AI Systems Security Services

Additional Services Detail: AI Threat Intelligence & Continuous Monitoring – Stay ahead of AI-focused threats with 24/7 monitoring and proactive defense for your machine learning systems. This offering establishes MLSecOps practices in your organization, integrating AI-specific threat intelligence into continuous security operations. In the Setup phase, we instrument your models and data pipelines with sensors and logging to capture anomalies (e.g., unusual input patterns, drift in model predictions). Our team then sets up a real-time Continuous Monitoring dashboard that watches for indicators of adversarial attacks or data misuse. Using graph analytics and an evolving knowledge base of AI threats, we correlate signals across your infrastructure to spot complex attack patterns as they emerge (Secure Design Systems Matrix AI (SDSM.AI) framework.pdf). When a suspicious event is detected, automated playbooks trigger containment or alerts to your responders – drastically reducing attacker dwell time. Regular threat intelligence updates (tailored to AI, including new model exploits or fraud techniques) are fed into the system to keep your defenses current. Deliverables include a live monitoring console (or integration with your SIEM) with custom AI threat alerts, monthly AI security trend reports, and incident response support for any detected events. (Integration: This service complements one-time assessments – e.g. deploy it after an Advanced Assessment or Red Team exercise – to maintain vigilance and adaptive defense.) AI Compliance Fast-Track – Accelerate your AI product’s readiness for SOC 2, GDPR, HIPAA, ISO 27001, or even upcoming EU AI Act regulations. This consultative program rapidly aligns your machine learning practices with required security and privacy controls, using our SDSM.AI compliance roadmap to save you time. We begin with a Setup & Gap Analysis, reviewing your current data handling, model management, and cloud infrastructure against target frameworks. Next, in the Testing (analysis) phase, we identify where your AI system might fall short – e.g., unresolved privacy risks, lack of bias assessments, or insufficient logging. Our team then guides you through Governance improvements: implementing the missing policies, technical safeguards, and documentation needed for compliance. This can include everything from encryption and access controls for sensitive training data, to bias mitigation strategies and audit trails for model decisions. We map each remediation to the relevant compliance requirement so you have clear evidence for auditors. Finally, we prepare comprehensive Reporting artifacts – a set of ready-to-use documents such as security policies, risk assessments, and control matrices – aligned to frameworks like SOC 2 or GDPR. The result is an accelerated path to compliance certification or audit readiness, without the usual confusion of “translating” AI workflows into traditional IT controls. Deliverables include a compliance gap report, updated policy/procedure documents, a controls implementation checklist, and a management briefing on your AI risk and compliance posture. (Integration: Ideal as a standalone compliance accelerator, or in combination with our security assessments to simultaneously improve security and meet regulatory needs.) AI Security Training & Risk Awareness – Empower your team with the knowledge to build and maintain secure AI systems from day one. We offer live, interactive workshops (virtual or on-site) that educate your developers, data scientists, and product leaders on the evolving threats in the AI landscape and how to counter them. Through engaging sessions, we cover real-world case studies of adversarial attacks, hands-on exercises with security tools, and best practices for secure AI development. The curriculum can be tailored to your technology stack and use-cases, ensuring relevance (e.g., focusing on NLP model risks for an LLM-focused startup, or computer vision attack scenarios for an imaging AI company). Participants will learn how attacks like adversarial examples, data poisoning, model theft, and privacy inference occur – and more importantly, how to defend against them in their daily workflow. We also instill a risk-aware mindset by introducing frameworks like HASM and secure design principles (so your team can incorporate security from the Design/Setup phase through Testing and deployment). Deliverables include training materials, recording (if desired), interactive lab notebooks, and quick-reference guides for attendees. After the training, your team will be equipped to identify AI vulnerabilities early, use security tools confidently, and champion AI security governance within your organization. (Integration: This training can be a standalone knowledge boost or part of an onboarding for teams engaged in our other services – ensuring everyone is up to speed before a Red Team or as a follow-on to a Security Assessment.)