Atlassian Integration | Secure Workflows

Why Atlassian Needs SaaS Security

Trying to protect SaaS without the right tools or context adds complexity and ignores risk:

Manual review does not scale: Security settings and permissions are unique for every vendor, demanding significant time and expertise to manage across SaaS
SaaS requires continuous monitoring: Access and privileges persist and evolve beyond intended use without monitoring or lifecycle enforcement, growing the attack surface
Disparate security leaves gaps: No centralized visibility or control over third-party app authorizations, OAuth scopes, or integration activity can leave risks unnoticed
Attackers are focused on SaaS: Compromise of high-privilege tokens or integrations can grant attackers persistent, organization-wide access to sensitive data

Embedded AI features are secretly training on your data: SaaS vendors are quietly releasing new AI capabilities that change how your data is accessed, processed, and retained
Unauthorized experimentation with AI can be serious violations: Users may inadvertently put your organization in breach of contract, out of compliance with regulatory obligations, or in violation of customer MSAs
Security and TPRM teams lack insight into every AI interaction: Once an application passes its initial review, those security assumptions often remain unchanged for years despite new AI features being released
AI agents can proliferate quickly: Users can rapidly create, connect, and deploy AI agents inside applications without security oversight
Agents create new data exposure risks: Invisible AI agents leak, copy, and move sensitive data at machine speeds

Detect embedded AI usage: Know every time your users interact with a known AI feature with real-time browser monitoring
Track AI agent creation and changes: Identify when users create, edit, or delete agents via the Browser Extension to monitor how AI is deployed in real-time
Continuously enforce secure SaaS configurations: Obsidian scores configurations based on criticality according to built-in or custom policies and flags high-priority failures.
Right-size privileged access and SaaS integrations: The Obsidian Knowledge Graph unifies identity across SaaS to flag weak MFA, inactive accounts, shadow admins, and overly broad scopes, human or non-human.
Detect and respond to SaaS threats in near real-time: Get high-fidelity security alerts the moment your SaaS events are processed.
Accelerate incident response: Speed up incident triage by reconstructing identity activity and events, making it simple to diagnose problems.
Prevent spear phishing and token compromise: Detect and prevent credential submissions to fake phishing sites to protect your corporate accounts, OAuth tokens, and sessions with browser-level security.