AI Defense Matrix Catalog

Oasis

Visit official site ↗

Overview

Product details compiled from public sources, each with a citation.

Vendor
Oasis Security2
Description
Non-human identity management platform that discovers, governs, and enforces least-privilege access for service accounts, secrets, and AI agents across hybrid cloud.2
Deployment
SaaS2
Status
Active3

Matrix Coverage

Where this product defends, by asset class and NIST CSF function. The Coverage column shows whether each asset is Primary, Secondary, or Adjacent to what the product does. The table omits empty rows and columns.

Asset class IdentifyProtectDetect Coverage
Runtime AI Data Secondary 1
AI Agent Identities Primary 1

Framework Relevance

These frameworks include controls relevant to the asset classes Oasis defends. This is an editorial inference from the AI Defense Matrix asset-level crossmap, not a statement that Oasis Security implements these controls or is certified against them.

Expand Collapse
Framework Asset class Relevant controls
NIST IR 8596 Runtime AI Data Prompts (runtime); inference data
AI Agent Identities Agents as autonomous principals; Keys; Integrations and permissions
CSA AI Controls Matrix Runtime AI Data Data Security and Privacy Lifecycle Management; Application and Interface Security
AI Agent Identities IAM; Governance, Risk and Compliance
ISO 42001 Runtime AI Data A.7 Data for AI systems; A.8 Information for interested parties
AI Agent Identities A.9 Use of AI systems; A.3 Internal organization; A.5 Assessing impacts of AI systems
Google SAIF Runtime AI Data Expand AI red-teaming; runtime input and output safety; prompt defense
AI Agent Identities Focus on Agents (explicit SAIF section); identity, authorization, and delegation controls
SANS Critical AI Security Guidelines Runtime AI Data Model I/O Handling (sanitize, validate, and filter inputs and outputs; segregate user and system prompts; multilayered prompt-injection defense); Conventional Security Controls (protect augmentation and RAG data with vector-store access controls and validation); Data Minimization and Obfuscation (limit sensitive prompt content; context-window management); Limit Model Behavior (AI guardrails)
AI Agent Identities Secure Agentic Systems and AI Autonomy Controls (defined function scope; API and function-call gating; escalation and fallback); Limit Model Behavior (least-privilege focused functionality; human oversight; override capabilities)
MITRE ATLAS Runtime AI Data AML.T0051 LLM Prompt Injection; AML.T0054 LLM Jailbreak; AML.T0056 Extract LLM System Prompt
AI Agent Identities AML.T0053 AI Agent Tool Invocation; credential and delegation-chain abuse
OWASP AI Exchange Runtime AI Data Input threats: prompt injection, adversarial inputs, evasion; runtime threats: RAG poisoning, memory tampering
AI Agent Identities Runtime threats: unauthorized agent actions, capability abuse, delegation chain exploitation
OWASP LLM Top 10 Runtime AI Data LLM01 Prompt Injection; LLM02 Sensitive Information Disclosure; LLM08 Vector and Embedding Weaknesses; LLM05 Improper Output Handling
AI Agent Identities LLM06 Excessive Agency; LLM05 Improper Output Handling; unauthorized actions by AI agents
OWASP Agentic Security Top 10 Runtime AI Data ASI06 Memory & Context Poisoning; ASI01 Agent Goal Hijack (via prompt injection in runtime inputs)
AI Agent Identities ASI03 Identity and Privilege Abuse; ASI10 Rogue Agents; ASI09 Human-Agent Trust Exploitation; ASI02 Tool Misuse and Exploitation (when tied to agent permissions)

Provenance

Last sourced 2026-07-16.

Expand Collapse

Sources

  1. Oasis: Govern your agentic AI adoption
    Vendor source accessed 2026-06-07
    • “By identifying and enforcing boundaries on delegated permissions, you can prevent unintentional exposure, such as an AI agent accessing entire storage systems via OAuth.”
    • “Continuous Audit & Policy Enforcement Oasis continuously enforces AI usage policies with real-time detection and alerting.”
  2. Oasis NHI Security Cloud product overview
    Vendor source accessed 2026-06-07
  3. Oasis Security raises 120 million for agentic access management
    Press source accessed 2026-06-07

Changelog

  1. Refined matrix coverage.

  2. Refined matrix coverage and primary function.

  3. Replaced seed stub with sourced details; set category to agent-security; recorded the 120 million Series B.

Found an error? Corrections are welcome. Suggest an edit.