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