Best IT Ops AI AI Agents

What is Sedai? Sedai is an autonomous cloud optimization AI agent offering an autonomous cloud platform that uses AI to optimize cost, performance and availability in production. Founded in 2019 and based in San Francisco, California, USA, Sedai helps platform and SRE teams automate autonomous cloud optimization work and get results faster. Key capabilities of Sedai Autonomous rightsizing Performance optimization Availability remediation Kubernetes and serverless support Autonomous actions with guardrails Savings reporting How Sedai works Sedai takes metrics and cloud config as input and produces actions and insights. 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 Kubernetes, so the agent works inside existing workflows. Who uses Sedai? Sedai is built for platform and SRE teams. It suits teams that want autonomous rightsizing and performance optimization without adding headcount, while keeping people in control of review and final decisions. Sedai vs CAST AI Sedai is often compared with CAST AI. Sedai stands out for autonomous rightsizing and availability remediation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is Dynatrace Davis AI? Davis AI is the AI engine of the Dynatrace observability platform. Dynatrace says its causal AI works on the unified Grail data lakehouse and the Smartscape real-time dependency graph to produce consistent insights that can drive automated actions. Key capabilities of Dynatrace Davis AI Causal root cause analysis: pinpoints causes using dependency data Predictive alerts: forecasts issues before impact Dynatrace Assist: natural language interface to explore data and next steps Developer agent: detects anomalies, diagnoses root causes and recommends code-level fixes SRE agent: stabilizes cloud and Kubernetes operations Security agent: triages findings and starts remediation workflows How Dynatrace Davis AI works Dynatrace calls its approach deterministic AI: causal AI produces reliable answers from Grail data and the Smartscape graph, and agentic AI uses those answers to reason toward autonomous operations. Teams ask questions in Dynatrace Assist, and specialized agents handle developer, SRE and security tasks. Remediation runs through workflows and runbooks. Who uses Dynatrace Davis AI? Platform engineering, SRE, DevOps and security teams at larger organizations running cloud and Kubernetes workloads use it. A partner ecosystem supports bidirectional collaboration between agents. Dynatrace Davis AI pricing The Dynatrace AI page does not state pricing. Dynatrace sells its platform on a usage-based subscription, so cost depends on monitored environment and consumption. Request a quote from Dynatrace for your setup. Dynatrace Davis AI alternatives Alternatives include Datadog Bits AI for assistant-driven observability, New Relic AI for query help and insights, ServiceNow Now Assist for IT workflow AI, BigPanda for event correlation, and Resolve.ai for incident resolution agents.

What is Exaforce? Exaforce is an agentic Security Operations Center and managed detection and response platform. Four AI agents called Exabots detect threats, triage alerts, investigate incidents and respond with analyst oversight. Key capabilities of Exaforce Detect Exabot: Threat detection intended to cut SIEM noise. Triage Exabot: Automated alert prioritization; the vendor claims a 90% cut in false positives. Investigate Exabot: Threat hunting without writing complex SIEM queries. Respond Exabot: Automated response actions with analyst oversight. Unified data platform: Ingests logs from 100+ sources and aims to replace the SIEM. Knowledge graph: Real-time context from semantic, knowledge and behavioral models. How Exaforce works Exaforce ingests identity, cloud, endpoint, code, SaaS and email data into one platform and builds a knowledge graph for context. Its models combine semantic, knowledge and behavioral analysis. It runs in two modes: self-managed, where your team operates the platform with Exabots automating work, or managed, where Exaforce analysts and Exabots operate as your 24/7 SOC. Who uses Exaforce? Security operations teams in healthcare, fintech and technology use Exaforce. Named customers include Guardant Health, Forcepoint, Lumilens, Commonwealth Fusion Systems and Accton. Exaforce pricing Exaforce does not publish prices. Quotes come through a demo request. Exaforce alternatives Related tools include Terra Security, Ethiack, RunSybil, Resolve.ai and Dynatrace Davis AI, which cover adjacent security testing and AI operations.

