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57 Listings in IT Ops AI Available
What is 7AI? 7AI is an agentic security operations platform that automates repetitive SOC work so analysts can focus on high-judgment tasks. It investigates and triages alerts at scale and shows its reasoning for every investigation. Key capabilities of 7AI Alert investigation and triage: handled at scale by AI agents Detection optimization: tunes detections across existing tools Response suggestions: automated remediation recommendations Federated SIEM and threat hunting: part of the core platform Enterprise context: skills and insights capture your environment Posture scoring: scores security posture against frameworks How 7AI works 7AI plugs into your existing security stack without workflow changes, investigates each alert with agents, records its reasoning, and suggests response or remediation. It is delivered as Service as Software, and the PLAID ELITE managed option adds 24/7 expert oversight. Who uses 7AI? Security operations teams that want to reduce tier 1 analyst workload. DXC Technology, Duck Creek and BigID are named customers, and DXC's CISO cites an 80% reduction in tier 1 analyst time. 7AI pricing 7AI does not publish prices. The platform, the PLAID ELITE managed service and the on-demand DFIR service are quoted by the vendor. 7AI alternatives Dropzone AI, Prophet Security and Radiant Security also offer AI SOC analysts, while PagerDuty and Datadog Bits AI address incident response and observability.
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What is Radiant Security? Radiant Security is a SOC copilot AI agent offering an AI SOC platform that triages alerts, investigates incidents and executes response. Founded in 2021 and based in San Francisco, California, USA, Radiant Security helps SOC teams automate AI SOC copilot work and get results faster. Key capabilities of Radiant Security Alert triage Incident investigation Response automation Log management Investigation reports Human-in-the-loop response How Radiant Security works Radiant Security takes alerts and logs as input and produces text and actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Splunk, Microsoft Sentinel, CrowdStrike and Palo Alto Cortex XSOAR, so the agent works inside existing workflows. Who uses Radiant Security? Radiant Security is built for SOC teams. It suits teams that want alert triage and incident investigation without adding headcount, while keeping people in control of review and final decisions. Radiant Security vs Prophet Security Radiant Security is often compared with Prophet Security. Radiant Security stands out for alert triage and response automation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Gogolook Whoscall? Gogolook is a TrustTech company whose main consumer product, Whoscall, identifies unknown callers and blocks scam calls and messages. The company also runs ScamAdviser, Message Checker and CallDefender, and reports more than 24 million monthly active users across Whoscall and ScamAdviser. Key capabilities of Gogolook Whoscall Real-time caller ID: Identifies unknown callers as contacts, telemarketers or scammers. Scam call blocking: Blocks spam and scam calls. URL phishing detection: Checks links for phishing. Screenshot analysis: Reviews screenshots of suspicious content. Community reporting: Users report scams and earn rewards. Premium tier: Faster identification, SMS assistance, ad-free use and account sharing. How Gogolook Whoscall works Whoscall matches incoming numbers against a database of more than 2.6 billion phone numbers and flags known scams, while the vendor says AI and data-driven insights power dynamic scam detection. Users can paste a link or upload a screenshot to check it, and community reports feed back into the database. Who uses Gogolook Whoscall? Consumers in Asia-Pacific markets such as Taiwan, Thailand, Malaysia, Japan and the Philippines. Gogolook also partners with more than 400 telecom, banking and technology companies and lists government and law enforcement users. Gogolook Whoscall pricing Whoscall has a free tier and a premium tier. The vendor pages reviewed do not publish a premium price, so check the app store listing for current local pricing. Gogolook Whoscall alternatives Console, Serval and Traversal are IT operations and support automation tools, not consumer scam protection. Whoscall is a caller ID and anti-scam app aimed at phone users and carriers.
