AI Security and Digital Identity

AI Security Services

Comprehensive protection for autonomous AI agents, addressing critical failure points from identity to cognitive resilience.

 

Digital Identity Rights Protection

DIRF Consulting

The Problem

Agentic AI systems can replicate your voice, face, behavior, and memory—without consent, creating unauthorized digital twins for monetization.

 

Our Solution

Using DIRF™, we help secure digital likeness, implement AI-clone governance, and define royalty enforcement for autonomous identity usage.

 

Cognitive Resilience Engineering

QSAF Consulting

The Problem

Agentic AI agents silently degrade during long reasoning cycles, leading to hallucinations, misalignment, and catastrophic task failure in autonomous operations.

 
 

Our Solution

Through QSAF™, we diagnose agentic AI vulnerabilities like memory starvation, planner drift, and infinite logic loops—embedding real-time observability into autonomous systems.

 

Cognitive Resilience Engineering

QSAF Consulting

The Problem

Agentic AI agents silently degrade during long reasoning cycles, leading to hallucinations, misalignment, and catastrophic task failure in autonomous operations.

 
 

Our Solution

Through QSAF™, we diagnose agentic AI vulnerabilities like memory starvation, planner drift, and infinite logic loops—embedding real-time observability into autonomous systems.

 

Cognitive Degradation Mitigation

QSAF-BC Domain 10

The Problem

Internal AI system failures from memory starvation, planner recursion, and context flooding lead to silent agent drift, logic collapse, and persistent hallucinations over time

Our Solution

We implement QSAF Domain 10 (Behavioral & Cognitive Resilience) with seven runtime controls (QSAF-BC-001 to BC-007) that monitor agent subsystems and trigger proactive mitigation through fallback routing and memory integrity enforcement.

 

Prompt Injection & Logic-layer Defense

LPCI Defense Suite

The Problem

Malicious actors plant delayed, encoded instructions that bypass filters and persist across agentic sessions, hijacking autonomous decision-making processes

Our Solution

We implement memory-aware LPCI Sentinel™ protection layers and sanitize logic chains, RAG pipelines, and tool interfaces in autonomous agent architectures.

 

Prompt Injection & Logic-layer Defense

LPCI Defense Suite

The Problem

Malicious actors plant delayed, encoded instructions that bypass filters and persist across agentic sessions, hijacking autonomous decision-making processes

Our Solution

We implement memory-aware LPCI Sentinel™ protection layers and sanitize logic chains, RAG pipelines, and tool interfaces in autonomous agent architectures.

 

AI Red Team Testing

Adversarial AI Security Assessment

The Problem

Traditional security testing fails to uncover AI-specific vulnerabilities like prompt injection, model manipulation, and agentic system exploits that can lead to catastrophic failures.

 

Our Solution

Our AI red team specialists conduct comprehensive adversarial testing using LPCI techniques, cognitive attack vectors, and multi-stage exploitation to identify vulnerabilities before attackers do.

 

NIST AI RMF Implementation

Risk Management Framework

The Problem

Organizations struggle to implement comprehensive AI risk management practices that align with federal guidelines and industry best practices.

 

Our Solution

We provide end-to-end NIST AI RMF implementation services, helping organizations establish robust AI governance and risk management practices.

 

NIST AI RMF Implementation

Risk Management Framework

The Problem

Organizations struggle to implement comprehensive AI risk management practices that align with federal guidelines and industry best practices.

 

Our Solution

We provide end-to-end NIST AI RMF implementation services, helping organizations establish robust AI governance and risk management practices.

 

ISO 42001 Certification & Gen AI Risk

AI Management Systems

The Problem

Organizations need to comply with the first international standard for AI management systems while addressing generative AI-specific risks.

 
 

Our Solution

Master ISO 42001 principles combined with practical applications for managing generative AI risks and ensuring compliance across your organization.

 

MAESTRO Agentic AI Threat Modeling Collaborated with Distributedapps.AI

Specialized Threat Assessment

The Problem

Traditional threat modeling approaches fail to address the unique risks and attack vectors present in autonomous AI agent deployments.

 
 

Our Solution

Our MAESTRO methodology provides specialized threat modeling for agentic AI systems, identifying and mitigating risks specific to multi-agent environments.

 

MAESTRO Agentic AI Threat Modeling Collaborated with Distributedapps.AI

Specialized Threat Assessment

The Problem

Traditional threat modeling approaches fail to address the unique risks and attack vectors present in autonomous AI agent deployments.

 
 

Our Solution

Our MAESTRO methodology provides specialized threat modeling for agentic AI systems, identifying and mitigating risks specific to multi-agent environments.

 

AI Ethics Monitoring for Institutions

QorvexAI Deployment

The Problem

In education and enterprise environments, agentic AI tools are misused—prompt hacking, plugin abuse, and unethical shortcuts in autonomous academic and business processes.

 
 
 

Our Solution

We help institutions deploy QorvexAI Risk Monitor to track agentic AI misuse and protect academic and business integrity in real-time.

 

Global Presence

We serve clients worldwide from our offices across 7 countries

Canada

Canada

Toronto

EST
3:21 AM
USA

USA

New York

EST
3:21 AM
Iceland

Iceland

Reykjavik

GMT
7:21 AM
Germany

Germany

Berlin

CET
9:21 AM
Australia

Australia

Sydney

AEDT
5:21 PM
UAE

UAE

Dubai

GST
11:21 AM

Ready to Secure Your AI Systems?

Let’s discuss how our AI security services can protect your autonomous agents and AI workflows.