How is Mitigant different from standalone CSPM tools?

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Standalone CSPM Tools:

• Identify misconfigurations
• Provide compliance dashboards
• Alert on policy violations
• Stop there (detection without validation)

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Mitigant Platform (CSPM + CAE with AEV):

• Identify misconfigurations (CSPM)
• Validate exploitability through Adversarial Exposure Validation (CAE)
• Prove which issues are real vs. theoretical
• Provide validated, evidence-based prioritization
• Continuous red team validation

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Example:

• Standalone CSPM: "S3 bucket is public" → You get an alert with a severity score
• Mitigant AEV: "S3 bucket is public" (CSPM) → "We accessed it and exfiltrated 10GB of PII" (CAE) → You know it's critical with proof

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The AEV Differentiator:

• Most CSPM tools give you thousands of findings - Mitigant proves which ones attackers can actually exploit
• Reduces alert fatigue by focusing on validated exposures
• Provides evidence for remediation prioritization and business risk discussions

The integration of posture management with adversarial validation is the differentiator.

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How does this compare to vulnerability scanners?

Different Focus:

• Vulnerability scanners: Software vulnerabilities (CVEs)
• Mitigant CSPM: Cloud misconfigurations, IAM issues
• Mitigant KSPM: Container/Kubernetes vulnerabilities and misconfigurations
• Mitigant CAE: Detection gaps, response readiness

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Different Approach:

• Vulnerability scanners: Passive scanning
• Mitigant CAE: Active attack emulation

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Complementary Value:

• Use both together
• Vulnerability scanners find CVEs
• Mitigant validates cloud-specific security and proves exploitability

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What about other attack simulation tools?

Mitigant CAE represents a fundamentally different approach to cloud security validation:

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Cloud Attack Language (CAL) - Attack-as-Code:

• Declarative YAML-based attack definition - attacks are code, not scripts
• Version control your security experiments - treat attacks like infrastructure-as-code
• CI/CD integration - validate security in your deployment pipeline
• Reproducible and shareable - attacks are deterministic and auditable
• No proprietary scripting - open, readable format that security teams can understand and customize
• Most alternatives use opaque, vendor-specific attack definitions you can't customize or share

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AI-Powered Intelligence:

• Contextual attack recommendations - AI analyzes your cloud posture and suggests relevant attacks
• Automatic executive summaries - transform technical attack results into business intelligence
• Intelligent remediation guidance - AI prioritizes fixes based on your specific environment
• Agentic security validation - AI assists in determining what to test next based on findings
• Traditional tools provide raw attack results without intelligent analysis or context

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Determinism Meets AI:

• Predictable attack execution - CAL ensures attacks run exactly as defined, every time
• AI-enhanced interpretation - intelligent analysis of deterministic results
• No AI hallucinations in attack logic - attacks execute precisely, AI assists with understanding impact
• The perfect balance: deterministic security testing with AI-powered insights

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Cloud-Native by Design:

• Purpose-built for cloud - AWS, Azure, GCP, Kubernetes from day one
• Understands cloud-specific attack patterns - not retrofitted from network pen testing tools
• Multi-cloud attack chains - test attacks that pivot across cloud providers
• 500 attacks mapped to MITRE ATT&CK and real threat actors

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Customer-Controlled Safety (BYOR):

• You define the blast radius through your own IAM policies
• No vendor lock-in or opaque permissions
• Complete transparency - you see exactly what permissions are used
• Revocable anytime - you control the security boundary, not us

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Modern Tech Stack Alignment:

• Integrates with Detection-as-Code workflows - validate Sigma rules automatically
• API-first architecture - trigger attacks from any system
• Attack Builder - no-code visual interface for security teams without offensive expertise
• Mitigant Threat Catalog - free, community-driven attack library

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Integrated Platform Approach:

• Works with CSPM and KSPM - validate what posture management finds
• Implements Gartner's CTEM framework - complete the full cycle from discovery to validation to mobilization
• Unified view - see misconfigurations and their exploitability in one place
• Single vendor, single platform - no integration complexity

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The combination of Cloud Attack Language for determinism, AI for intelligence, CTEM methodology alignment, and cloud-native design creates a platform aligned with how modern security teams actually work - not how pen testing worked 20 years ago.

Learn more: Cloud Attack Language
Learn more: AI-Powered Analysis
Learn more: Attack Builder

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How does Mitigant CAE differ from Breach and Attack Simulation (BAS) tools?

Mitigant pioneered Adversarial Exposure Validation (AEV) - a fundamentally different approach from traditional Breach and Attack Simulation. AEV combines BAS , automated penetration testing and autonomous red teaming:

Traditional BAS (Network-Focused):

• Designed for on-premises network infrastructure
• Simulates endpoint malware and network lateral movement
• Tests perimeter defenses (firewalls, IDS/IPS, email gateways)
• Validates detection tools see known attack patterns
• Limited cloud-native understanding

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Mitigant AEV (Cloud-Native):

• Purpose-built for cloud infrastructure (AWS, Azure, Kubernetes)
• Validates actual exploitability - proves which CSPM findings attackers can exploit
• Tests cloud-specific attack vectors - IAM privilege escalation, S3 exfiltration, container escape, IMDS exploitation
• Integrates with CSPM/KSPM - validates what posture management discovers
• Completes the CTEM cycle - from discovery through validation to mobilization
• SaaS Offering: Self-serve platform that is scalable and easy to onbaord and use.

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Mitigant's AEV approach aligns with how cloud breaches actually happen - through misconfiguration exploitation, not traditional malware.

Learn more: Adversarial Exposure Validation
Learn more: AEV and CTEM

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