What is Ravenna? Ravenna is a Slack help desk AI agent offering an AI-native help desk that answers and routes internal requests for IT, HR and ops in Slack. Founded in 2024 and based in Seattle, Washington, USA, Ravenna helps IT and internal ops teams automate Slack help desk work and get results faster. Key capabilities of Ravenna Slack-native ticketing AI answers from knowledge Request routing Workflow automation Root cause analysis Approval workflows How Ravenna works Ravenna 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 Slack, Microsoft Teams, Jira and ServiceNow, so the agent works inside existing workflows. Who uses Ravenna? Ravenna is built for IT and internal ops teams. It suits teams that want Slack-native ticketing and AI answers from knowledge without adding headcount, while keeping people in control of review and final decisions. Ravenna vs Atomicwork Ravenna is often compared with Atomicwork. Ravenna stands out for Slack-native ticketing and request routing. The right choice depends on your workflow, integrations and budget, so compare both on a real task.

What is PagerDuty? PagerDuty is an incident management and response platform for operations and engineering teams. Its AI capabilities are packaged as AI agents under the PagerDuty Advance add-on. Key capabilities of PagerDuty SRE Agent (Paige): Detects, triages and diagnoses incidents and performs approved remediation. Scribe Agent: Captures incident meetings and channel conversations for status updates and reviews. Shift Agent: Detects on-call conflicts and finds replacements. Insights Agent: Gives on-demand insights and recommendations in chat. Remote MCP server: Connects PagerDuty to third-party AI agents. 750+ integrations: Native integrations with monitoring and ITSM tools. How PagerDuty works PagerDuty ingests alerts from monitoring tools, routes them to on-call responders and runs incident workflows. The SRE Agent triages and diagnoses, then performs remediation only after approval. Scribe records the incident conversations so teams can draft status updates and post-incident reviews. Who uses PagerDuty? PagerDuty is used by on-call, SRE, DevOps and IT operations teams. AI agents are sold as Advance, an add-on to Professional, Business and Enterprise plans. PagerDuty pricing PagerDuty Advance is an add-on that requires a Professional, Business or Enterprise plan. Third-party pricing sources list Advance from $415 per month. Current plan prices are on the vendor pricing page. PagerDuty alternatives Alternatives include Opsgenie, which offers alerting and on-call, incident.io, which focuses on Slack-based incident response, and Datadog On-Call, which pairs paging with observability.

What is Simbian? Simbian is an AI-powered security operations platform that automates threat detection, incident response and related work. It reports operating in 300+ enterprise environments. Key capabilities of Simbian AI SOC Agent: Investigates alerts to verdicts. AI Threat Hunt Agent: Tests hypotheses on historical data. AI Pentest Agent: Continuous exploit validation. AI NetSecOps Agent: Firewall and network policy management. Context Lake: Persistent memory of assets, identities and verdicts. Detection rules: Generated in native SIEM query languages. Ticketing: Files tickets in ITSM systems. How Simbian works Agents read from 100+ security sources such as SIEM, EDR, XDR and vulnerability feeds and reason to a verdict rather than follow static playbooks. The Context Lake stays inside the customer environment, and 95% of proposed actions require team approval. Customer data never trains public models. Who uses Simbian? Enterprises, MSSPs, MDRs and regulated sectors such as financial services and utilities. Simbian pricing Simbian does not publish pricing on its homepage. Simbian alternatives Exaforce and Conifers.ai also build AI SOC agents, and Splunk AI adds AI inside Splunk. Simbian bundles SOC, hunt, pentest and network agents.

