#SOC
10 tools curated for you
Prevent data exfiltration by building full context behind every user signal, connecting behavior, permissions, and conversation into a single human-readable picture. Identify credible flight risks by tracking job-search activity, sudden behavioral shifts, and access pattern changes across all systems. Stop misuse before it escalates with real-time, light-touch course corrections that guide employees instead of blocking productivity. Uncover hidden risks across SaaS, endpoints, and identity by unifying behavioral fragments from disparate platforms into a single investigation. Detect sentiment-driven threats through omnidirectional analysis of tone, recipients, and flow across all communication tools. Produce defensible investigations by focusing on understanding and acting on human intent, not just data movement or anomalies.
Eliminate alert fatigue by having the agentic auto triage feature intelligently prioritize alerts based on potential impact, so security teams focus only on critical risks. Accelerate root cause analysis from hours to minutes with the AI-Powered Case Orchestration and AI Investigator Engine that delivers contextualized threat insights. Proactively uncover hidden threats across hybrid environments using the continuous AI threat hunting tool, strengthening overall security posture without manual effort. Streamline incident response actions with AI-Assisted Incident Response & Containment that combines guided automation and AI analytics to contain threats faster. Detect and respond to identity-based attacks across users and services through integrated identity threat detection & response (ITDR), stopping credential abuse early. Surface anomalous user and entity behaviors with UEBA that uses adaptive behavioral modeling to flag malicious activity before it escalates. Correlate data from any security tool without vendor lock-in using the open XDR architecture, enabling unified cross-telemetry signal analysis for richer threat detection. Operate multiple clients or departments from a single pane of glass with unified multi-tenant management, eliminating the need for separate monitoring systems. Enrich every detection with real-time adversary intelligence from the built-in threat intelligence platform (TIP), keeping SOC teams ahead of evolving threats. Consolidate log analytics into a modernized, augmented SIEM that processes vast data volumes in real time for faster, more accurate threat detection and response.
Achieve near-perfect device classification accuracy across your OT and IoT networks using Asset Intelligence and passive and active sensor data collection. Stop zero-day vulnerabilities before they disrupt operations through pre-emptive threat awareness delivered by the Threat Intelligence add-on. Maintain continuous compliance with rigorous industry standards and regulations via integrated vulnerability management and AI-driven threat detection. Extend your security team's reach without adding headcount by relying on AI-powered analysis that enriches asset profiles and baselines normal behavior. Make faster, informed decisions across the organization with all collected data analyzed at scale for actionable insights. Protect safety-critical OT environments that use insecure protocols by deploying tailored solutions that prioritize availability and safety. Retain full control over sensitive operational data with on-premise centralized management, or scale effortlessly with cloud-based deployment options.
Slash Tier 1 and Tier 2 security task overload by up to 80% — agentic AI personas autonomously manage alerts, detect threats, and handle exposures. Stop breaches before they start with proactive threat detection at the source — AI identifies and contains risks instantly, not after damage. Cut investigation time on every alert with native attack simulation and dark web monitoring — AI gains extra context for faster, more accurate responses. Eliminate model lock-in and ensure optimal outcomes every time — model-agnostic AI layer selects the best model per use case, data type, and performance needs. Trust your AI decisions with continuously refined behavior — active engineers and cyber experts guide AI accuracy over time. Free your senior analysts for critical, high-value work — agentic AI handles routine detection, intelligence, and exposure management without human oversight.
