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