Full-Time
Senior AI Product Architect
Anomali
201-500 employees
Cloud-based threat intelligence platform with subscriptions
No salary listed
No H1B Sponsorship
Dallas, TX, USA
Remote
Remote candidates must be located within the United States. Bay Area candidates are preferred; the Redwood City headquarters schedule is hybrid.
 AI & Machine Learning (1) |
|---|
Get referred to Anomali
See people who can refer or advise you
- Minimum 8 years of experience in software engineering, systems architecture, artificial intelligence platform architecture, product architecture, or technical leadership.
- Demonstrated success defining and delivering enterprise-scale software-as-a-service, cloud-native, data, or artificial intelligence platforms.
- Deep expertise in enterprise artificial intelligence or agentic platform architecture.
- Deep expertise in large-scale data and distributed platform architecture.
- Experience translating product strategy into technical architecture, delivery sequencing, and implementation plans.
- Experience leading complex cross-functional initiatives from concept through production delivery.
- Demonstrated ability to lead engineers and technical teams through influence rather than direct reporting relationships.
- Strong experience partnering with Product Management organizations.
- Experience making and documenting architectural trade-offs involving scope, timing, performance, scalability, security, and cost.
- Strong executive communication and presentation skills.
- Ability to engage credibly with technical executives, architects, security leaders, and strategic customers.
- Strong technical depth in artificial intelligence platform and agentic system architecture; distributed systems and cloud-native applications; application programming interfaces, microservices, orchestration, and shared platform services; large-scale data platforms supporting artificial intelligence and analytics; data normalization, enrichment, governance, lineage, provenance, and quality; high-volume ingestion and streaming architectures; enterprise security architecture and security operations; human-in-the-loop and governed autonomous decision systems; and identity, authorization, auditability, and policy enforcement for artificial intelligence agents.
- Ability to evaluate architecture and guide specialists across data lake and lakehouse technologies; petabyte-scale storage and data lifecycle management; distributed search and low-latency retrieval; vector databases and semantic search; retrieval-augmented generation; embeddings, hybrid retrieval, and relevance optimization; machine learning operations and model lifecycle management; feature engineering and inference pipelines; Kubernetes and cloud-native infrastructure; and on-premises, sovereign, regional virtual private cloud, and customer-controlled deployment models.
- Strong understanding of enterprise cybersecurity platforms and operating models.
- Experience with one or more of the following: Security Information and Event Management, threat intelligence, security analytics, extended detection and response, security orchestration automation and response, identity and non-human identity, observability, or artificial-intelligence-driven security operations.
- Ability to understand and communicate operationalized intelligence, governed decisioning, human-in-the-loop artificial intelligence, customer maturity and adoption models, security data unification, Security Information and Event Management augmentation and modernization, and agentic security operations.
- Must not now or in the future require visa sponsorship to work in the United States.
- Define the technical architecture supporting the Intelligent Unification Layer, Governed Decisioning Layer, Agentic Security Operations Center Platform, and Managed Intelligence as a Service.
- Translate product strategy, customer outcomes, and business requirements into scalable architecture and implementation plans.
- Balance near-term delivery requirements with long-term scalability, maintainability, interoperability, and governance.
- Ensure architecture decisions align with the five-level maturity model and support customers at different stages of adoption.
- Own the technical execution strategy for assigned product initiatives.
- Ensure new capabilities align with the long-term artificial intelligence, data, intelligence, and platform vision.
- Lead architecture reviews and approve technical designs for strategic product initiatives.
- Establish architectural principles, engineering standards, and reusable platform patterns.
- Ensure consistency across platform services, application programming interfaces, artificial intelligence models, data services, shared services, and distributed infrastructure.
- Partner with Field Product and Product Management on customer adoption requirements, use cases, product roadmap sequencing, platform evolution, capability delivery, architectural trade-offs, feasibility, sequencing, and dependencies.
- Distinguish capabilities available today, capabilities dependent on customer deployment posture or maturity level, and future roadmap capabilities.
- Define the long-term architecture for artificial-intelligence-driven and agentic security operations.
- Design agent orchestration frameworks, reasoning pipelines, contextual decision systems, artificial-intelligence-assisted workflows, and human-in-the-loop controls.
- Architect the Governed Decisioning Layer to support authorization, traceability, auditability, explainability, rollback, and policy enforcement.
- Define architectural patterns that allow agents to operate against unified, normalized, deduplicated, and contextualized security data.
- Ensure autonomous and semi-autonomous workflows operate within defined risk, identity, permission, and governance boundaries.
