AI Security Services
Protect Your AI Investments
Secure your LLMs, machine learning models, and agentic AI systems with expert red teaming, prompt injection testing, and AI governance frameworks. Stay ahead of emerging AI threats in 2026.
Why AI Security Matters in 2026
With 85% of enterprises now deploying AI and the rise of agentic AI systems, security vulnerabilities in AI can lead to catastrophic data breaches, regulatory penalties under the EU AI Act, and existential business risks. Traditional security approaches are insufficient for AI-specific threats.
Prompt Injection Attacks
Malicious prompts can bypass safety controls, extract sensitive data, and manipulate AI systems to perform unauthorized actions. 78% of deployed LLMs are vulnerable.
AI Governance Compliance
EU AI Act, NIST AI RMF, and industry regulations require documented AI risk management. Non-compliance means fines up to 7% of global revenue.
Agentic AI Risks
Autonomous AI agents can be manipulated to execute malicious actions, access unauthorized systems, and cause real-world harm without proper security controls.
AI Security Service Offerings
LLM Red Teaming & Adversarial Testing
- Prompt injection vulnerability testing
- Jailbreak and safety bypass attempts
- System prompt extraction attacks
- Multi-turn conversation manipulation
- Output manipulation testing
AI Governance & Compliance
- EU AI Act compliance assessment
- NIST AI RMF implementation
- ISO/IEC 42001 preparation
- AI risk register development
- Model documentation standards
Model Security Assessment
- Training data poisoning analysis
- Model extraction attack testing
- Inference attack evaluation
- Membership inference testing
- Adversarial input robustness
Agentic AI & LLM App Security
- Tool-use permission analysis
- Action validation frameworks
- Sandbox escape testing
- RAG security assessment
- API and integration security
The AI Threat Landscape in 2026
Emerging attack vectors targeting AI systems
Direct Prompt Injection
CriticalMalicious user inputs that override system instructions
Indirect Prompt Injection
CriticalHidden instructions in external data sources (web, documents)
Training Data Poisoning
HighManipulation of training data to embed backdoors or biases
Model Extraction
HighStealing proprietary model weights through API queries
Jailbreaking
HighBypassing safety guardrails to produce harmful outputs
AI Supply Chain Attacks
MediumCompromised models, libraries, or fine-tuning datasets
AI Security Pricing Packages
Engagement-based pricing for comprehensive AI security assessments
Assessment
Single LLM/Model Security Review
- Single LLM/model assessment
- Prompt injection testing
- Basic jailbreak attempts
- System prompt extraction test
- Security findings report
- Remediation recommendations
- 1-week delivery
Comprehensive
Full AI Security Program
- Multiple LLM/model assessments
- Full LLM red team exercise
- RAG security evaluation
- Agentic AI security review
- AI governance framework
- EU AI Act gap analysis
- Executive presentation
- 2-3 week delivery
Enterprise
Organization-Wide AI Governance
- Enterprise-wide AI inventory
- All AI system assessments
- Complete governance framework
- NIST AI RMF implementation
- ISO/IEC 42001 preparation
- AI supply chain security
- Training & workshops
- Ongoing advisory support
- 4-8 week delivery
Frequently Asked Questions
What is AI security and why is it important in 2026?
AI security encompasses the protection of AI systems, machine learning models, and LLMs from adversarial attacks, data poisoning, prompt injection, and unauthorized access. In 2026, with AI adoption reaching critical mass across industries, securing AI systems is essential to prevent data breaches, maintain model integrity, ensure regulatory compliance (EU AI Act, NIST AI RMF), and protect against reputational damage from AI failures or misuse.
What is prompt injection and how do you test for it?
Prompt injection is an attack technique where malicious inputs manipulate an LLM to bypass safety controls, leak sensitive data, or perform unauthorized actions. Our testing methodology includes direct injection attacks, indirect injection via external data sources, jailbreak attempts, system prompt extraction, and multi-turn conversation manipulation. We use both automated tools and manual red teaming to identify vulnerabilities.
What is LLM red teaming?
LLM red teaming is adversarial testing of large language models to identify security vulnerabilities, safety bypasses, and harmful outputs. This includes testing for prompt injection, jailbreaks, data leakage, hallucination exploitation, and model manipulation. Red team exercises simulate real-world attack scenarios to evaluate model robustness before production deployment.
What AI governance frameworks do you implement?
We implement comprehensive AI governance frameworks aligned with NIST AI Risk Management Framework (AI RMF), EU AI Act requirements, ISO/IEC 42001 (AI Management Systems), and industry best practices. This includes AI risk assessment processes, model documentation standards, bias and fairness testing protocols, incident response procedures, and continuous monitoring frameworks.
How do you secure agentic AI systems?
Agentic AI systems require specialized security controls due to their autonomous decision-making and tool-use capabilities. We implement sandboxing and permission boundaries, action validation and rate limiting, human-in-the-loop checkpoints for high-risk operations, comprehensive logging and audit trails, and fail-safe mechanisms. Our approach ensures agents operate within defined safety boundaries while maintaining functionality.
Secure Your AI Before Attackers Exploit It
With 78% of LLMs vulnerable to prompt injection and AI regulations tightening globally, now is the time to assess and secure your AI systems. Get a free consultation to discuss your AI security posture.
Schedule Free AI Security ConsultationRelated Services
Penetration Testing
Comprehensive security assessments for web applications, APIs, and infrastructure that power your AI systems.
Red Team Operations
Advanced adversary simulation combining traditional and AI attack vectors for holistic security testing.
vCISO Services
Strategic security leadership to integrate AI security into your overall cybersecurity program.
