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See AI SOC Analyst in Action
Discover how SOC Jedi.AI revolutionizes cybersecurity operations with advanced AI-driven investigations. From automating routine tasks to providing deep threat insights, explore how organizations like yours can transform their SOC performance.
The Future of Incident Investigations
Modern cybersecurity demands faster, smarter, and more adaptive investigation processes. SOC Jedi.AI empowers your SOC team by combining precision, automation, and actionable insights to tackle evolving threats efficiently. Step into the next generation of incident response.
Tailored Reports for SOC Tiers
Provide customized reports designed for L1, L2, and other SOC tiers.
Each report is curated to meet the specific needs of analysts, ensuring clarity and actionable insights.
Each report is curated to meet the specific needs of analysts, ensuring clarity and actionable insights.
Actionable Insights Within Reports
Enable swift response with built-in automatic and semi-automatic actions directly accessible in the report interface.
Reduce MTTR and improve operational efficiency with just a few clicks.
Reduce MTTR and improve operational efficiency with just a few clicks.
Threat Detailing for Deep Analysis
Access comprehensive threat intelligence, including detailed malware descriptions, attack chain reconstruction, and potential consequences.
Equip your team with the data needed to understand and mitigate risks effectively.
Equip your team with the data needed to understand and mitigate risks effectively.
Use Cases
SOC Jedi.AI is an advanced AI SOC Analyst that transforms how incident investigations are conducted in cybersecurity. By integrating cutting-edge technology, SOC Jedi.AI delivers fast and accurate investigations, enabling your SOC team to focus on high-value tasks rather than routine work.
1: Phishing & BEC Triage
Phishing and BEC overwhelm SOCs: noisy alerts, missing context, and BEC often bypasses SEG with no malware payload. SOC Jedi.AI parses headers and links, checks sender/domain/IP and file hashes against reputation feeds, and when verdicts are absent, performs automated reverse engineering of binaries. Correlating with M365/SEG activity, it delivers a 5-minute investigation with clear verdict and actions, cutting MTTR and false positives.
Phishing and BEC overwhelm SOCs: noisy alerts, missing context, and BEC often bypasses SEG with no malware payload. SOC Jedi.AI parses headers and links, checks sender/domain/IP and file hashes against reputation feeds, and when verdicts are absent, performs automated reverse engineering of binaries. Correlating with M365/SEG activity, it delivers a 5-minute investigation with clear verdict and actions, cutting MTTR and false positives.
2: AWS Change Noise Suppression
DevOps changes in AWS can generate hundreds of similar alerts when infrastructure or permissions are updated, overwhelming analysts with noise. Valuable time is wasted validating harmless events while real threats risk being overlooked. SOC Jedi.AI applies similarity modeling and change-window context to group related alerts, suppress duplicates, and auto-close matches above a defined threshold. Analysts see a clean case view with full evidence preserved, eliminating alert storms and keeping security coverage intact.
DevOps changes in AWS can generate hundreds of similar alerts when infrastructure or permissions are updated, overwhelming analysts with noise. Valuable time is wasted validating harmless events while real threats risk being overlooked. SOC Jedi.AI applies similarity modeling and change-window context to group related alerts, suppress duplicates, and auto-close matches above a defined threshold. Analysts see a clean case view with full evidence preserved, eliminating alert storms and keeping security coverage intact.
2: AWS Change Noise Suppression
DevOps changes in AWS can generate hundreds of similar alerts when infrastructure or permissions are updated, overwhelming analysts with noise. Valuable time is wasted validating harmless events while real threats risk being overlooked. SOC Jedi.AI applies similarity modeling and change-window context to group related alerts, suppress duplicates, and auto-close matches above a defined threshold. Analysts see a clean case view with full evidence preserved, eliminating alert storms and keeping security coverage intact.
DevOps changes in AWS can generate hundreds of similar alerts when infrastructure or permissions are updated, overwhelming analysts with noise. Valuable time is wasted validating harmless events while real threats risk being overlooked. SOC Jedi.AI applies similarity modeling and change-window context to group related alerts, suppress duplicates, and auto-close matches above a defined threshold. Analysts see a clean case view with full evidence preserved, eliminating alert storms and keeping security coverage intact.