- Evaluate emerging foundation models, agent frameworks, artificial intelligence infrastructure, and security technologies for strategic adoption.
- Architect large-scale enterprise data platforms supporting artificial intelligence, analytics, operationalized intelligence, and cybersecurity workloads.
- Define architecture for high-volume ingestion of telemetry, threat intelligence, identity, cloud, endpoint, network, and other security data.
- Design scalable data normalization, enrichment, deduplication, correlation, storage, and retrieval services.
- Ensure platform data is governed, observable, attributable, and suitable for machine-speed analysis and decisioning.
- Define trusted data foundations through governance, lineage, provenance, data quality, access control, and lifecycle management.
- Architect petabyte-scale storage and processing patterns using modern distributed data technologies and open table formats where appropriate.
- Optimize architecture for performance, resiliency, cost efficiency, sovereignty, and customer-controlled deployment requirements.
- Architect solutions supporting cloud, regional virtual private cloud, sovereign cloud, on-premises, and hybrid deployment models.
- Provide architectural direction for distributed search and low-latency retrieval across large security datasets.
- Guide the use of vector databases, semantic search, hybrid search, embeddings, retrieval-augmented generation, and relevance optimization.
- Ensure artificial intelligence systems have access to operationalized intelligence, environmental context, identity context, and historical evidence required to produce trusted outcomes.
- Partner with engineering specialists to optimize indexing, query performance, throughput, and retrieval quality.
- Partner with Data Science and Artificial Intelligence Engineering teams to operationalize models and artificial intelligence capabilities into scalable production systems.
- Define platform architecture supporting inference, model lifecycle management, feature engineering, evaluation, observability, and continuous improvement.
- Establish standards for model and agent evaluation, including accuracy, safety, traceability, resilience, and business outcomes.
- Guide the integration of predictive, generative, and agentic capabilities into the broader product platform.
- Lead the technical direction of cross-functional delivery teams comprising Product Managers, Artificial Intelligence Engineers, Software Engineers, Data Engineers, User Experience, Quality Assurance, DevCloudOps, and other specialists.
- Provide day-to-day technical leadership throughout the software development lifecycle.
- Work with Engineering Managers to align resources, dependencies, technical priorities, and delivery sequencing.
- Remove architectural and technical blockers that threaten strategic initiatives.
- Guide implementation decisions while preserving Engineering’s ownership of execution and operational delivery.
- Ensure technical commitments are realistic, clearly scoped, and consistent with the approved roadmap.
- Maintain architectural documentation, decision records, and clear technical accountability.
- Participate in strategic customer engagements to understand technical requirements, deployment constraints, security posture, and desired business outcomes.
- Represent the architecture thesis with executive customers, strategic partners, analysts, and other external stakeholders.
- Explain the evolution from traditional Security Information and Event Management and threat intelligence operating models toward artificial-intelligence-driven security operations.
- Present technical strategy, architecture, trade-offs, and product direction to executive leadership.
- Drive the architectural evolution of artificial-intelligence-native platform capabilities.
- Champion reusable engineering services, common platform components, and architectural modernization.
- Reduce technical debt through disciplined architecture planning and prioritization.
- Continuously improve platform scalability, performance, resiliency, security, and operational efficiency.
- Mentor architects, engineers, and technical leaders across the organization.
- Promote clear technical decision-making, accountability, and documentation.
- Comply with Anomali security and privacy policies, complete required training, and safeguard sensitive company and customer information in accordance with applicable security standards and regulatory requirements.
- At least 12 years of experience in software engineering, systems architecture, artificial intelligence platform architecture, product architecture, or technical leadership.
- Experience building artificial-intelligence-native enterprise software products.
- Experience designing platforms that support autonomous or semi-autonomous artificial intelligence agents.
- Experience developing security analytics, threat intelligence, or security operations products.
- Experience with high-scale telemetry, security data, or observability platforms.
- Experience presenting architecture and product strategy to Chief Information Security Officers, Chief Information Officers, Chief Technology Officers, and enterprise architecture leaders.
- Experience working in a product-led organization where Product defines direction and priorities and Engineering owns execution and delivery.
- Experience operating in environments requiring strong governance, sovereignty, auditability, and regulatory controls.
Anomali provides threat intelligence solutions to help large organizations and government agencies detect, investigate, and respond to cyber threats. Its cloud-based platform gathers threat data, uses machine learning and analytics to generate insights, and lets customers align threat information with their security events. Core products include ThreatStream (data collection and enrichment), Match (threat-data correlation with an organization’s events), and Lens (threat visibility and prioritization). A key feature is the APP Store, a marketplace where clients can buy additional threat intel, data enrichments, and integrations to extend security operations. The company earns revenue through subscription fees for its platform and services, plus sales in the marketplace. Anomali’s goal is to help security teams stay ahead of threats by providing timely, actionable intelligence and scalable tools for detection, analysis, and response.
