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SssS Security Posture Management (SSPM) helps you find posture gaps.
Mitiga helps you preemptively detect, investigate, and stop the attacks you can’t see – across cloud, SaaS, AI, and identity.
Anticipate, disrupt, and block active SaaS attacks driven by compromised identities, OAuth abuse, connected apps, and API misuse.
Extend protection into AWS, Azure, GCP, workloads – while cross correlating with Identity and SaaS activities.
Give the SOC an always-on forensic system with normalized, contextualized, and AI-ready telemetry across cloud, SaaS, AI, and identity.
Accelerate forensic readiness across 100+ platforms with runtime AI Triage and Investigation across cloud, SaaS, identity, and AI – with the click of a button.
SSPM solutions are optimized for SaaS posture and configuration management. They help identify vulnerabilities, surface excessive permissions, and improve hygiene across fast-growing SaaS estates. Yet, many posture gaps remain open for months or years, leaving exposure live and vulnerable.
Mitiga’s Zero-Impact platform provides a real-time safety net that preemptively anticipates, disrupts, and stops attacks already in motion – before they can make an impact.
SSPM provides SaaS posture and configuration management.
Mitiga is built for runtime detection, investigation, and containment.
SSPM helps find the open windows.
Mitiga watches them 24/7 and preemptively catches attackers climbing through them.
let's Compare
Use this comparison to evaluate the difference between posture visibility and Mitiga’s preemptive runtime defense for SaaS – including critical applications like Salesforce, Workday, GitHub, Jira, Confluence, ServiceNow, Office365, Google Workspace, and more.
Real-time threat detection
Behavioral IOAs, live attacker activity
Thousands of out-of-the-box detections. IOA-based behavioral and anomaly detection. Catches compromised creds, lateral movement, data exfiltration in real time.
Strong identity-centric threat detection (ITDR) with MITRE-mapped detections and behavioral analytics; cross-surface correlation is SaaS- and identity-bounded and does not extend to cloud infrastructure or AI runtime telemetry.
UEBA, threshold, and sequence-based detection within SaaS scope (SaaS-aware ITDR). Does not extend to cloud infrastructure or AI runtime telemetry.
Dedicated ITDR module across 200+ SaaS apps with graph-based correlation; correlation is SaaS- and identity-bounded.
Panoramic visibility across cloud, SaaS, identity, and AI
Cloud infra + SaaS apps + Identity + AI SaaS – correlated and contextualized, not siloed
All four surfaces in one forensic data lake. AWS/Azure/GCP, Salesforce, M365, GitHub, Entra ID, Okta, ChatGPT, Gemini, and more.
Strong SaaS + identity visibility correlated via Unified Knowledge Graph; AI-app coverage added in 2025. No cloud-infrastructure (IaaS) coverage.
100+ SaaS apps with SaaS-aware ITDR and AISPM for AI/agent coverage. No cloud-infrastructure (IaaS) coverage.
225+ SaaS apps with graph-based correlation; AI Agent Security (launched 2026) provides discovery, inventory, and governance – not behavioral detection. No cloud-infrastructure (IaaS) coverage.
AI threat coverage
LLMs, SaaS, AI SaaS (ChatGPT, Gemini, Copilot), embedded ChatBots, and AI agents
IOA-based behavioral detection. Catches compromised creds, lateral movement, data exfil across LLMs, SaaS, AI SaaS (ChatGPT, Gemini, Copilot), embedded ChatBots, and AI agents in real time.
AI Threat & Risk Management with SaaS XDR extended to agentic systems; limited coverage scope for apps, agents, models.
AISPM for AI app/agent posture; AgentGuard prevents prompt-injection attacks, monitors and blocks data loss prevention violations, and quarantines malicious users.
Shadow-AI discovery plus 2026 AI Agent Security capability that analyzes agent behavior patterns; not yet a full IOA-based AI detection stack.
