Consortium | Artificial Intelligence Security Strategy

Consortium helps organizations design and implement strategies for managing AI-related risks. Through structured workshops and advisory services, we align stakeholders, assess current and planned AI initiatives, and map risks across categories such as model reliability, data security, prompt injection, AI-generated code vulnerabilities, and third-party integrations.

As organizations embed generative AI into workflows, they face novel and amplified threats: models that hallucinate or drift from training data, adversarial attacks through prompt injection and jailbreaking, unintended data disclosure through flawed access controls, and expanded attack surfaces from third-party integrations and autonomous agents. Security leaders must balance innovation velocity with risk management, establishing governance foundations while enabling teams to move quickly.

We deliver actionable frameworks and a prioritized roadmap that integrates governance, technical controls, and compliance requirements—enabling safe, responsible, and business-aligned AI adoption. Through interactive discussions and collaborative exercises, we help you define AI security strategy, establish governance principles, and create phased implementation plans that align with your organization’s risk appetite and resources

AI Risk Discovery and Prioritization

Gain a tailored view of your most critical AI risks across AI-powered productivity tools, AI application development, and AI-enabled SaaS adoption. You receive a risk catalogue grounded in your environment—not generic best practices.

Outcome: Clear visibility into “what’s at risk and why,” enabling leaders to prioritize efforts based on factual exposure rather than assumptions.

Governance Foundation

Establish essential policies, evaluation processes, and governance structures for safe and compliant AI adoption. This includes defining decision rights, vendor assessment criteria, approval workflows, and accountability across teams.

Outcome: A repeatable governance model that scales with AI adoption, ensuring new tools and use cases are evaluated consistently, safely, and with business alignment.

Actionable Roadmap

Receive a prioritized implementation plan that guides control deployment, vendor selection, resource planning, and maturity development. The roadmap provides phased timelines, dependencies, and milestones to track measurable progress.

Outcome: A clear, executable path from strategy to action—enabling teams to move fast with confidence, coordination, and leadership buy-in.

Deep AI Security Expertise

Expert guidance from people who live in AI & security every day

We understand both sides of the equation — Security for AI (models, data, pipelines, supply chain) and AI for Security (detection enhancement, automation, SOC augmentation).

Our team actively tracks risks such as prompt injection, model/embedding theft, data poisoning, hallucination manipulation, jailbreak attacks, and emerging offensive AI techniques — helping you stay ahead, not react later.

Approach That Drives Alignment

Workshops that remove confusion and unify decision-making

Through structured working sessions and stakeholder mapping, we build a shared understanding of AI use cases, risk appetite, compliance needs, and business objectives.

No siloed planning — we ensure security, engineering, product, data science, and legal all move forward with one roadmap and clear ownership.

Frameworks & Roadmaps

You leave with a plan you can execute — not a theoretical binder

Our AI Risk Catalogue, Governance Blueprint, and Implementation Roadmap are customized to your environment, not copied from a template.

Every recommendation is practical, measurable, and staged for adoption — helping you prove value, reduce uncertainty, and scale AI responsibly.

Artificial Intelligence Security Strategy

You Can Adopt AI — or Secure It. We Help You Do Both.

The Result?