About Mitiga
Mitiga sells Agentic Runtime Security for cloud, SaaS, identity, and AI. Mitiga was founded by cloud incident responders. Mitiga uses automation, AI-driven detection, and a forensic data lake holding over 1,000 days of activity.[5]
Mitiga offers AI Agent Security, which is discovery, governance, runtime detection and response, and Zero-Impact Breach Prevention for AI agents. Mitiga inventories agents, whether sanctioned, third-party, or shadow, with their connectors and identities. For containment, Mitiga revokes the token, quarantines the identity, and reverses the change.[6][10]
Mitiga describes three kinds of agents. Vendor agents include Salesforce Agentforce, ChatGPT, Anthropic, and vendor-built automations. Mitiga learns what normal looks like for every agent and flags the moment an agent does something new or outside its guardrails. Mitiga pushes recommended containment, such as suspend, revoke, and rotate, straight into a customer's SOAR.[6]
Mitiga, with Helios AIDR, delivers behavioral detection that catches attacks in runtime, agentic AI triage that collapses noise into a prioritized attack story, and reversible containment. Mitiga extends IOA-based behavioral detection to chatbots, copilots, and autonomous agents. For identities, Mitiga runs continuous behavioral baselining across users, service accounts, OAuth apps, API tokens, and federated access. Mitiga provides continuous visibility into sanctioned, unsanctioned, shadow SaaS, and embedded AI. For SaaS, Mitiga anticipates, disrupts, and blocks active attacks driven by compromised identities, OAuth abuse, connected apps, and API misuse. Mitiga names Salesforce, Workday, GitHub, Jira, Confluence, ServiceNow, Office365, and Google Workspace among the SaaS applications its runtime security for SaaS covers. For cloud infrastructure, Mitiga extends protection into AWS, Azure, GCP, and workloads while cross correlating with identity and SaaS activities.[6][7][8]
Mitiga's Cloud Security Data Lake keeps cloud, SaaS, identity, AI, and third-party telemetry in one normalized, enriched, investigation-ready model. The Cloud Security Data Lake spans cloud, identity, productivity, SaaS apps, SaaS infrastructure, AI infrastructure, AI SaaS, and third-party services. Mitiga stores raw data at full fidelity, normalizes schemas, and builds aggregation and context layers that resolve entities and preserve continuity. Mitiga exposes the Cloud Security Data Lake through an open, documented schema, MCP and API access, bring-your-own-bucket deployment, and export paths into the SIEM. Customers can query the lake in place, programmatically or in natural language. The Mitiga platform stores and normalizes 1,000 days of forensic data, correlating identities to entities in advance.[9][10]
Mitiga's cloud managed services provide 24/7 M-CDR, managed threat hunting, and managed incident response. Mitiga integrates with on-prem systems for unified visibility and response, while optimized for SaaS and Cloud. In one case study, Mitiga activated its IR2 platform and expert team to accelerate the investigation of a global financial services enterprise facing an Okta breach.[10][11]
Mitiga holds this data outside the source, exportable for legal hold, regulators, or insurers. Mitiga delivers one cross-platform attack timeline, scope and impact, documented root cause, and regulator- and board-ready reporting.[1][5][6][8][10][12]
Mitiga on the record