Embedded LLMs and proprietary graph-based analysis translate raw telemetry and configuration data into prioritized, human-readable findings and recommended fixes, dramatically reducing alert noise with a failure-only approach. The platform emphasizes autonomous remediation and SLA-aware orchestration: validated fixes can be applied automatically or staged for review, while pre-execution simulations show the downstream impact, helping security and DevOps teams avoid accidental disruptions.
- Security Operations (SOC) Teams: Detect high-confidence threats, reduce alert fatigue, and get precise remediation steps.
- DevSecOps & Platform Engineers: Integrate IaC checks, catch drift early, and automate safe fixes in CI/CD pipelines.
- Compliance & Audit Teams: Use immutable audit trails and signed actions for regulatory evidence and reporting.
- Cloud Architects & Infrastructure Teams: Map exposures across AWS, Azure, GCP and hybrid systems for continuous hardening.
- OT/ICS Operators: Protect industrial and lab systems with agentless scanning suited for air-gapped environments.
- Risk & Leadership: Monitor enterprise risk posture with prioritized, SLA-aware remediation.
How to Use It?
- Onboard Quickly: Connect cloud accounts via secure read-only APIs and configure scopes.
- Scan & Map: Let Shadow Phantom inventory resources, map relationships, and detect drift.
- Review Findings: Read AI-generated explanations and risk scores for each issue.
- Simulate Fixes: Run pre-execution simulations to validate remediation impact.
- Remediate Safely: Apply automated fixes, or create tickets for staged approvals.
- Integrate & Monitor: Feed reports into SIEMs, ticketing, and CI/CD pipelines for continuous protection.
- Agentless, Invisible Deployment: No agents to install—reduces friction and scales quickly.
- AI-Native Explanations & Fixes: LLMs generate plain-English risk narratives and validated remediation code.
- Immutable, Signed Audit Trail: Blockchain-style logging for compliance and tamper evidence.
- SLA-Aware Autonomous Remediation: Automated fixes respect operational SLAs and orchestrations.
- Pre-PoC Simulation Tools: Preview remediations and attack paths before applying changes.
- Cross-Domain Coverage: Cloud, IAM, DevSecOps, Infra, SOC, Compliance, and OT are all supported.
- Fast, agentless onboarding with minimal operational overhead.
- Clear, AI-generated remediation guidance that reduces Mean Time To Remediate.
- Immutable audit logs that strengthen compliance posture.
- Integration-ready: works with GitHub, Terraform, SIEMs, and orchestration tools.
- Failure-only alerts that significantly reduce noisy signals.
- Domain-specific use cases for finance, healthcare, government, and OT.
- Autonomous remediation requires careful policy tuning to avoid unintended changes.
- May be over-featured for very small teams with limited cloud usage.
- Availability and region-specific deployment details may vary by geography.
- Some highly bespoke legacy environments may need custom connectors.
- Blockchain-based audit trails might be unfamiliar to traditional compliance teams.
- Full value requires integrations across CI/CD and SIEM which take setup.
Custom
Custom Pricing.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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