Trustworthy AI that scales without risk
AI and ML adoption is accelerating, but unmanaged risks such as drift, bias, and adversarial misuse can erode trust, stall innovation, and create compliance gaps. Traditional governance methods are too static for dynamic ML pipelines and multi-agent ecosystems.
At Intuitive, we embed AI security and assurance into every stage of the lifecycle. From continuous monitoring for drift, bias, and hallucinations to adversarial defences, runtime guardrails, and automated compliance dashboards, we help organizations adopt AI faster while staying safe and audit-ready. With these controls, enterprises can protect IP and data, defend against AI-specific threats, and demonstrate compliance with frameworks such as the NIST AI RMF, EU AI Act, and ISO/IEC 42001.
Building resilience into every AI model
AI & ML Risk Controls
Establish risk registers, continuous drift and bias monitoring, hallucination detection, and adversarial manipulation tracking in MLOps pipelines. Risks are identified early, tracked continuously, and managed as models evolve.
Adversarial Protections
Deploy runtime defenses for LLMs and multi-agent ecosystems, including model scanning, AI runtime security, prompt/response sanitization, retrieval-augmented generation (RAG) security, and human-in-the-loop validation. This keeps predictions reliable and prevents malicious actors from exploiting model weaknesses.
Continuous Compliance
Enable real-time dashboards mapped to HIPAA, PCI DSS 4.0, GDPR, NIST CSF, and industry-specific frameworks, reducing audit fatigue and proving AI governance readiness at all times.
Experience outcomes that matter the most
CASE STUDIES
Wireless Infrastructure Modernization for Secured Research Lab Environments
DIVE DEEPER
CASESTUDY
Wireless Infrastructure Modernization for Secured Research Lab Environments
CASESTUDY
Wireless Infrastructure Migration & NAC Modernization
CASESTUDY
Managed Network Services for Multi-Site Healthcare Infrastructure
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Application & API Security Engineering
Embed identity-aware protections, runtime defenses, and automated threat prevention across the SDLC. Safeguard applications and APIs from OWASP Top 10 and zero-day attacks without slowing innovation.
Advanced Data Security Engineering
Implement DSPM, encryption, tagging, tokenization, immutable backups, lineage, and usage analytics to safeguard sensitive data. Maintain privacy and compliance without compromising agility.
Identity Security Engineering & Access Intelligence
Enforce Zero Trust with WebAuthn, CIEM, SPIFFE for workloads, JIT credentials, and risk-based access intelligence. Continuously minimize insider and external breach risk.
Security Architecture & Platform Engineering (SDx)
Engineer hybrid/multi-cloud platforms with policy-as-code guardrails, OPA/Terraform controls, and secure landing zones that deliver consistent governance and resilience.
Security Testing VAPT & GRC Engineering
Automate compliance and evidence generation for HIPAA, PCI, SOC, ISO, GDPR, and NIST. Achieve audit readiness with continuous security testing and reduce the cost of compliance.
Hybrid Cloud, Datacenter Compute, SDDC & Network
Design and operate hybrid cloud and software-defined datacenters with secure, scalable networking. Standardize compute, storage, and connectivity with automated guardrails to ensure high availability, seamless workload mobility, and consistent governance across on-prem and cloud.
Ready to Engineer a Breakthrough?