Runtime protection for SaaS applications
Identify early signals and preemptively respond and stop the attack before it materializes
Real-time ITDR, active threat monitoring, triage, investigation, and containment across business-critical SaaS apps – cross correlated with Identity and SaaS activities.
ITDR-driven runtime response (token revocation, session termination, account suspension) within SaaS + identity scope; cross-correlation bounded to SaaS + identity surfaces.
SaaS-aware ITDR with detection-driven response playbooks across 100+ apps; runtime is SaaS-bounded.
ITDR-driven runtime response across 200+ SaaS apps; bounded to SaaS + identity scope.
Runtime protection for cloud infrastructure & control plane
Across AWS, Azure, GCP
Runtime protection extends into cloud control plane, workloads, and cross-platform attack paths – cross correlated with Identity and SaaS activities.
Cloud-infrastructure runtime protection (IaaS control plane, workloads) is not part of the SSPM category.
Cloud-infrastructure runtime protection (IaaS control plane, workloads) is not part of the SSPM category.
Cloud-infrastructure runtime protection (IaaS control plane, workloads) is not part of the SSPM category.
Compensating control for unfixable gaps
Watch open windows 24/7 when the business cannot close them fast enough
Preemptively catch early signals, detect exploitation, reconstruct what happened, and stop impact in real time.
ITDR provides ongoing monitoring of identity behavior even when configurations are not remediated; not a dedicated 'compensating control' framing.
ITDR provides ongoing monitoring of identity behavior even when configurations are not remediated; not a dedicated 'compensating control' framing.
ITDR provides ongoing monitoring of identity behavior even when configurations are not remediated; not a dedicated 'compensating control' framing.
Real-time configuration drift defense
Identify and respond to SaaS configuration drift and risk, as well as compliance drift in real-time
Runtime analysis of SaaS and user behavior and activity to identify configuration drift, risky configurations, and compliance gaps for real-time response.
Provides runtime analysis of SaaS estate user behavior to automatically identify configuration drift, highlight risky settings, and flag compliance gaps for real-time response.
Provides runtime analysis of SaaS estate user behavior to automatically identify configuration drift, highlight risky settings, and flag compliance gaps for real-time response.
Provides runtime analysis of SaaS estate user behavior to automatically identify configuration drift, highlight risky settings, and flag compliance gaps for real-time response.
AI triage
From alert flood to actionable verdict – without analyst intervention
Helios AIDR collapses alert noise into prioritized findings with full attack story and severity verdict - automatically
UEBA scoring plus AI Assistant for guided triage; less aggressive auto-verdict than Mitiga's stated approach.
Risk scoring with severity labels; AskOmni AI assistant supports limited natural-language triage.
AI assisted prioritization for identity risks. Broader triage automation limited.
Real-time attack decoding and timeline
Real-time Incident View, timeline, and attacker path across cloud, SaaS, AI, and identity
Reconstructs every action, log, and signal into a unified attack sequence. Decodes early-stage attacker behavior to predict where they're headed.
Search and MITRE-mapped investigation tooling; cross-surface scope limited to SaaS + identity.
Sequence-based detection and triage guidance; not a full cross-surface attack reconstruction.
AI-built threat stories with business context; not a full cross-surface attack reconstruction.
Automated threat containment
Stopping active attacks – not flagging misconfigurations for an IT backlog
Revoke sessions, quarantine identities, block API calls, and isolate resources for active threats in real-time – mid-flight, before impact materializes.
Native ITDR-driven containment (token revocation, session termination, account suspension); SOAR integration for orchestration. Containment is SaaS + identity-bounded.
Detection-driven response playbooks within SaaS scope; orchestration via SIEM/SOAR for broader workflows.
Native automated ITDR responses (disable account, enforce MFA, restrict access) within SaaS scope.
AI-driven threat hunting
Proactive search for hidden attackers – not scheduled posture scans
Preemptive, continuous hunting across SaaS, cloud & identity. Finds attackers dwelling before they strike.
