Service

Safety Guardrails & Validation Layers

Multi-layer safety systems constraining AI behavior within defined boundaries through validation, guardrails, runtime enforcement, and policy controls.

Automotive
Enterprise AI Security • Neuro-Symbolic Architecture

AI agreed to sell a $76,000 Tahoe for $1. No takesies backsies. 💸

$76K → $1
Tahoe sold via injection
Dec 2023
100%
Enterprise Liability for AI Misrepresentations
Moffatt v. Air Canada
View details

The Authorized Signatory Problem

Chatbots sold a $76K Tahoe for $1 and hallucinated refund policies. Enterprises face 100% liability for AI misrepresentations per Moffatt ruling.

THE PROMPT INJECTION ATTACK

Prompt injection hijacked Chevy's chatbot to agree to $1 sale. No business logic validated the offer. Enterprises are 100% liable for AI misrepresentations.

NEURO-SYMBOLIC 'SANDWICH' ARCHITECTURE
  • Neural Ear extracts intent from queries
  • Symbolic Brain validates business rules deterministically
  • Neural Voice generates responses from sanitized
  • Semantic Routing with RBAC policy validation
Neuro-Symbolic AIPrompt Injection DefenseSemantic RoutingNVIDIA NeMo GuardrailsOWASP LLM Top 10NIST AI RMF
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Technology & Software
Deep Tech AI, Materials Science & Enterprise Media

An LLM might hallucinate a molecular structure violating valency rules. A diffusion model might generate copyright-infringing audio. 99% plausible but 1% physically impossible = catastrophic failure. ⚗️

80%
GNoME Active Learning Hit Rate vs <1% Random
Veriprajna GNoME-DFT Implementation Whitepaper
100%
Copyright Provenance via C2PA Cryptographic Audit
Veriprajna C2PA Implementation Whitepaper
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The Deterministic Enterprise: Engineering Truth in the Age of Probabilistic AI

Veriprajna builds deterministic AI where physics validates neural network outputs. From battery materials discovery to copyright-auditable audio, we deliver enterprise-grade AI accountability.

PROBABILISTIC AI FAILURES

Probabilistic AI creates enterprise liability. LLMs hallucinate physically impossible structures. Diffusion models generate copyright-infringing audio. 99% plausible with 1% impossible equals catastrophic failure.

DETERMINISTIC AI VALIDATION
  • GNoME proposes materials DFT validates physics
  • Active learning achieves 80% discovery hit rate
  • Demucs separates RVC retrieves C2PA signs
  • Cryptographic provenance ensures complete IP traceability
GNoME Materials DiscoveryDensity Functional TheoryC2PA Audio ProvenanceActive Learning
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Government & Public Sector
AI Governance • Enterprise Risk Management

Your chatbot is writing checks your business can't cash. Courts say you have to honor them. 💸

$67.4B
AI hallucination losses
Forrester Research
$14.2K
Per employee mitigation cost
Lost productivity
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The Liability Firewall

Moffatt ruling makes companies liable for AI chatbot misrepresentations. Air Canada forced to honor hallucinated refund policy, costing $67.4B in losses globally.

THE MOFFATT RULING

Air Canada's chatbot hallucinated a refund policy. Tribunal ruled companies liable for AI misrepresentations. Chatbots are digital employees with legally binding authority.

DETERMINISTIC ACTION LAYERS
  • Semantic Router detects high-stakes intents first
  • Function Calling executes deterministic code logic
  • Truth Anchoring validates against Knowledge Graphs
  • Silence Protocol escalates to humans when uncertain
Deterministic Action LayersNeuro-Symbolic AINVIDIA NeMo GuardrailsSemantic RoutingISO 42001EU AI Act Compliant
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Retail & Consumer
Retail & Consumer AI Pricing

Instacart's AI charged different users different prices for the same groceries. The FTC settled for $60 million. 💸

$60M
FTC settlement against Instacart for deceptive AI-driven pricing
FTC Press Release (Dec 2025)
$1,200
estimated annual cost per household from algorithmic price manipulation
Consumer Advocacy Analysis
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The Architecture of Truth

Probabilistic AI pricing engines without deterministic constraints exploit consumer data for personalized price discrimination, eroding trust and triggering regulatory enforcement.