What is Vermillio? Vermillio is an AI licensing and content protection platform. Its flagship TraceID technology monitors online content for use of intellectual property and name, image and likeness, and can send takedown requests and manage payments for licensed content. Key capabilities of Vermillio TraceID monitoring: Detects use of IP, name, image and likeness. Takedown requests: Sent automatically. Licensing management: Terms, conditions and usage rights. Attribution: Ties generated works back to original IP. Payment management: For licensed content. Likeness protection: Protects talent from unauthorized AI content. How Vermillio works TraceID scans for matches to protected content and likeness across online and generative AI outputs. Rights holders can issue takedowns or license usage and receive compensation. In a Sony Pictures Spider-Verse project, 1.5 million fan generations were tracked back to the original IP. Who uses Vermillio? Talent, studios and rights holders. Vermillio works with talent agency WME and Sony Pictures. Sony Music and DNS Capital led its $16M Series A in March 2025. Vermillio pricing Vermillio does not publish pricing, and its website could not be reached during research. Vermillio alternatives Resolve.ai and Dynatrace Davis AI are observability tools, so they are not direct competitors. Vermillio sits in AI rights and likeness protection.

What is Recorded Future? Recorded Future is a cybersecurity threat intelligence company that helps organizations detect and stop threats before attacks occur. It is owned by Mastercard. Key capabilities of Recorded Future Cyber Operations: Hunt and stop weaponized threats Digital Risk Protection: Detect and remove external threats targeting brands and customers Third-Party Risk: Monitor supplier compromises and vendor vulnerabilities Payment Fraud Intelligence: Identify compromised cards and infected merchants Intelligence Graph: Correlates technical sources, dark web, open web and adversary infrastructure Autonomous Threat Operations: Deploys intelligence across security stacks at machine speed Insikt Group: Human expert analysis How Recorded Future works The Intelligence Graph correlates signals across technical sources, the dark web, the open web and adversary infrastructure. Insikt Group analysts add expert context, and 100+ native integrations push intelligence into security tools. The vendor says agentic processing can turn a threat disclosure into a production-ready detection in about 31 minutes. Who uses Recorded Future? Security operations teams, fraud teams and governments protecting critical infrastructure. It was named a Leader in the 2026 Forrester Wave for External Threat Intelligence. Recorded Future pricing Recorded Future does not publish pricing and sells through sales. Recorded Future alternatives Alternatives include Dropzone AI and Prophet Security for AI SOC analysts and 7AI for agentic security operations.

What is XBOW? XBOW is an AI-driven autonomous pentesting platform that identifies and validates exploitable vulnerabilities in applications and APIs. It reports only findings backed by proof of exploitability. Key capabilities of XBOW Autonomous exploration: Explores apps like a real attacker. Exploit chaining: Links vulnerabilities into full attack paths. Exploit validation: Reproduces each finding before reporting. Scope control: Operates within defined scopes. Audit logging: Full logs of actions. Compliance alignment: Aligns with SOC 2, ISO 27001, PCI DSS and NIS 2. How XBOW works XBOW autonomously discovers weaknesses in web applications and APIs, chains them into attack paths and runs reproducible exploits to confirm each finding before it reaches developers. It stays within defined scope and writes full audit logs. Who uses XBOW? Security teams and AppSec engineers. The vendor says 150+ teams use it, including Moderna, Superhuman, PuppyGraph and BloomPath, and that it ranked first on the HackerOne leaderboard in June 2025. XBOW pricing XBOW does not publish prices on its homepage. Contact the vendor for a quote. XBOW alternatives Command Zero and Simbian assist security investigations, Crogl focuses on SOC analysis, and Serval and Ravenna automate IT help desks. XBOW is offensive testing.

