01
AI governance
Policies, acceptable-use, and oversight for generative AI so your teams innovate within safe guardrails — mapped to the NIST AI Risk Management Framework.
AI Security
Adopt AI without expanding your attack surface
We help you deploy AI safely — securing models, data, and pipelines while using AI to sharpen your own detection and response.
NIST
AI RMF aligned
LLM
OWASP Top 10 coverage
100%
AI usage visibility
24/7
ML-assisted detection
The challenge
AI moved faster than your controls did
Teams are already pasting sensitive data into chatbots and shipping AI features. Without governance, every new model, agent, and integration quietly widens your attack surface.
!
Sensitive data leaking into public AI tools with no DLP or oversight.
!
Prompt injection and jailbreaks turning AI features into attacker tools.
!
Shadow AI adoption no one has inventoried or risk-assessed.
!
Third-party AI vendors with unclear data handling and security posture.
!
No framework to govern acceptable use across the organization.
!
Models and pipelines deployed without security review or hardening.
Our approach
Security for AI, and AI for security
From governing how your teams use LLMs to defending AI applications in production, we make AI a strength rather than a new risk.
02
Data protection
Prevent sensitive data leakage to AI tools with DLP, classification, and access controls.
03
Model & app security
Defend against prompt injection, jailbreaks, and abuse in your AI-powered applications and agents.
04
Third-party AI risk
Assess and monitor the security and compliance posture of the AI vendors you rely on.
05
AI-powered detection
We use machine learning across our SOC to surface anomalies and threats faster and with fewer false positives.
06
Secure AI deployment
Architecture reviews and hardening for AI workloads across cloud and on-prem environments.
In practice
Visibility into every model, agent, and prompt
We instrument your AI stack so security teams can see how models are used, where data flows, and which integrations introduce risk — all in one place.
Inside the work
Securing AI, end to end
From the SOC floor to the developer's laptop, AI security touches every layer of how your teams build and operate.
Engagement
From AI ambition to governed adoption
A pragmatic program that lets you move fast on AI while keeping risk visible and controlled.
- 1
Discover AI usage
We inventory the AI tools, models, and integrations already in use — including shadow AI — and classify them by data sensitivity and risk.
- 2
Establish governance
We stand up acceptable-use policies, an AI risk framework, and approval workflows aligned to NIST AI RMF so innovation has clear guardrails.
- 3
Protect data & models
DLP, classification, and access controls stop sensitive data leaving for AI tools, while production models and apps are hardened against abuse.
- 4
Test & red-team
We probe AI applications for prompt injection, jailbreaks, and data exposure, then remediate the weaknesses we find.
- 5
Monitor & improve
Ongoing monitoring of AI usage and vendor posture keeps governance current as your AI footprint grows.
Inside the practice
Two sides of AI security
Securing your AI
Every model, agent, and AI feature you ship is an asset attackers will probe. We secure the full lifecycle — from data and training to prompts and production endpoints.
- Prompt-injection & jailbreak defense
- Data leakage prevention
- Model & pipeline hardening
- Agent and tool-use guardrails
AI for your defense
We turn machine learning into a force multiplier for your security team — surfacing anomalies, cutting alert noise, and accelerating investigation across the SOC.
- ML-driven anomaly detection
- Fewer false positives
- Faster triage & investigation
- Behavioral threat analytics
Who it's for
When teams engage us
Rolling out copilots
Organizations enabling AI assistants who need governance and data protection first.
Shipping AI features
Product teams embedding LLMs and agents who need them hardened against abuse.
Reining in shadow AI
Leaders who need visibility and policy over AI tools already in use across the business.
“AI is both your biggest new attack surface and your most powerful new defender. The winners govern the first and weaponize the second.”
MSC Security · AI Security Practice
Outcomes
What you get
- Confident, governed adoption of AI tools
- Protection against data leakage to AI services
- Hardened AI applications resistant to abuse
- Visibility into AI usage across your organization
- Faster detection powered by machine learning
- A clear AI risk and governance framework
FAQ
Frequently asked questions
Make AI a strength, not a liability
Let's govern your AI adoption and harden your AI applications — while putting machine learning to work on your defense.