/runtime requests. Lower HIR and higher OAM pressure increases risk.
GREEN · Defensive / Allowed
HIR is stable and OAM pressure is low. The system can answer normally while preserving boundaries.
07
HIR Shield Consumer Defense App Layer
The app exists to slow pressure, restore reality contact, verify identity, preserve evidence, guide recovery, and protect the user without shame or scareware.
Incoming Call Risk
Possible Impersonation
68
Yellow Gate · Verify Before Acting
PressureElevated
IdentityUnverified
RequestMoney / code risk
ActionPause + verify
Call Risk Overlay
Displays a simple GREEN / YELLOW / RED risk gate while the user receives a call or reviews a voicemail.
Pressure Pattern Detector
Flags urgency, secrecy, false authority, emotional manipulation, financial demand, login-code requests, or remote-access pressure.
Safe Verification Coach
Guides the user to hang up, use known official contact paths, verify independently, and avoid acting inside the pressure window.
Phone Integrity Recovery
Checks app permissions, notification/accessibility access, risky profiles, unknown apps, DNS/VPN/proxy settings, and suspicious behavior.
Identity Lockdown Checklist
Provides post-risk steps: account review, password reset, session revocation, MFA, card/bank contact, evidence capture, and reporting.
Trusted Contact Mode
Allows user-approved escalation to a trusted person when risk is high, without exposing unnecessary private data.
08
Interactive Call & Identity-Theft Gate
A simplified model for call scams, AI voice risk, identity-theft pressure, and recovery routing.
YELLOW · Pause and Verify
Identity confidence is limited and pressure is elevated. Do not provide money, codes, credentials, documents, or remote access. Verify through a known safe channel.
Immediate Lockdown
Prioritize stopping payment where possible, contacting institutions through known channels, changing passwords, revoking sessions, enabling MFA, and preserving evidence.
ContainEvidence
No-Shame Recovery
The interface must never humiliate the user. Scams work by pressure and deception. Recovery starts by restoring agency, clarity, and dignity.
DignityAgency
09
Defensive Outputs + Control Surfaces
The system should leave behind useful artifacts, not vague alerts.
Risk Taxonomy
Categorized abuse patterns mapped to HIR failures and OAM degradation signals.
Control Gaps
Where detection, refusal, tool permissions, memory boundaries, call screening, or escalation did not hold.
Patch Plan
Concrete defensive changes: stronger gates, better logging, safer transformations, clearer escalation, better user guidance.
User Education
Plain-language warnings that help people slow down, verify, and preserve agency under pressure.
Evidence Packet
Timeline, call details, screenshots, notes, transcript, report status, and next steps for recovery or reporting.
Retest Evidence
Before/after test notes showing whether controls improved without blocking legitimate support.
HIR_SHIELD_FINAL_INVARIANT:
A malicious runtime succeeds when it breaks truth contact,
collapses decision structure,
and converts a person into a target.
HIR restores the baseline:
verify truth,
preserve structure,
protect dignity.
If a defensive map increases abuse capability,
it has failed HIR.
10
Implementation Roadmap
Build the full suite as one architecture, but stage the implementation so the public tool can become real without overpromising.
PHASE 1
HIR Shield AuditAndroid-first phone integrity scan: risky permissions, accessibility abuse, notification access, unknown apps, profiles, VPN/DNS/proxy review.PHASE 2
Call/Text ShieldUnknown caller quarantine, scam-text analyzer, pressure language detection, trusted-contact verification.PHASE 3
Identity ShieldSIM-swap prevention checklist, recovery email hardening, password/MFA guidance, evidence packet generator.PHASE 4
Family ModeElder/kid/vulnerable-user protection profiles, trusted-contact escalation, plain-language safety paths.PHASE 5
Community FirewatchTranslations, scam pattern reporting, accessibility testing, architecture maps, regional resources, and forum-based stewardship.11
Free Public-Interest Model + Firewatch Contributions
HIR Shield is not a fear-monetization product. It is a free public protection tool that can be sustained by voluntary support and stewardship.
Free to Use
Basic protection from scams, malware concern, identity theft, AI-assisted manipulation, and digital degradation should not be locked behind a paywall.
Public GoodNo Paywall
Optional Support
People who value the work can support development through voluntary donations, Patreon-style support, sponsorships, grants, or infrastructure help.
SustainVoluntary
Stewardship Contributions
Translation, accessibility review, testing, threat-pattern examples, architecture maps, systems-thinking ideas, documentation, and local recovery resources.
FirewatchCommunity
Contribution Area
What Helps
HIR Boundary
Translations
Make safety guidance available to more families and regions.
Language review
Plain-language warnings, regional scam vocabulary, accessibility-friendly phrasing.
Respect
No shaming, no fear bait, no cultural flattening.
Scam Patterns
Community examples of calls, texts, emails, fake support flows, and pressure signals.
Evidence-safe reporting
Sanitized examples, no private data, no doxxing, no live target exploitation.
Honesty
Preserve provenance and uncertainty labels.
Architecture Maps
Defense flows, recovery diagrams, risk models, UX maps, and systems-thinking improvements.
Review + synthesis
Find gaps, contradictions, bad assumptions, and ways to simplify user decisions.
Integrity
Improve structure without corrupting the mission.
Culture line: Protection first. Support optional. Stewardship welcome. Honesty, integrity, and respect are the operating conditions, not branding words.