What is Abstract Security? Abstract Security is a composable SIEM (security information and event management) platform that splits a monolithic security stack into modular parts for collection, detection, retention and AI-assisted operations. Key capabilities of Abstract Security Security data fabric: Normalizes, enriches, filters and routes data from cloud, SaaS, network, endpoint and identity sources. Multi-model detection: In-stream, historical and distributed detections for real-time and retroactive analysis. Tiered retention: Real Time, Hot and Warm storage tiers match data value to storage cost. AI-enabled SecOps: AI-assisted triage, context-rich investigations and threat hunting in one analyst workbench. How Abstract Security works Logs from cloud, SaaS, network, endpoint and identity systems enter the data fabric, where they are normalized, enriched, filtered and routed by analytical intent instead of being indexed identically. Detections run in-stream or against stored data. Analysts then triage and investigate in a unified workbench with AI assistance. The vendor shows one example VPC Flow pipeline cutting 280GB of input to 66GB, about 35% less storage volume. Who uses Abstract Security? Security operations teams that want to lower SIEM ingestion cost or add detection in front of an existing SIEM. Named customers include OneMain Financial, Juul Labs, Altana and OmegaBlack. The company announced $25M in growth funding. Abstract Security pricing The vendor does not publish prices. Access starts with a demo request, and no free tier or trial is listed on the site. Abstract Security alternatives Abstract Security is often compared with Cribl, which focuses on data pipelines, and with full SIEM suites such as Splunk and Microsoft Sentinel, which it can also feed.

What is Pillar Security? Pillar Security is an AI security platform that discovers, tests, secures and governs AI agents and applications across their lifecycle. It catalogs agents, models, prompts, MCPs, skills and tools, and finds shadow AI. The vendor was named a 2026 Gartner Cool Vendor in AI Software Security and lists SimilarWeb, Eleos and AvidXchange as customers. Key capabilities of Pillar Security AI asset discovery: inventories agents, models, prompts, MCPs, skills and tools Shadow AI detection: identifies unapproved AI systems Agentic red teaming: tests multi-turn adversarial attacks and returns attack transcripts Adaptive guardrails: runtime controls that refine from real interactions Data privacy enforcement: protects PII, PHI and credentials Compliance mapping: automated mapping to leading frameworks Agent monitoring: observes agent behavior and dependencies How Pillar Security works Pillar first builds an inventory and dependency map of AI assets, then runs red team attacks to validate exposure. At runtime, guardrails inspect interactions and block policy violations while monitoring agent behavior. The platform deploys in customer VPCs, uses role-based access controls and holds SOC 2 Type II compliance. Who uses Pillar Security? Security, governance and AI platform teams use Pillar to find and control AI risk. The vendor says it was recognized in 8 of 9 OWASP Agentic AI Security categories. Pillar Security pricing Pillar Security does not publish pricing. Contact the vendor for a demo and quote. Pillar Security alternatives Pillar Security is compared with Noma Security, Straiker and WitnessAI. Noma also covers AI discovery and runtime protection, and WitnessAI focuses on employee AI usage visibility and policy.

What is Intezer? Intezer is an AI-powered security operations center (SOC) platform that automates alert triage, investigation and response. The vendor says it investigates 100% of alerts at forensic depth, including low-severity signals that human teams often skip. Key capabilities of Intezer Alert triage: Multiple AI models give consistent verdicts on incoming alerts Forensic investigation: Endpoint analysis, memory scanning and reverse engineering False positive resolution: The vendor says 98% are resolved in under one minute Automated response: Disable users or isolate devices, or route plans for manual review Detection engineering: Investigation results tune rules and track MITRE ATT&CK coverage Analyst feedback: Users can challenge verdicts, which tunes triage logic How Intezer works Alerts arrive from connected security tools. Intezer applies forensic techniques such as memory scanning and reverse engineering together with built-in threat intelligence and several AI models, then returns a verdict and a remediation plan. Actions can run automatically or wait for approval, and feedback from analysts tunes both triage and detection rules to the environment. Who uses Intezer? Intezer is aimed at enterprise security teams that want to close MDR gaps and reduce alert fatigue, and at managed security service providers. Its site cites 150+ customers including Salesforce, MGM Resorts, NVIDIA and Equifax. Intezer pricing Intezer uses endpoint-based pricing with no volume fees, so cost scales with the number of endpoints rather than alert counts. It does not publish a rate card, so you need to contact the vendor for a quote. Intezer alternatives Alternatives include 7AI and Radiant Security, which also automate SOC investigation with AI, and Qevlar AI, which focuses on alert investigation. Intezer emphasizes forensic depth and endpoint-based rather than volume-based pricing.