Secure every AI system — from predictive ML pipelines to generative AI and agentic workflows. One operating model for access, data protection, guardrails, threat detection, and governance.
The foundational controls that secure how AI is accessed, prompted, fed with data, governed by policy, observed in use, and integrated with the rest of your stack — across predictive AI, generative AI, and agentic systems.
Role-based access to AI systems, MFA and SSO integration, least-privilege enforcement, and API authentication with token management — only the right people and services reach your models, agents, and pipelines.
Prompt-injection detection (OWASP LLM01), malicious-prompt blocking, sensitive-keyword filtering, and jailbreak-attempt prevention at the input layer of every model and agent.
PII detection and masking, data loss prevention for AI interactions, encryption in transit and at rest, secure retention policies, and regional data residency for training data, prompts, and outputs.
Content moderation, toxicity and abuse prevention, response validation against company policies, restricted-topic enforcement, and hallucination-risk reduction on every output.
Full audit logging, user activity tracking, end-to-end prompt and response monitoring, anomaly detection, and real-time security alerts give continuous visibility into every AI interaction.
API security controls, third-party AI risk assessment, secure plugin governance, container and runtime protection, and integrated secrets management for every AI stack.
From AI-specific threat detection through human-in-the-loop oversight to secure model lifecycle, every safeguard ties back to your SOC, your SIEM, and your compliance evidence chain — mapped to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and ISO/IEC 42001.
Model poisoning, adversarial inputs, prompt manipulation, and abnormal model behaviour — detection logic tuned to AI attack surfaces, not retrofitted endpoint signatures.
AI interaction risk scoring, user behaviour analytics, threat intelligence integration, and risk-based access policies that respond to real signals.
Controls mapped to GDPR, DORA, ISO 27001, NIST AI RMF, ISO 42001, and HITRUST — with policy reporting and audit-ready evidence collection as a continuous activity.
Integration with leading SIEM platforms, dedicated AI security dashboards, automated incident ticketing, and SOC alert enrichment with AI-specific context.
AI misuse investigation, forensic logging across prompt, response, and model events, automated containment workflows, and threat-hunting support.
AI red teaming, vulnerability assessments, penetration testing for AI applications, and continuous posture monitoring of models, agents, and data flows.
Industry-specific restrictions, department-level policies, geo-based limits, and risk-adaptive response filtering so AI behaviour matches the audience and the obligation.
Human-approval workflows, escalation paths for high-risk outputs, confidence-score visibility, and manual override capability where the stakes justify a human in the loop.
Model-version governance, secure deployment pipelines, drift detection, and integrity verification across training, fine-tuning, and inference.
Tell us where you are in your AI journey — we'll help you secure it before it scales.