3: MSSP Quality Gate & Escalation Control
With many MSSPs, internal teams either receive raw noise or alerts lacking the context needed for action, leading to wasted time and missed threats. SOC Jedi.AI ensures 100% alert coverage while cutting out junk: every alert is fully investigated, enriched, and delivered in a standardized report format aligned to internal team requirements. As a result, escalations contain all evidence needed to act immediately, improving quality and reducing analyst overload.
With many MSSPs, internal teams either receive raw noise or alerts lacking the context needed for action, leading to wasted time and missed threats. SOC Jedi.AI ensures 100% alert coverage while cutting out junk: every alert is fully investigated, enriched, and delivered in a standardized report format aligned to internal team requirements. As a result, escalations contain all evidence needed to act immediately, improving quality and reducing analyst overload.
4: API/CMS Botnet Attack Correlation
Attacks on public APIs and CMS endpoints often arrive as massive waves of requests from botnets, hiding malicious traffic within normal load. Manual detection is slow, and teams struggle to distinguish coordinated abuse from routine spikes. SOC Jedi.AI correlates IPs, ASNs, and reputation feeds, clustering botnet-originated traffic and linking it to cases in real time. Customers gain early visibility into coordinated campaigns and can enforce blocking or rate-limiting before service disruption.
Attacks on public APIs and CMS endpoints often arrive as massive waves of requests from botnets, hiding malicious traffic within normal load. Manual detection is slow, and teams struggle to distinguish coordinated abuse from routine spikes. SOC Jedi.AI correlates IPs, ASNs, and reputation feeds, clustering botnet-originated traffic and linking it to cases in real time. Customers gain early visibility into coordinated campaigns and can enforce blocking or rate-limiting before service disruption.
4: API/CMS Botnet Attack Correlation
Attacks on public APIs and CMS endpoints often arrive as massive waves of requests from botnets, hiding malicious traffic within normal load. Manual detection is slow, and teams struggle to distinguish coordinated abuse from routine spikes. SOC Jedi.AI correlates IPs, ASNs, and reputation feeds, clustering botnet-originated traffic and linking it to cases in real time. Customers gain early visibility into coordinated campaigns and can enforce blocking or rate-limiting before service disruption.
Attacks on public APIs and CMS endpoints often arrive as massive waves of requests from botnets, hiding malicious traffic within normal load. Manual detection is slow, and teams struggle to distinguish coordinated abuse from routine spikes. SOC Jedi.AI correlates IPs, ASNs, and reputation feeds, clustering botnet-originated traffic and linking it to cases in real time. Customers gain early visibility into coordinated campaigns and can enforce blocking or rate-limiting before service disruption.
5: Dark-Web Exposure Elevation
Credentials and company data often surface on darknet forums or leak sites before active use, yet manual monitoring is slow and detached from SOC workflows. SOC Jedi.AI ingests leak feeds and dark-web intel, cross-references exposed accounts or domains with active cases, and raises their criticality. The system also signals the appearance of new leaks tied to monitored domains, enabling rapid resets, targeted monitoring, and faster containment of account takeover or insider risk.
Credentials and company data often surface on darknet forums or leak sites before active use, yet manual monitoring is slow and detached from SOC workflows. SOC Jedi.AI ingests leak feeds and dark-web intel, cross-references exposed accounts or domains with active cases, and raises their criticality. The system also signals the appearance of new leaks tied to monitored domains, enabling rapid resets, targeted monitoring, and faster containment of account takeover or insider risk.
6: Unknown Binary RE & 0-Day Hypotheses
SOC teams often face binaries flagged by EDR or SIEM with no verdict in VirusTotal or other reputation sources, leaving analysts uncertain and investigations stalled. SOC Jedi.AI automatically runs static and dynamic reverse engineering on such files, surfacing potential zero-day indicators and suspicious behaviors. Findings are mapped to kill-chain/TTP hypotheses and fed directly into the investigation, giving analysts actionable clarity and reducing time to decision.
