SAAS DETECTION AND RESPONSE
Problem
Attackers don’t need to break in. They just log in.
A compromised identity or authorized SaaS connection can give them full access to business-critical systems like Salesforce, Workday, or Microsoft 365. Once inside, they move through your environment using the same permissions and tools as your employees.
The problem is that your posture and prevention tools don’t see it. They were built to find misconfigurations and compliance gaps. Not signs of active compromise. By the time unusual behavior is noticed, the attacker has already moved data, created persistence, and blended into normal activity.
AGENTIC RUNTIME SECURITY
Microsoft 365
Microsoft Teams
Google Workspace
Slack
Zoom
Webex
Dropbox
Box
Confluence
Workday
SAP SuccessFactors
ADP
BambooHR
Greenhouse
Cornerstone
Culture Amp
Deel
Asana
Notion
Monday.com
Smartsheet
DocuSign
Miro
Canva
Figma
Salesforce
HubSpot
Microsoft Dynamics 365
MarketoSalesforce Marketing Cloud
Outreach
Salesloft
Adobe Experience Cloud
Mailchimp
Adobe Creative CloudSAP S/4HANA Cloud
Oracle NetSuiteOracle Fusion Cloud ERP
Coupa
Bill.comSAP Concur
Stripe
Anaplan
Tableau
Power BI
Looker
Qualtrics
Microsoft Copilot
ServiceNow
Okta
Microsoft Entra ID
CrowdStrike
Zscaler
Splunk
Datadog
PagerDuty
1Password
Proofpoint
Cloudflare
GitHub
GitLab
Jira
Bitbucket
LaunchDarkly
Postman
Snowflake
Databricks
MongoDB Atlas
AWS
ChatGPT
GitHub Copilot
GeminiHow we solve it
Mitiga delivers Agentic Runtime Security across business-critical SaaS applications, cloud infrastructure, and control planes – continuously monitoring identity, SaaS, and cloud activity to detect early attacker signals before they escalate.
By correlating real-time ITDR, active threat monitoring, triage, investigation, and containment across SaaS apps and AWS, Azure, and GCP environments, Mitiga helps SOC teams catch and contain attacks before they cause impact.
Modern SaaS attackers log in with trusted identities.
Mitiga continuously monitors user identities, service accounts, OAuth apps, API tokens, and federated access across SaaS platforms like Salesforce, Microsoft 365, Snowflake, Workday, and GitHub. We build a behavioral baseline for how identities normally authenticate, access data, and interact with applications, then surface deviations that indicate compromise or abuse.
Security teams get to see the identity-driven attacks that posture tools and audit logs don’t.
Most suspicious SaaS activity looks legitimate in isolation.
Mitiga uses AI-powered analysis to evaluate risky behaviors in context. Automated triage assesses factors like impossible travel, token misuse, abnormal permission changes, suspicious data access patterns, and atypical admin actions. Mitiga filters out benign user mistakes, while elevating true attack activity.
So you get fewer alerts and faster clarity on what actually matters.
Defend your AI services, infrastructure, and embedded ChatBots.
IOA-based behavioral detection proactively catches compromised credentials, lateral movement, and data exfiltration across LLMs, SaaS, AI SaaS (ChatGPT, Gemini, Copilot), embedded AI ChatBots, and AI agents in real time
Unknown SaaS shouldn’t mean unseen SaaS.
Mitiga gives security teams continuous visibility into sanctioned, unsanctioned, and shadow SaaS activity – surfacing the apps, identities, tokens, and integrations already active across the environment. That turns hidden SaaS risk into investigation-ready context, so the SOC can detect misuse earlier, cut blind spots, and contain threats before they spread.
If an alert is a word, the attack timeline is a full sentence.
Mitiga automatically reconstructs attacker activity into a single, chronological timeline using full-fidelity forensic data retained across SaaS, identity, cloud, and AI systems. Because all activity is preserved in Mitiga’s Cloud Forensic Data Lake, security teams can trace attacks back days, weeks, or months without gaps, cold storage delays, or missing context.
This turns fragmented SaaS and identity logs into a clear narrative that teams can act on immediately.
The SaaS compromise rarely stops at SaaS.
Mitiga correlates identity and SaaS activity with cloud infrastructure actions, AI service usage, and downstream integrations, revealing lateral movement paths – such as a compromised SaaS account triggering cloud API access, data exfiltration to external services, or abuse of trusted third-party connections.
Seeing the full blast radius prevents partial containment and missed impact.
Objectives
01
Detect active attacks across cloud, SaaS, identity, and AI infrastructure.
02
Stop active attacks before data access or exfiltration.
03
Confirm zero impact and eliminate attacker persistence.
why other solutions don’t work
Posture and prevention tools do their job. They help reduce exposure,
but they end where compromise begins.
Alerting tools are noisy and disconnected
from real behavior.
Traditional incident response starts
after damage is done.
Without a way to see and stop post-attack activity, organizations are blind to what’s already happening inside their environment. Visibility needs to extend beyond posture-based prevention — to what’s next.
