What is AI Security Consulting?

Consulting that guides organizations through their AI journey—from assessments and governance frameworks to tailored strategy and secure infrastructure—to unlock AI’s potential while ensuring compliant, reliable operations.

What is PromptShield?

PromptShield is an AI-powered firewall and defense platform that sits between users and your AI models, detecting and blocking risks like prompt injection, jailbreaks, filter evasion, and data exfiltration in real time.

Which AI and LLM risks do you address?

Risks include misalignment with human values and policies, nondeterministic outputs, hallucinations and harmful content, lack of comprehensive testing, exposure to defamation and victim claims, compliance mandates and oversight, data misuse and national restrictions, and loss of public trust and brand harm.

Who are these solutions designed for?

Solutions are built to reach security goals with affordable options designed for small businesses.

How does this improve trust and compliance?

By establishing ethical AI governance, aligning with regulatory standards, and placing real-time defenses between users and AI models to detect, block, and educate—improving resilience, compliance, and trust.

AI Security Consulting Services

Securely Unlock The Power Of Artificial Intelligence

Whether you are just starting your AI journey or looking to optimize existing systems, our team of experts are here to guide you every step of the way.

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Our AI Security Services & Solutions

Our AI consulting services are designed to help you unlock the full potential of AI, enabling you to drive innovation, streamline operations, and gain a competitive edge

AI Security Readiness Assessment

Our assessment establishes an ethical AI governance framework, ensuring compliance and innovation. We deliver a tailored AI strategy and robust infrastructure to enhance and automate business processes with secure AI technologies.

AI And LLM Security Risk Assessments

We evaluate risks in AI and LLMs, delivering customized solutions to ensure secure, compliant, and reliable AI operations. Our approach strengthens system resilience, aligns with regulatory standards, and fosters trust in every AI interaction.

AI WAF (PromptShield™)

Stop prompt injections, jail breaks, filter evasion, and data exfiltration. Sitting between users and your AI models, PromptShield™ detects, blocks, and educates in real time. This ensures trust, compliance, and resilience.

How We Secure AI

AI Strategy Development: We work with you to develop a comprehensive AI strategy that aligns with your business objectives, ensuring that AI initiatives are purposeful and effective.
AI Implementation Roadmap: Our detailed implementation roadmaps provide a clear path from AI concept to execution, ensuring seamless integration into your existing systems.
AI Infrastructure Development: We help you build a robust AI infrastructure that supports scalability, performance, and security, laying the foundation for sustainable AI operations.
AI Management Systems (AIMS) Implementation: Ensure governance and compliance with ISO 42001 standards by implementing AI Management Systems that oversee AI activities and ethical considerations.
AI Ethics and Governance: Establish ethical AI frameworks to guide responsible AI use, balancing innovation with societal impact and regulatory requirements.
AI Model Development and Optimization: Our team specializes in developing and refining AI models, ensuring they are optimized for accuracy, efficiency, and real-world application.

AIs Are Attacking Other AIs. Are You Prepared?

PromptShield™ is the first AI-powered firewall and defense platform that protects enterprises against the most critical AI prompt risks.

Prompt Injecitons

Prompt injection is the number one security risk for AI today. Attackers bury hidden instructions inside emails, documents, or web pages. The model reads them as commands—ignoring its rules, leaking secrets.

Jailbreak Prompts

Jailbreaks are creative prompt tricks designed to break AI out of its safety rules. Attackers disguise forbidden requests as role-plays, bedtime stories, code games, even gibberish suffixes.

Data Exfiltration

Not all leaks come from hackers breaking in. Some come from prompts that tell the AI to spill secrets. Attackers hide instructions in customer tickets, email attachments, or shared files.

AI Model Misuse

LLMs aren’t just used by innovators; they’re also abused by attackers. With the right prompts, a model can generate phishing emails in perfect English, malware code that runs on first try, or fake news designed to spread fast.

Shadow Prompting

AI doesn’t just read what users type. It ingests supply chain data—shared docs, partner feeds, customer tickets. That’s where attackers hide prompts.

Prompt Obfuscation

Attackers know filters often look for keywords. So, they hide instructions in code, foreign languages, or even emojis. They use Base64 encoding, invisible characters, or homoglyphs letters that look normal but aren’t.

Adversarial Prompt Chaining

Not every attack happens in a single message. Some adversaries build chains of prompts small, harmless steps that slowly steer the model toward a dangerous outcome.

Prompt Flooding (DoS)

AI systems aren’t just vulnerable to network floods. They’re vulnerable to prompt floods. Attackers spam large, complex inputs that burn through tokens and computing power. The result? Slowdowns, ballooning costs, even outages.

Cross-Model Inconsistencies

Enterprises don’t use just one model. The same prompt can trigger completely different responses. One is safe, another leaks. Attackers can even probe your system to see which model you’re running and target the weaker link.

Usability And Alignment Challenges With LLMs

Even well-trained models struggle to consistently align with human values and organizational policies.

Prompt Testing Difficulties

LLM outputs vary greatly with wording and are nondeterministic, lacking standard metrics and requiring extensive, imperfect manual or automated testing.

Model Alignment Issue

AI models can hallucinate facts, follow bad patterns, or drift from guidelines.

Response Quality Evaluation

No unit tests exist for every potential conversation, with problems often discovered post-deployment.

AI Regulatory And Compliance Risks

Unsafe Behavior

Harmful outputs and hallucinations.

Legal Liabilities

Defamation suits
and victim claims.

Emerging Regulations

New bans, compliance, mandates, and oversight.

Privacy Violations

Data misuse and national restrictions.

Reputational Damage

Public trust loss and brand harm.

Ready To Get Secure?

Reach Your Security Goals With Affordable Solutions Built For Small Business