Stop threats in real-time by leveraging advanced AI and natural language processing to simplify and speed up threat analysis Detect hidden threats faster with a Unified Security Data Lake that provides complete visibility and AI-guided insights across all security data Prioritize high-risk incidents immediately through AI-guided workflows that deliver context and automate triage for SOC and CTI teams Respond to threats at machine speed by unifying ETL, SIEM, XDR, UEBA, and SOAR capabilities into a single, all-in-one platform Eliminate blind spots in threat hunting by transforming raw security data into actionable threat intelligence with curated access to ThreatStream Next-Gen Meet compliance requirements efficiently using an integrated platform that streamlines threat detection, investigation, and response workflows Expand threat detection capabilities instantly by trialing and purchasing vetted threat intelligence feeds from the Anomali Marketplace
Surface only genuine threats across IaaS, SaaS, code, and identity systems by deploying multi-model AI engines that filter billions of events and remove benign activity. Close SIEM blind spots with detection extended to Google Workspace, Slack, and GitHub, catching credential compromise, insider threats, and SaaS abuse traditional systems miss. Act on every alert with confidence because each one includes clear, understandable, and defensible reasoning backed by transparent data. Tailor detection to your exact environment using a visual Query Builder or natural language instructions, without needing custom code. Stop chasing false positives as AI engines continuously analyze event streams, separating routine activity from genuine risk signals. Maintain an upper hand against AI-driven attackers by using multi-model AI that keeps pace with modern, automated threats in cloud and SaaS environments. Secure critical business activity on platforms like Google Workspace, Slack, and GitHub where traditional SIEMs have detection gaps. Scale SecOps without adding headcount by relying on AI that processes billions of events in real time, delivering only high-risk alerts to your team.
Slash Mean Time to Resolution (MTTR) by automating alert triage and investigation from summary to conclusion Autonomous investigation emulates a Tier-1 and Tier-2 analyst, retrieving and correlating data from SIEMs, security data lakes, and tools Focus analyst expertise on high-impact security tasks by eliminating manual alert handling and deduplication Respond to critical threats first with AI-driven alert prioritization based on severity after investigation Eliminate redundant work and speed up response with automatic deduplication of related alerts Accelerate incident response with concrete, action-oriented remediation steps delivered immediately after investigation Optimize SOC performance with a real-time dashboard showing alert dwell time, mean time to investigate, and mean time to resolve Continuously improve alert accuracy as Prophet AI learns from every analyst feedback and adapts to your environment
Resolve security alerts in minutes instead of hours with autonomous AI agents that perform data enrichment, context correlation, and conclusion formation at machine speed Eliminate alert fatigue and reduce false positives by having AI agents dynamically incorporate enterprise context, organizational policies, and user roles during each investigation Achieve complete incident visibility from a single source of truth as AI agents auto-populate cases with investigation findings, maintain a full audit trail, and correlate related alerts Focus your team on proactive threat hunting instead of repetitive triage as AI agents handle alert ingestion, investigation, and routine remediation autonomously Respond to threats with confidence using flexible remediation options driven by AI investigation conclusions, not just predefined playbooks, including isolating endpoints or disabling accounts Streamline team collaboration and handoffs with AI agents that record every investigation step, preserve context, and make findings immediately available for analyst review
Stop chasing false alarms and focus on genuine threats, using domain-specific language models that understand attacker behavior instead of matching patterns. Cut threat detection time from hours to minutes, as the AI-native platform analyzes every alert autonomously and prioritizes only what matters. Get 24/7 expert guidance without staffing a full SOC, because human analysts operate the system around the clock and act on AI-prioritized alerts. Reduce manual investigation workload, as the system autonomously gathers and correlates data across the entire security stack and provides clear, actionable steps. Stay ahead of emerging attack techniques without manual updates, because the platform continuously ingests live threat intelligence and adapts in real time. Scale security coverage across your existing infrastructure without rip-and-replace, since TENEX.ai integrates with over 300 tools and hyperscalers like Google, Microsoft, and AWS. Eliminate alert fatigue completely, as the combination of AI analysis and human verification filters out false positives and surfaces only critical incidents.
Stop chasing false positives and focus on real threats by consolidating alerts from every source into a single, AI-prioritized view. Cut investigation time from hours to minutes by initiating probes directly from any intelligence source—URLs, PDFs, or queries. Prevent ransomware and phishing attacks before they spread with configurable agents that learn your network patterns and surface anomalies under human supervision. Deliver audit-ready findings with full traceability using Evidentiary AI that links every insight back to confirmed sources. Maintain data sovereignty and compliance by deploying in SaaS, air-gapped, or hybrid environments without sacrificing AI-driven threat detection. Accelerate cloud and endpoint analysis by correlating logs across environments to reconstruct timelines and assess blast radius in seconds. Detect identity-based threats like credential misuse and privilege abuse automatically, confirming risk and containing impact before escalation.