PRICE DISCRIMINATION BY CODE

Instacart's Eversight AI ran randomized pricing experiments on 75% of its catalog, generating up to five different prices for the same item. A hidden 'hide_refund' experiment removed self-service refunds, saving $289,000 per week while deceiving consumers.

NEURO-SYMBOLIC SOVEREIGNTY
  • Enforce symbolic constraint layers with formal legal ontologies neural engines cannot override
  • Implement Structural Causal Models for counterfactual fairness in demographic-neutral pricing
  • Deploy GraphRAG with ontology-driven reasoning to detect proxy-to-bias dependencies
  • Automate real-time disclosure tagging for NY Algorithmic Pricing Disclosure Act compliance
Neuro-Symbolic AICausal InferenceGraphRAGKnowledge GraphsCounterfactual Fairness
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Enterprise AI Resilience • Multi-Agent Orchestration • Adversarial Defense

After 2 million successful orders, a Taco Bell AI bot tried to process 18,000 cups of water from one customer. It had zero concept of physical reality. 🌮

18,000
Water cups ordered in a single prank that forced Taco Bell to pause AI rollout
Taco Bell AI Incident Report
70-85%
GenAI project failure rate across enterprise deployments globally
Enterprise AI Deployment Analysis
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Beyond the LLM Wrapper

After 2 million successful orders, a voice AI attempted to process 18,000 water cups — proving that probabilistic systems without deterministic state machines have zero concept of operational reality.

WRAPPER LACKS COMMON SENSE

After processing two million orders, a single prank order exposed the absence of real-world reasoning in mega-prompt wrappers. The AI fulfilled a syntactically correct but operationally absurd request because it operated in a purely linguistic vacuum.

STATE MACHINE GOVERNED AGENTS
  • Multi-agent orchestration with planning, execution, validation, and retrieval agents in defined roles
  • Finite state machines providing deterministic tracks ensuring AI cannot deviate from required workflows
  • Semantic validation layer checking outputs against policy tables to prevent operationally absurd results
  • Adversarial defense against prompt injection 2.0 including indirect, multimodal, and delayed attacks
Multi-Agent SystemsState MachinesSemantic ValidationAdversarial DefenseDeterministic AI
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Healthcare & Life Sciences
Healthcare AI & Clinical Communications

AI-drafted patient messages had a 7.1% severe harm rate. Doctors missed two-thirds of the errors. 🏥

7.1%
AI-drafted messages posing severe harm risk in Lancet simulation
Lancet Digital Health (Apr 2024)
66.6%
erroneous AI drafts missed by reviewing physicians
PMC: AI in Patient Portal Messaging
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The Clinical Imperative for Grounded AI

LLM wrappers generating patient communications produce medically dangerous hallucinations, while automation bias causes physicians to miss the majority of critical errors.

AUTOMATION BIAS KILLS

In a rigorous simulation, GPT-4 drafted patient messages where 0.6% posed direct death risk and 7.1% risked severe harm. Yet 90% of reviewing physicians trusted the output. Only 1 of 20 doctors caught all four planted errors -- the rest missed an average of 2.67 out of 4.

CLINICALLY GROUNDED AI
  • Deploy hybrid RAG combining sparse BM25 and dense neural retrievers with verified citation
  • Integrate Neo4j Medical Knowledge Graphs via MediGRAF for concept-level clinical reasoning
  • Implement continuous Med-HALT benchmarking and automated red teaming for hallucination detection
  • Engineer active anti-automation-bias interfaces surfacing uncertainty to clinicians
Medical RAGKnowledge Graphs (Neo4j)Med-HALT BenchmarkingRed TeamingAB 3030 Compliance
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Healthcare AI Integrity & Clinical Governance

Texas forced an AI firm to admit its '0.001% hallucination rate' was a marketing fantasy. Four hospitals had deployed it. 🏥

0.001%
hallucination rate claimed by Pieces Technologies -- deemed 'likely inaccurate'
Texas AG Settlement (Sept 2024)
5%
of companies achieving measurable AI business value at scale
Enterprise AI ROI Analysis (2025)
View details

Beyond the 0.001% Fallacy

Healthcare AI vendors market statistically implausible accuracy claims while deploying unvalidated LLM wrappers in life-critical clinical environments.

