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