SOC teams often face binaries flagged by EDR or SIEM with no verdict in VirusTotal or other reputation sources, leaving analysts uncertain and investigations stalled. SOC Jedi.AI automatically runs static and dynamic reverse engineering on such files, surfacing potential zero-day indicators and suspicious behaviors. Findings are mapped to kill-chain/TTP hypotheses and fed directly into the investigation, giving analysts actionable clarity and reducing time to decision.
6: Unknown Binary RE & 0-Day Hypotheses
SOC teams often face binaries flagged by EDR or SIEM with no verdict in VirusTotal or other reputation sources, leaving analysts uncertain and investigations stalled. SOC Jedi.AI automatically runs static and dynamic reverse engineering on such files, surfacing potential zero-day indicators and suspicious behaviors. Findings are mapped to kill-chain/TTP hypotheses and fed directly into the investigation, giving analysts actionable clarity and reducing time to decision.
SOC teams often face binaries flagged by EDR or SIEM with no verdict in VirusTotal or other reputation sources, leaving analysts uncertain and investigations stalled. SOC Jedi.AI automatically runs static and dynamic reverse engineering on such files, surfacing potential zero-day indicators and suspicious behaviors. Findings are mapped to kill-chain/TTP hypotheses and fed directly into the investigation, giving analysts actionable clarity and reducing time to decision.
7: Bug Bounty Report Validation
Bug bounty programs produce valuable reports, but SOC teams often lack capacity to validate each claim quickly. SOC Jedi.AI ingests submissions and uses built-in AI red team agents to replay findings externally, then correlates with internal telemetry to confirm impact. The system provides clear verdicts on whether issues are reproducible, and if validation fails it explains which steps or conditions could not be reproduced, giving teams clarity and enabling faster researcher feedback.
Bug bounty programs produce valuable reports, but SOC teams often lack capacity to validate each claim quickly. SOC Jedi.AI ingests submissions and uses built-in AI red team agents to replay findings externally, then correlates with internal telemetry to confirm impact. The system provides clear verdicts on whether issues are reproducible, and if validation fails it explains which steps or conditions could not be reproduced, giving teams clarity and enabling faster researcher feedback.
8: Unified Alert Correlation
Different security tools often generate multiple alerts about the same activity: EDR, SIEM, email, and network logs all flag overlapping signals. Analysts waste time closing duplicates or piecing evidence together manually. SOC Jedi.AI automatically de-duplicates alerts across sources and stitches them into a single enriched case with full context and evidence. This consolidation saves hours of manual triage, ensures nothing is lost, and gives analysts one clear case to act on.
Different security tools often generate multiple alerts about the same activity: EDR, SIEM, email, and network logs all flag overlapping signals. Analysts waste time closing duplicates or piecing evidence together manually. SOC Jedi.AI automatically de-duplicates alerts across sources and stitches them into a single enriched case with full context and evidence. This consolidation saves hours of manual triage, ensures nothing is lost, and gives analysts one clear case to act on.
8: Unified Alert Correlation
Different security tools often generate multiple alerts about the same activity: EDR, SIEM, email, and network logs all flag overlapping signals. Analysts waste time closing duplicates or piecing evidence together manually. SOC Jedi.AI automatically de-duplicates alerts across sources and stitches them into a single enriched case with full context and evidence. This consolidation saves hours of manual triage, ensures nothing is lost, and gives analysts one clear case to act on.
Different security tools often generate multiple alerts about the same activity: EDR, SIEM, email, and network logs all flag overlapping signals. Analysts waste time closing duplicates or piecing evidence together manually. SOC Jedi.AI automatically de-duplicates alerts across sources and stitches them into a single enriched case with full context and evidence. This consolidation saves hours of manual triage, ensures nothing is lost, and gives analysts one clear case to act on.
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By submitting this form, you agree to our Privacy Policy and Terms of Service. In accordance with EU regulations, your personal data will be processed and stored securely. You have the right to access, correct, and delete your data at any time.