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What is CrowdStrike Charlotte AI? CrowdStrike Charlotte AI is a native agentic AI security analyst built on the Falcon platform. It uses a multi-agent architecture to automate security operations tasks while keeping humans in control. Key capabilities of CrowdStrike Charlotte AI Cross-domain investigation: agents work across endpoints, identities, cloud and network Detection triage: verdicts with confidence scores, over 98% decision accuracy versus CrowdStrike analysts AgentWorks: no-code builder to encode playbooks and SOPs Charlotte Agentic SOAR: agentic reasoning with deterministic workflows and MCP integrations Built-in agents: exposure prioritization, malware analysis, query writing, workflow and incident report generation Governance: role-based access, audit logs, approval workflows How CrowdStrike Charlotte AI works Charlotte AI dispatches specialized agents that share one view of your environment, evaluates detections and returns verdicts with confidence scores, and can run workflows. It respects user permissions, logs execution traces and supports approval steps and credit caps. Who uses CrowdStrike Charlotte AI? Security operations teams that already use CrowdStrike Falcon and want to cut triage and investigation time. Customers report 90% faster incident response and 70% less manual investigation. CrowdStrike Charlotte AI pricing CrowdStrike does not publish a price list. Qualifying customers receive 50 free monthly AI credits for trial access in the Falcon console, with consumption controlled by credit caps. CrowdStrike Charlotte AI alternatives SentinelOne Purple AI and Microsoft Security Copilot are comparable security assistants, while Sedai and ScaleOps are cloud optimization tools rather than SOC agents.
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What is Zenity? Zenity is a security platform for AI agents that finds running agents, sets guardrails on their actions and detects threats. It focuses on the decision point where context and intent combine to create the highest risk. Key capabilities of Zenity Agent discovery and inventory: Finds running agents and their potential impact Vulnerability surfacing: Identifies exploitable weaknesses in agents Configuration governance: Controls permissions and agent settings Action guardrails: Blocks harmful behavior before execution Intent-based threat detection: Examines tool calls, memory access and execution paths Incident investigation: Responds using OWASP and MITRE ATLAS frameworks Automated remediation: Fixes issues without manual steps How Zenity works Zenity works in stages the vendor calls Surface, Enforce and Protect. It discovers agents, applies guardrails that stop risky actions before they run, then monitors tool calls, memory access and execution paths to detect threats and investigate incidents. Coverage spans SaaS applications, cloud-based custom agent platforms and endpoint devices. Who uses Zenity? Enterprise security teams responsible for AI agents built across SaaS, cloud and endpoints. Zenity Labs also publishes research on emerging agent security risks. Zenity pricing Zenity does not publish pricing. Contact the vendor for a quote. Zenity alternatives Alternatives include Noma Security for AI security posture, Pillar Security for AI application protection and Harmonic Security for data protection in AI use.
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What is Comp AI? Comp AI is a compliance automation AI agent offering an open-source compliance automation platform that uses AI agents to get companies audit-ready for SOC 2, ISO 27001 and HIPAA. Comp AI helps startups and SaaS companies automate compliance automation work and get results faster. Key capabilities of Comp AI Evidence collection Policy generation Vendor risk Trust portal Automated evidence collection AI policy drafting How Comp AI works Comp AI takes data and text as input and produces policies and reports. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as AWS, Google Cloud, Azure and GitHub, so the agent works inside existing workflows. Who uses Comp AI? Comp AI is built for startups and SaaS companies. It suits teams that want evidence collection and policy generation without adding headcount, while keeping people in control of review and final decisions. Comp AI vs Vanta Comp AI is often compared with Vanta. Comp AI stands out for evidence collection and vendor risk. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Harmonic Security? Harmonic Security is an AI governance and control platform that shows how employees and AI agents use AI tools across an organization. It classifies activity by business purpose and applies real-time controls, rather than relying on keyword-based DLP rules. Key capabilities of Harmonic Security AI discovery: Identifies AI tools in use, including shadow AI on personal devices and AI embedded in apps Contextual classification: Categorizes tasks by business use case and meaning of the interaction Inline controls: Blocks risky actions, warns employees with explanations and logs events for review Agent security: Governs agentic workflows at the Model Context Protocol (MCP) layer Privacy defaults: HR, Finance and Ops leaders are excluded from reporting by default, with name masking available EU hosting: Data hosting in the EU is available on request How Harmonic Security works Harmonic follows a collect, categorize, control sequence. It gathers AI activity at the source through browser extensions, desktop agents and MCP gateways, classifies each task by business context, then applies governance actions in real time. Rollout uses Intune, Jamf, Kandji or Group Policy, and the vendor says no proxy redesign or certificate infrastructure is needed. Who uses Harmonic Security? Security and governance teams in technology, legal, insurance, healthcare and financial services use Harmonic to find unsanctioned AI and prevent sensitive data from entering it. Harmonic Security pricing Harmonic does not publish plan prices on its main page and describes tiered offerings. Products are Explore (discovery), Guide (real-time control) and Command (human and agent governance). Harmonic Security alternatives Alternatives include Noma Security and Zenity, which also secure AI agents, and Knostic, which focuses on knowledge access controls for LLMs. Harmonic positions itself against SASE tools and Microsoft Purview by covering local applications and multiple AI vendors.
