AI Security
AI security is the practice of protecting AI systems from attacks, misuse, and unauthorized access, extending traditional cybersecurity into the AI-specific threat surface across models, data, prompts, tools, and agents.
What AI Security Adds to Traditional Security
Traditional cybersecurity protects infrastructure, applications, and identity. AI security protects the layers those disciplines were not designed for.
- Model layer security: Defending against adversarial attacks, model extraction, and inversion attacks that target the trained model itself.
- Data layer security: Protecting training data from poisoning, retrieval sources from tampering, and outputs from leaking sensitive information.
- Interaction layer security: Defending against prompt injection, jailbreaks, and tool poisoning that target how the AI system takes input and produces output.
Why AI Security Is Distinct
The AI security threat model is fundamentally different from traditional cyber. Attacks often use natural language rather than code, exploit statistical behavior rather than software bugs, and produce outcomes that look like normal operation rather than intrusion.
See the security risks of AI agents in the enterprise for how these threats manifest in agentic systems, and how organizations should prioritize AI security risks for prioritization guidance.
AI Security and AI Governance
AI security is a component of AI governance, not a separate discipline. Governance defines the policies and framework. Security is one of the functional areas operating inside that framework, alongside compliance, risk management, and assurance.
How Kovrr Approaches AI Security
Kovrr's AI Security and Governance Platform treats AI security as an integrated capability: discovering AI assets, mapping their attack surfaces, monitoring for known attack patterns, and quantifying security-driven exposure alongside governance and compliance risk. Security and governance are managed together, not in parallel.
Related Terms
Full AI Visibility. Full Control. One Connected Platform.
Enterprise AI is expanding faster than most governance programs can track. Kovrr connects every AI signal across browser, endpoint, network, identity, and vendor systems into a single platform so security, governance, and risk teams work from the same evidence.