FABRICATED PRECISION

Pieces Technologies deployed clinical AI in four Texas hospitals claiming sub-0.001% hallucination rates. The Texas AG found these metrics 'likely inaccurate' and forced a five-year transparency mandate. Wrapper-based AI strategies built on generic LLM APIs cannot deliver verifiable accuracy for clinical safety.

VALIDATED CLINICAL AI
  • Implement Med-HALT and FAIR-AI frameworks to benchmark hallucination against clinical ground truth
  • Deploy adversarial detection modules 7.5x more effective than random sampling for clinical errors
  • Enforce mandatory 'AI Labels' disclosing training data, model version, and known failure modes
  • Architect multi-tiered safety levels with escalating human-in-the-loop for high-risk decisions
Retrieval-Augmented GenerationAdversarial DetectionMed-HALT EvaluationClinical Knowledge GraphsHuman-in-the-Loop
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Sports, Fitness & Wellness
Game Development, AI Architecture & Interactive Entertainment

Unconstrained LLMs create chaos, not freedom. Veriprajna's Neuro-Symbolic Architecture separates dialogue flavor from game mechanics, maintaining balance while delivering infinite conversational variety.

99%
Game Balance Maintained
Symbolic Constraint System
<300ms
Response Latency
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Beyond Infinite Freedom: Engineering Neuro-Symbolic Architectures for High-Fidelity Game AI

The 'wrapper' era of Game AI is over. Generic LLM integration creates three critical failure modes that destroy gameplay

INFINITE FREEDOM FALLACY

Unconstrained LLMs allow social engineering exploits that break game progression. Players optimize the fun away, bypassing carefully balanced mechanics through persuasive dialogue.

NEURO-SYMBOLIC SANDWICH
  • Symbolic logic constrains neural dialogue generation
  • FSM and Utility AI enforce deterministic rules
  • Token masking guarantees 100% JSON schema compliance
  • Edge deployment with automated adversarial testing
neuro-symbolic-aifinite-state-machinesconstrained-decodinggame-ai
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AI Governance & Regulatory Compliance
AI Compliance & Enterprise Trust Architecture

The SEC fined firms $400K for claiming AI they never built. The FTC shut down the 'world's first robot lawyer.' 🚨

$400K
combined SEC penalties against Delphia and Global Predictions for AI washing
SEC Press Release 2024-36
100%
data sovereignty via private VPC or on-premises deep AI deployment
Veriprajna Architecture
View details

Engineering Deterministic Trust

Federal regulators launched coordinated enforcement against 'AI washing' -- firms making fabricated claims about AI capabilities using existing antifraud statutes.

FABRICATED INTELLIGENCE

Delphia claimed its model used ML on client spending and social media data -- the SEC discovered it never integrated any of it. Global Predictions marketed itself as the 'first regulated AI financial advisor' but produced no documentation. The FTC shut down DoNotPay's 'robot lawyer' for inability to replace an actual attorney.

VERIFIABLE DEEP AI
  • Architect Citation-Enforced GraphRAG preventing hallucinated citations through graph-constrained decoding
  • Deploy multi-agent orchestration with cyclic reflection across Research, Verification, and Writer agents
  • Maintain machine-readable AI Bills of Materials tracking datasets, models, and infrastructure
  • Implement dual NIST AI RMF and ISO 42001 governance with third-party certifiable auditing
Citation-Enforced GraphRAGMulti-Agent OrchestrationAI Bill of MaterialsNeuro-Symbolic AIISO 42001
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AI Security & Resilience
AI Security & Agentic Governance

McDonald's AI chatbot 'Olivia' exposed 64 million applicant records. The admin password? '123456.' 🔓

64M
applicant records exposed including personality tests and behavioral scores
McHire Breach Report
$4.44M
average cost of a data breach in 2025
IBM Breach Cost Analysis
View details

The Paradox of Default

The McHire platform breach demonstrates how AI wrappers bolted onto legacy infrastructure create catastrophic security gaps, with default credentials exposing psychometric data at massive scale.