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What is MSPbots? MSPbots is an AI service desk automation platform for managed service providers. It automates the ticket lifecycle inside existing PSA ticketing systems and pairs it with business intelligence dashboards. Key capabilities of MSPbots AI Ticket Triage: The vendor cites cutting triage from 3 minutes to 3 seconds. AI Ticket QA: Reviews tickets against best practices. Sentiment Analysis: Flags service quality gaps. AI Ticket Intake: Handles incoming requests. NextTicket Dispatch: Routes by skill, priority and SLA. Business Intelligence: Real-time KPI dashboards from 80+ integrations. How MSPbots works MSPbots plugs into a PSA such as ConnectWise Manage, Autotask or Halo PSA, reads tickets, and triages, scores and routes them. BI dashboards pull KPIs from over 80 connected tools. Who uses MSPbots? MSPs that want faster triage, consistent ticket quality and unified reporting. MSPbots pricing BI Unlimited is $699 per month. The Pro Bundle is $990 per month for 10 seats. AI Credits start at $399 per month. Annual commitments get 10-15% discounts, and a 120-day money-back guarantee applies. MSPbots alternatives Serval, Zofiq and Workativ offer IT service automation for broader IT teams. MSPbots is MSP-specific and PSA-based.
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What is Prophet Security? Prophet Security is an AI SOC platform that deploys a set of AI agents to investigate alerts, hunt threats and improve detection coverage. Its AI SOC Analyst investigates alerts with senior-analyst depth. Customers named by the vendor include Redis, Udemy, Compass, Instacart and Penske. Key capabilities of Prophet Security AI SOC Analyst: investigates alerts and runs scoped response actions autonomously or with approval AI Threat Hunter: answers natural language questions and delivers hunt packages AI Detection Engineer: maps coverage to MITRE ATT&CK and delivers backtested detections Watchtower: 24/7/365 human review of malicious determinations with escalation within 30 minutes 200+ integrations: connects existing security tools Investigation reports: documents each alert investigation How Prophet Security works Prophet ingests alerts from connected security tools and asks the questions a human analyst would on every alert. It returns a determination with an investigation record and can execute scoped response actions on its own or after human approval. Watchtower analysts review all malicious determinations. Who uses Prophet Security? Security operations teams that want to cut alert backlog without replacing their stack use Prophet. The vendor says no rip and replace is needed. Prophet Security pricing Prophet Security does not publish pricing. Contact the vendor for a demo and quote. Prophet Security alternatives Prophet Security is compared with Dropzone AI, 7AI and Selector AI. Dropzone AI also automates alert investigation, 7AI uses multiple agents for SOC work, and Selector AI centers on network and observability analytics.
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What is Zofiq? Zofiq is a MSP ticket AI agent offering an AI agent for managed service providers that triages, enriches and resolves service tickets inside the PSA. Zofiq helps MSPs and IT service providers automate MSP ticket work and get results faster. Key capabilities of Zofiq Ticket triage AI resolution suggestions Automated time entries PSA integration Ticket triage and routing Automated resolutions How Zofiq works Zofiq takes text as input and produces text and actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as ConnectWise, Autotask, HaloPSA and ServiceNow, so the agent works inside existing workflows. Who uses Zofiq? Zofiq is built for MSPs and IT service providers. It suits teams that want ticket triage and AI resolution suggestions without adding headcount, while keeping people in control of review and final decisions. Zofiq vs MSPbots Zofiq is often compared with MSPbots. Zofiq stands out for ticket triage and automated time entries. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Hatz AI? Hatz AI is a secure AI platform for small and medium businesses and managed service providers (MSPs). It lets organizations build, deploy and manage AI agents and workflows using natural language, while keeping control of company data. Key capabilities of Hatz AI Natural language workflows: Describe a manual process in plain language and turn it into an automated workflow. AI agents: Build and manage agents for tasks such as lead generation, HR support and RFP responses. Multi-department orchestration: Scale from single-task automation to multi-system workflows. File analysis: Pre-built use case for analyzing uploaded documents. Meeting creation: Pre-built use case for scheduling and setting up meetings. Data control: The vendor states customers keep complete control over their data. MSP partner program: Partners can resell Hatz AI to clients, with a separate tier called Hatz Activate for launching AI-as-a-service businesses. How Hatz AI works Users describe the outcome they want in natural language, and the platform builds an agent or workflow that runs across departments. The company states it is SOC 2 Type 2 compliant. It does not list its underlying AI models on its homepage. Who uses Hatz AI? MSPs that want to offer AI to many clients under one platform, and SMBs that want an internal AI workspace. One reported customer cited a 20% boost in support-team efficiency. Hatz AI pricing Hatz AI does not publish list pricing. An authorized reseller reports entry plans from about $190 per month, using shared credits across the company rather than per-user fees. That figure is third-party, so use a quote for exact terms. Hatz AI alternatives Microsoft Copilot is a general assistant tied to Microsoft 365, while Hatz AI is built around MSP multi-client delivery. Workativ and MSPbots focus on IT automation and MSP analytics respectively.