Company Size
201-500
Company Stage
Series D
Total Funding
$96.3M
Headquarters
Redwood City, California
Founded
2013
Get referred to Anomali
See people who can refer or advise you
Simplify's Take
What believers are saying
- ThreatStream Next-Gen launched in 2026, validated across 50 enterprise deployments.
- The MSSP Program opened a multi-tenant channel for providers handling regulated customers.
- Chris Vincent joined in August 2025, and Goldman Sachs hosted Anomali in November 2025.
What critics are saying
- Crowded security platforms from Splunk, CrowdStrike, and Palo Alto compress Anomali's pricing power.
- No fresh venture funding since 2018 leaves growth dependent on sales execution and retention.
- If agentic AI disappoints by 2026, customers will consolidate into incumbent platforms.
What makes Anomali unique
- Anomali unifies TIP, SIEM, SOAR, XDR, and UEBA in one data lake.
- ThreatStream Next-Gen uses agentic AI and 150-plus feeds to cut investigations 300x.
- It retains seven-plus years of hot storage for long-horizon threat hunting and compliance.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Remote Work Options
Flexible Work Hours
401(k) Company Match
Company Equity
Wellness Program
Professional Development Budget
Paid Vacation
Paid Sick Leave
Paid Holidays
Performance Bonus
Employee Referral Bonus
Tuition Reimbursement
Gym Membership
Mental Health Support
Home Office Stipend
Phone/Internet Stipend
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -2%2 year growth
↑ 3%Anomali has launched ThreatStream Next-Gen, a threat intelligence platform designed to accelerate security decision-making. The solution, available as a standalone product or embedded within Anomali's Unified Security Data Lake, reportedly validates threats 300 times faster than traditional workflows across 50 enterprise deployments. ThreatStream Next-Gen features AI-driven prioritisation, automated intelligence monitoring through Priority Intelligence Requirements, and integrated case management. The platform includes agentic AI capabilities for autonomous triage and investigation, with full autonomy planned for August 2026. The Redwood City-based company, which has served enterprises and government organisations for over a decade, positions the solution as an intelligence decisioning layer that connects threat data with analyst workflows. Deployment options support both SIEM augmentation and replacement scenarios.
Combine capabilities to strengthen cyber security, says Trinexia SA. Nicholas Applewhite, MD, Trinexia South Africa. Trinexia South Africa, a distributor of advanced cyber security technologies, will sponsor and participate in the ITWeb Security Summit Johannesburg 2026 on 2 and 3 June at the Sandton Convention Centre. Trinexia South Africa is a channel-focused business that works with global vendors and regional partners to bring critical security capabilities to organisations across the region. The company's role is to enable the market by connecting the right technologies, expertise and partners so organisations can better protect their digital environments. ITWeb Security Summit 2026 To learn more about defending organisations against today's evolving cyber threats, register for ITWeb Security Summit Cape Town 2026 or ITWeb Security Summit 2026 in Johannesburg, where global and local experts will unpack the latest security trends and solutions. Trinexia will join industry partners, including CyberArk, Silverfort, Rapid7, Anomali and Magnet Forensics at the summit to add perspective on the wider cyber security discussion. Specifically, the companies will focus on how organisations need to approach cyber security as a combination of several critical areas working together. "Identity security, threat visibility, digital risk and investigative capability are all becoming essential components in understanding and responding to modern cyber threats," says Nicholas Applewhite, MD of Trinexia South Africa. "Cyber security today requires organisations to think more holistically about how they protect their environments. Identity security, threat visibility, digital risk and investigative capability all play a role in helping organisations understand and respond to modern attacks. When these capabilities work together, organisations are far better positioned to respond to incidents and strengthen their defences over time," Applewhite continues. He adds that AI is already influencing how cyber threats evolve, but the bigger challenge for many organisations is the speed at which the security landscape is changing. "Attacks are becoming more automated, environments are becoming more complex and security teams are often stretched. Building resilience today requires a combination of the right technologies, strong identity controls, better visibility of threats and collaboration across the wider security ecosystem," Applewhite explains. Trinexia's core message to its market is that cyber security is a collaborative effort and real resilience comes from the combination of the right technologies, the right partners and the right expertise working together.
