AI is moving into the most sensitive parts of every industry, from credit decisions to patient records to the power grid. The systems around that AI differ by sector. The risk it creates does not.
Cygeniq helps organizations across Financial Services, Public Sector, Healthcare & Life Sciences, Retail, E-commerce & CPG, Manufacturing, Transportation & Logistics, Technology, SaaS & Digital Platforms, Telecommunications, Media & Entertainment, and Energy & Utilities discover AI assets, test them against real-world attacks, enforce runtime guardrails, govern AI risk and detect AI-native attacks, all through one Runtime AI Trust Platform.
Every industry now runs AI somewhere it did not run it two years ago: copilots reading confidential files, agents with permission to take action, retrieval systems drawing on internal knowledge. That AI consumes prompts, retrieved content and instructions that traditional cybersecurity was never built to inspect, so a manipulated document, a poisoned data source or an over-permissioned agent can become an incident that no firewall or endpoint tool would catch. Where that risk concentrates, a customer document in Financial Services, a citizen record in Public Sector, a grid recommendation in Energy, differs by sector. What organizations need to answer it does not: discovery of every AI asset, adversarial testing, runtime guardrails, quantified risk, continuous governance and AI-native attack detection, on one platform.
The same six capabilities, adapted to what each industry actually runs and answers to.
The same six capabilities repeat across every industry Cygeniq serves, adapted to what each one runs.
Build an AI Bill of Materials covering models, agents, corpora and APIs, with ownership, data classification and operational context, including shadow and third-party AI.
Run adversarial testing against every AI asset for prompt injection, data extraction and unsafe agent behavior, mapped to OWASP and MITRE ATLAS.
Apply runtime guardrails across prompts, outputs and agent actions, with renewed testing whenever models, prompts or knowledge sources change.
Assess each AI asset by data access, system authority and potential consequence, so risk is prioritized in terms that matter to the business.
Connect AI assets, risk, controls and evidence in one register, with frameworks mapped once and continuous, audit-ready monitoring.
Provide visibility and traceability for AI-native attacks, and detect and contain AI-powered attacks such as deepfakes and AI-crafted phishing.
Gain visibility into your AI environment, understand its risk, test it against real-world attacks and apply security and governance controls as your AI systems evolve. Cygeniq helps you secure AI systems, govern AI risk and prove control, wherever your industry's risk concentrates.
AI Trust Infrastructure for secure, governed and accountable enterprise AI
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