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What is RunSybil? RunSybil is an AI-native offensive security platform that continuously tests applications and infrastructure for exploitable vulnerabilities. It uses adversarial reasoning to mimic how elite security researchers work. Key capabilities of RunSybil Stack mapping: Code, APIs, cloud and infrastructure. Continuous testing: Feedback on every deployment and pull request. Attack-path chaining: Links vulnerabilities across systems. Real-time re-evaluation: Tracks attack surface changes. Business logic validation: Multi-tenant testing. Bug bounty and pentest replacement: Use case listed by vendor. How RunSybil works Instead of a 30-plus day pentest cycle, RunSybil runs a continuous find-fix loop aligned with development speed. It reasons about how components interact and chains findings into attack paths rather than reporting signature matches. Who uses RunSybil? Security and engineering teams. Named customers are Notion, Cursor, Baseten and Carta. RunSybil pricing RunSybil does not publish pricing on its homepage. RunSybil alternatives Lasso Security focuses on LLM security, Console is an IT and security help automation tool, and Crogl automates security investigation. RunSybil specializes in offensive testing.
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IT Ops AI (AIOps) applies machine learning to IT operations, detecting and diagnosing incidents, reducing alert noise, automating remediation, and predicting issues, to keep systems reliable and teams focused. This guide explains what AIOps is, how it works, what matters, and how to choose one.
IT Ops AI (AIOps) applies machine learning to IT operations, detecting and diagnosing incidents, reducing alert noise, automating remediation, and predicting issues, to keep systems reliable and teams focused. This guide explains what AIOps is, how it works, what matters, and how to choose one.
AIOps (AI for IT operations) uses machine learning and analytics on IT telemetry, metrics, logs, traces, and events, to detect anomalies, correlate and reduce alerts, diagnose root causes, and automate or recommend remediation.
It spans AIOps platforms, observability tools with AI/ML features, and AI assistants for IT service management (ITSM) and incident response.
The category exists because modern systems generate overwhelming telemetry and alerts. Buyers weigh signal quality (noise reduction and accurate root cause), integration with their observability and ITSM stack, automation safety, and how much it actually reduces incidents and toil.
AIOps ingests telemetry from across the stack, learns normal behavior, detects anomalies, correlates related alerts into incidents, surfaces probable root causes, and triggers or recommends remediation, reducing noise and speeding resolution.
Platforms combine data ingestion from monitoring/observability and ITSM tools, anomaly detection and correlation models, root-cause analysis, and automation/runbooks.
IT and SRE teams connect data sources, tune detection and automation, and use AIOps to triage and resolve incidents faster, with humans approving or overseeing automated actions.
Learn normal behavior and detect issues across metrics, logs, and traces early.
Group related alerts into incidents to cut noise and alert fatigue.
Surface probable root causes to speed diagnosis and resolution.
Trigger runbooks and automated fixes, with approvals and guardrails.
Forecast capacity issues and potential failures before they occur.
Integrate with monitoring, observability, and ITSM tools for end-to-end workflow.
Correlation and noise reduction cut alert fatigue so teams focus on real issues.
Root-cause analysis and automation speed incident resolution.
Early anomaly detection and prediction prevent incidents before they escalate.
Automating routine remediation frees engineers from repetitive work.
Manage complex, high-telemetry systems that overwhelm manual ops.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| AIOps platforms | Correlation, RCA, automation | Mid-market to enterprise | End-to-end ops intelligence | Integration and tuning |
| Observability + AI | AI features in monitoring tools | Any | Unified with telemetry | Scope tied to that tool |
| Incident response AI | Triage and on-call assistance | Any | Faster incident handling | Needs good data |
| ITSM AI | Service desk and ticket automation | Any | Automates IT service work | Different focus than ops |
Technology: Technology IT and SRE teams use AIOps to reduce alert noise, detect and diagnose incidents faster, automate remediation, and predict issues, keeping systems reliable as complexity grows.