DEFAULT CREDENTIAL CATASTROPHE

Paradox.ai's McHire portal was secured by '123456' for both username and password on an account active since 2019 with no MFA. An IDOR vulnerability allowed iterating through applicant IDs to access millions of records. A separate Nexus Stealer malware infection exposed credentials for Pepsi, Lockheed Martin, and Lowes.

5-LAYER DEFENSE-IN-DEPTH
  • Deploy input sanitization and heuristic threat detection to strip adversarial signatures
  • Implement meta-prompt wrapping with canary and adjudicator model pairs for verification
  • Enforce Zero-Trust identity with unique cryptographic identities for all actors in the AI stack
  • Architect ISO 42001/NIST AI RMF governance with mandatory decommissioning audits
Zero-Trust ArchitectureOWASP Agentic AIISO 42001Defense-in-DepthPII Redaction
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Aerospace & Defense
AI Security • Adversarial Defense • Multi-Spectral Sensing

$5 sticker defeats $Million AI system. Tank classified as school bus. 99% attack success. Cognitive armor needed. ⚠️

$5
Adversarial attack cost
DARPA GARD Program
<1%
Multi-spectral attack success rate
Veriprajna Whitepaper
View details

Cognitive Armor: Engineering Robustness in the Age of Adversarial AI

$5 adversarial stickers defeat million-dollar AI systems with 99% success. Multi-Spectral Sensor Fusion combines RGB, Thermal, LiDAR, Radar reducing attack success below 1%.

AI VULNERABILITY ASYMMETRY

Single-sensor AI systems vulnerable to $5 adversarial stickers. 99% attack success on RGB-only systems. CNNs prioritize texture over shape, creating 1,000:1 cost asymmetry favoring attackers.

MULTI-SPECTRAL FUSION
  • RGB, Thermal, LiDAR, Radar verify truth
  • Thermal sensor detects heat signature anomalies
  • Deep Fusion attention weights sensor reliability
  • NIST AI RMF framework ensures governance
Multi-Spectral Sensor FusionAdversarial DefenseThermal LWIRLiDARRadarDeepMTD ProtocolNIST AI RMFCognitive ArmorPhysics-Based Verification
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Media & Entertainment
Enterprise AI • Trust & Verification • Media Technology

Sports Illustrated published writers who never existed. 'Drew Ortiz' was AI. 27% stock crash. License revoked. 📰

27%
Stock price collapse
The Arena Group, Nov 2023
<0.1%
Hallucination with neuro-symbolic AI
Veriprajna Whitepaper
View details

The Verification Imperative

Sports Illustrated published AI-generated fake writers, causing 27% stock crash. Neuro-Symbolic AI with fact-checking Knowledge Graphs prevents hallucinations through architectural redesign.

TRUST GAP CRISIS

LLM wrappers optimize for plausibility, not truth. Drew Ortiz was successful pattern completion. 4% hallucination rate produces 400 false articles annually.

ARCHITECTURE OF TRUTH
  • Knowledge Graphs block non-existent entity generation
  • Multi-Agent Newsroom separates research from writing
  • Reflexion Loop validates accuracy before output
  • ISO 42001 compliance with audit trails
Neuro-Symbolic AIKnowledge GraphsGraphRAGMulti-Agent SystemsISO 42001NIST AI RMFFact-Checking AIReflexion PatternEnterprise Content Verification
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Veriprajna Deep Tech Consultancy specializes in building safety-critical AI systems for healthcare, finance, and regulatory domains. Our architectures are validated against established protocols with comprehensive compliance documentation.