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