Healthcare: Healthcare IT and SRE teams use AIOps to reduce alert noise, detect and diagnose incidents faster, automate remediation, and predict issues, keeping systems reliable as complexity grows.
Financial Services: Financial Services IT and SRE teams use AIOps to reduce alert noise, detect and diagnose incidents faster, automate remediation, and predict issues, keeping systems reliable as complexity grows.
Retail & E-commerce: Retail & E-commerce IT and SRE teams use AIOps to reduce alert noise, detect and diagnose incidents faster, automate remediation, and predict issues, keeping systems reliable as complexity grows.
Education: Education IT and SRE teams use AIOps to reduce alert noise, detect and diagnose incidents faster, automate remediation, and predict issues, keeping systems reliable as complexity grows.
Professional Services: Professional Services IT and SRE teams use AIOps to reduce alert noise, detect and diagnose incidents faster, automate remediation, and predict issues, keeping systems reliable as complexity grows.
Manufacturing: Manufacturing IT and SRE teams use AIOps to reduce alert noise, detect and diagnose incidents faster, automate remediation, and predict issues, keeping systems reliable as complexity grows.
Media: Media IT and SRE teams use AIOps to reduce alert noise, detect and diagnose incidents faster, automate remediation, and predict issues, keeping systems reliable as complexity grows.
Test noise reduction and root-cause accuracy on your environment, this is the core value.
Confirm integration with your monitoring, observability, and ITSM tools.
Review guardrails, approvals, and rollback for automated remediation.
Verify it handles your telemetry volume and complexity.
Assess how much tuning and learning time before it delivers real noise reduction.
Understand data-volume, node, or seat pricing and how it scales.
Generative AI is adding conversational incident investigation and on-call copilots.
Autonomous remediation is expanding, with humans overseeing rather than executing.
Predictive and preventive ops are reducing incidents before they happen.
Buyers should prioritize signal quality, stack integration, automation safety, and measurable MTTR and noise reduction.
AIOps (AI for IT operations) applies machine learning and analytics to IT telemetry, metrics, logs, traces, and events, to detect anomalies, correlate and reduce alerts, diagnose root causes, and automate or recommend remediation. It spans AIOps platforms, observability tools with AI features, and AI assistants for incident response and IT service management, helping teams keep complex systems reliable.
It correlates related alerts from across the stack into single incidents and filters out noise, so instead of hundreds of disconnected alerts, teams see a few meaningful incidents. This cuts alert fatigue and helps engineers focus on real problems. Noise reduction and accurate correlation are among the most valuable AIOps capabilities, test them on your data.
Yes, AIOps can trigger automated runbooks and remediation for known issues, though safe deployment uses guardrails, approvals, and rollback so automation doesn't cause incidents. Many teams start with recommended actions and human approval, then expand autonomous remediation as confidence grows. Review automation safety controls carefully.
It can, by detecting anomalies early, speeding root-cause analysis to lower mean time to resolution (MTTR), and predicting issues before they escalate. Impact depends on signal quality and integration. Measure noise reduction, MTTR, and incident volume against a baseline to verify real improvement rather than relying on claims.
AIOps ingests data from your monitoring, observability, logging, and ITSM tools and pushes incidents and actions back into them. Integration breadth and depth vary and are essential to value, since AIOps sits on top of your telemetry. Confirm support for your specific observability and ITSM stack before adopting.
AIOps needs time to learn your environment's normal behavior before anomaly detection and correlation become accurate, and integration and tuning take effort. Time to value varies by tool and complexity. Ask vendors about typical ramp time and what tuning is required, and pilot to confirm it delivers noise reduction in your environment.
Telemetry can contain sensitive operational and sometimes personal data, and volumes are large. Confirm encryption, access controls, data residency, retention, and whether your data trains shared models. Review security and cost (often tied to data volume) carefully given the scale of telemetry involved.
Prioritize signal quality (noise reduction and root-cause accuracy) on your environment, integration with your monitoring and ITSM stack, automation safety controls, scalability to your telemetry, time to value, and pricing. Pilot in a real environment and measure noise reduction and MTTR before rolling out broadly.