Fix Your AI Risks
Building and adopting AI solutions is often easier than securing and governing them.
Generic AI security controls rarely match operational reality.
SafeDescent secures and supervises AI using risk controls and evaluations tuned to your AI use cases.
LLMs and Agents collapse data, reasoning, and execution into one unstable operating surface.
When AI systems combine knowledge, reasoning, and action, the risk surface becomes specific to your organization. SafeDescent maps that operating context through discovery, threat modelling, security testing and evals. And then turns it into tuned controls your teams can understand, test and own.
Your organization's unique surface
Where documents, workflows, tools, users and outputs become operational risk.
- Regulatory
- Security
- Agentic
Available control layers
Map domains, systems, use cases, and boundaries.
Define allowed use, policies, manage risks, document.
Apply guardrails, scanners, and risk controls.
Monitor behavior, anomalies, and agentic actions.
Test security and evaluate against your data.
Extends what you already run
Bring your existing risk controls, governance tooling, and security stack. SafeDescent operates across your providers, configuring, tuning, pentesting, and evaluating them alongside our own modules.
From exposed AI systems to operational maturity.
Start with what matters the most.
SafeDescent starts with a lightweight process to understand AI risk across your systems and use cases. Whether you are working from internal standards or external references such as the OWASP Top 10 for LLMs, NIST AI RMF 1.0, or the EU AI Act, we identify the risks that matter first and turn them into a practical set of steps.
Put safeguards under your control.
You know your allowed use cases. You know how your users behave. That knowledge cannot live inside someone else’s black box. SafeDescent helps you trust, understand and improve your AI risk controls.
Test with data that reflects your world.
Evaluations should not be manual checklists or generic benchmark runs. SafeDescent turns what it learns about your domain, systems, policies, documents, and risk patterns into evaluation datasets, red teaming attack vectors, and behavioral checks your teams can run as part of regular AI operations.
Catch what needs human verification.
AI systems operating with high autonomy need supervision beyond manual review. SafeDescent monitors agentic behavior, anomalous patterns, unverified outputs, and actions that exceed defined limits, giving human reviewers clearer signals and stronger control.
Governance strengthens technical posture.
AI governance is more than policy storage and audit evidence. SafeDescent connects security, engineering, data, and regulatory perspectives into one strong operating picture, where assessments, safeguards, supervision, evaluations allow you to run AI systems with confidence and according to your rules.
Building AI is the easy part.
We have learned from real AI deployments that securing and governing AI systems is often harder than building them. Generic controls added late are easier to bypass, difficult to tune, and rarely reflect how the system actually behaves.
SafeDescent is built around a different model: strong modular software adaptable to your organization. Our engineers work in close partnership with yours, tuning governance, guardrails, supervision, and evaluations to how your business actually runs.