Built-in search interface with MITRE-mapped hunts; SaaS + identity-scoped.
Event search across SaaS telemetry; not offered as a hunting platform.
Graph-based investigation across SaaS + identity; not marketed primarily as a hunting platform.
MCP to enable Agentic SOC
Unlocking Agentic SOC workflows across cloud, SaaS, AI, and Identity
Powerful Mitiga MCP to enable external AI Agents to investigate SaaS threats with contextualized, investigation-grade telemetry from the Mitiga Cloud Security Data Lake.
No public MCP server as of May 2026 and no Security Data Lake.
AppOmni offers an AI-powered SaaS security companion which operates as a Model Context Protocol (MCP) server. SaaS only and no Security Data Lake.
No public MCP server as of May 2026 and no Security Data Lake.
Forensic investigation depth
IR-grade root cause – from first alert to full attack story
Forensic data lake with up to 1,000+ days of retention. Automated attack timeline in minutes. IR-ready from day one.
Investigation search across SaaS + identity telemetry; limited data retention windows and forensic depth.
Triage guidance and event analysis across SaaS telemetry; not a multi-year forensic data lake.
Graph-based investigation across SaaS + identity; not a multi-year forensic data lake.
Security Data Lake
Storing forensic data from Cloud, SaaS, Identity and AI without the 'SIEM Tax'
Full-fidelity, normalized, contextualized telemetry – across cloud, SaaS, AI, and Identity – supporting investigations and AI workflows.
No customer-accessible forensic data lake; cross-correlation provided via Unified Knowledge Graph within Obsidian's platform.
No customer-accessible forensic data lake; normalized SaaS event telemetry and processing up to billions of events daily.
No customer-accessible forensic data lake; maintains a graph-based data model.
1.
SSPM tells you where SaaS risk exists. Mitiga gives the SOC the ability to detect, investigate, and contain active misuse across business-critical SaaS applications – like Salesforce, Workday, GitHub, Jira, Confluence, ServiceNow, Office365, and Google Workspace – when attackers move through compromised identities, OAuth grants, connected apps, and API paths.
4.
Cloud-first enterprises do not operate in SaaS alone. Attacks move through cloud control planes, workloads, Kubernetes, storage, and identity systems in one continuous sequence. Mitiga gives teams unified runtime visibility across those layers, not just SaaS posture snapshots.
2.
Cloud-first enterprises do not operate in SaaS alone. Attacks move through cloud control planes, workloads, Kubernetes, storage, and identity systems in one continuous sequence. Mitiga gives teams unified runtime visibility across those layers, not just SaaS posture snapshots.
5.
Mitiga’s Cloud Security Data Lake gives the SOC an investigation-grade substrate across cloud, SaaS, identity, and AI. That means full-fidelity telemetry, normalized context, attack timelines, and better operational leverage for both analysts and AI-driven workflows.
3.
As enterprises deploy ChatGPT, Copilot, Claude, Bedrock, Vertex, Agentforce, and other AI-connected systems, they create new trust paths, service identities, and blast radius. Mitiga explicitly treats AI systems and AI service identities as first-class runtime assets.
Because the decision is rarely “do we want posture visibility?” The real decision is whether posture visibility alone can protect the business once a live attack is already moving across SaaS, cloud, identity, and AI.
Because modern attacks often move through trusted identities, OAuth grants, third-party integrations, API access, AI services, and cross-platform workflows. Those are detection, investigation, and containment problems — not just configuration problems.
For many buyers, the better model is sequencing and role clarity. SSPM helps improve posture. Mitiga provides the runtime safety net. In many environments, the strongest outcome is CDR first or CDR plus SSPM, not SSPM alone.
Mitiga provides real-time threat detection, panoramic visibility, investigation-grade forensic depth, AI-powered triage, automated threat containment, and a cross-domain Security Data Lake across cloud, SaaS, AI, and identity.
