Our Services

Control and Security for Agentic Systems

Specialized team ensuring safe and compliant behavior of your AI agents

Key Challenges We Solve

Security Vulnerabilities

Agents can be manipulated through prompt injection, jailbreaking, and other novel attack vectors.

Compliance Uncertainty

Regulations for AI systems are evolving—are you prepared for audits and certifications?

Unpredictable Behavior

How do you ensure your agents behave consistently and align with company policies?

Operational Risks

Without proper monitoring, agent failures can impact customers and damage brand reputation.

Our Services

Security Audit

We evaluate your agentic systems to identify vulnerabilities, security risks, and improvement opportunities in your AI agents' behavior.

Deliverables:

Comprehensive security report with risk classification, proof-of-concept exploits, and prioritized remediation roadmap.

What we analyze:

  • Prompt injection vulnerabilities and jailbreak susceptibility
  • Data leakage risks in RAG systems and tool calls
  • Authentication and authorization mechanisms
  • Input/output sanitization effectiveness
  • Model behavior under adversarial conditions
  • Compliance with security frameworks (OWASP LLM Top 10)

Control Implementation

We design and implement custom guardrails, policies, and monitoring systems for your GenAI agents in production.

Technologies we work with:

LangChain, LlamaIndex, Semantic Kernel, OpenAI, Anthropic, Azure OpenAI, custom frameworks

Our approach:

  • Design policy-as-code frameworks for agent behavior
  • Implement runtime guardrails and validation layers
  • Set up observability pipelines for continuous monitoring
  • Create alerting systems for policy violations
  • Build rollback mechanisms for unsafe behaviors
  • Establish approval workflows for critical actions

Testing & Validation

We conduct exhaustive testing of your agentic systems against adversarial scenarios, edge cases, and known attack vectors.

Test coverage:

We generate comprehensive test suites covering 100+ scenarios including prompt injections, context manipulation, tool misuse, and behavioral drift.

Testing methodology:

  • Red teaming: Simulated attacks on your agent systems
  • Adversarial testing: Edge cases and boundary conditions
  • Regression testing: Consistent behavior across updates
  • Load testing: Performance under production conditions
  • Bias detection: Identifying unfair outputs
  • Alignment testing: Validating organizational values

Team Training

We train your technical teams in security best practices, monitoring, and operation of agentic systems.

Engineering Teams

  • • Secure prompt engineering
  • • Implementing guardrails
  • • Debugging agentic systems
  • • Tool integration security

Security Teams

  • • AI/LLM threat landscape
  • • Testing methodologies
  • • Incident response for AI
  • • Compliance frameworks

Leadership

  • • AI risk management
  • • Building security programs
  • • Regulatory landscape
  • • Governance frameworks

Our Process

1

Discovery

Deep-dive session to understand your agentic systems, architecture, use cases, and security concerns.

2

Assessment

Comprehensive evaluation of your current state, identifying gaps, vulnerabilities, and improvement opportunities.

3

Implementation

We work alongside your team to implement security controls, monitoring systems, and best practices.

4

Validation

Rigorous testing to ensure all controls work as expected and your systems are secure and compliant.

Technology Stack

We work with the full ecosystem of AI and agentic systems technologies

LLM Providers

OpenAI • Anthropic • Google • Azure OpenAI • AWS Bedrock • Cohere • Open-source models (Llama, Mistral)

Agent Frameworks

LangChain • LlamaIndex • Semantic Kernel • AutoGPT • CrewAI • Custom implementations

Vector Databases

Pinecone • Weaviate • Qdrant • Chroma • Milvus • PostgreSQL with pgvector

Observability

LangSmith • Weights & Biases • Phoenix • Arize AI • Datadog • Prometheus • Grafana

Security & Guardrails

NeMo Guardrails • Llama Guard • Custom policy engines • API gateways • WAF solutions

Infrastructure

Kubernetes • Docker • AWS • Azure • GCP • CI/CD pipelines

Ready to Secure Your AI Agents?

Schedule an initial consultation with no commitment. We'll discuss your use case, identify potential risks, and outline a tailored approach.

Schedule Consultation