Anomali to showcase vision for ai-powered threat intelligence at Black Hat MEA 2025. Samer Jadallah, Vice President, Sales - Middle East and Africa, Anomali, spoke to Tahawultech.com about how AI-native threat intelligence, unified analytics, and cloud-ready architectures are transforming cyber defence in Saudi Arabia and beyond. Black Hat MEA 2025 arrives at a pivotal moment for the region's cybersecurity landscape, where AI-driven threats, hybrid-cloud expansion, and large-scale national digital programmes are reshaping security priorities across Saudi Arabia. Organisations are demanding deeper visibility, faster response capabilities, and intelligence-driven operations that can keep pace with both the scale and sophistication of modern adversaries. Anomali is preparing to showcase its vision for the future of threat intelligence - one built on agentic AI, unified analytics, and cloud-native security architectures designed for the Kingdom's rapidly evolving digital infrastructure. The company's leadership sees Saudi Arabia not only as a major hub for innovation but as a global benchmark for how nations can build cyber resilience at scale. During a conversation with Tahawultech.com, Samer Jadallah, Vice President - Middle East and Africa, Anomali, shared insights into how Anomali is enabling faster decision-making, proactive threat hunting, and seamless visibility across complex environments. Jadallah also reflected on Black Hat MEA's transformation into a global cybersecurity powerhouse and what the industry can expect from the 2025 edition. What is your perspective on Black Hat MEA's evolution and what do you expect from the 2025 edition? I've attended Black Hat MEA from the very first edition, and it exceeded global expectations from day one. Every year, it becomes bigger, more sophisticated, and more influential. Last year's event surprised the global industry - not just in scale, but in the quality of insights and the depth of discussions. Today, Black Hat MEA is no longer a regional event. It attracts audiences from the US, Europe, and Asia - everyone wants to understand what Saudi Arabia is doing and how they can be part of this success story. I expect 2025 to bring even more surprises, strategic topics, and global participation. How can Anomali help organisations maximise their existing security resources and reduce investigation and remediation times? At Anomali, everything Tahawul Tech do centres on shortening the time to detect and the time to respond. Its platform gives organisations deep visibility across their entire environment and allows them to instantly understand whether they are under attack, exposed, or safe. Unlike legacy technologies that offer a limited search window - often 60 or 90 days - Tahawul Tech provide access to years of historical security data within seconds. This eliminates panic during incidents. Even small teams can operate at the scale of much larger SOCs because its platform automates correlation, analysis, and prioritisation. With this level of visibility and automation, organisations can confidently trust every critical alert and act much faster. How can organisations shift from reactive detection to proactive threat hunting with real-time threat intelligence? Proactive defence requires speed. When an attack happens anywhere in the world - whether in aviation, oil and gas, or government - security teams need actionable intelligence in real time. Anomali integrates intelligence from more than 150 trusted global feeds, removes false positives and irrelevant noise, and presents only high-fidelity alerts that matter to the organisation. Its threat-hunting workflow is powered by agentic AI combined with human expertise. Tahawul Tech always say: "It's not AI versus AI; it's AI plus the human." This combination allows organisations to identify whether a global threat is relevant to them, determine exposure instantly, and act before attackers gain a foothold. With AI accelerating both attacks and defences, how is Anomali using AI to improve correlation, attribution, and analyst decision-making? AI has completely changed the rules of the game, both for attackers and defenders. A traditional investigation into a major global cyberattack could take days or weeks - and often happens during weekends or critical business hours. With Anomali, that entire process is reduced to under 15 seconds. Its AI engine analyses the attacker's TTPs, behaviours, and DNA of the attack, and compares it with up to 10 - 15 years of security telemetry. Tahawul Tech support more than 25 languages, including Arabic, so analysts can simply ask questions in natural language: "Am I exposed to this threat?" or "Show me the steps to protect my environment." This transforms decision-making and removes the need for complex queries or specialist skills. As workloads move to the cloud, how is Anomali's cloud-native platform enabling unified visibility across hybrid and multi-cloud environments? Cloud adoption is accelerating everywhere - and Saudi Arabia is no exception. Anomali was built cloud-native from day one on AWS, giving customers high availability, lower operational cost, and real-time updates. For the Middle East, Tahawul Tech has aligned closely with local cloud strategies. * Tahawul Tech launched support for AWS UAE cloud during GITEX. * For Saudi Arabia, Tahawul Tech is fully aligned with AWS Saudi, which will go live locally in 2026. * For highly restricted environments such as defence, Tahawul Tech offer a fully air-gapped deployment. "Customers can choose fully cloud, hybrid, or on-prem - whatever meets their regulatory obligations. Our flexibility ensures every organisation can secure distributed environments without compromising data residency." During large-scale events like Black Hat MEA, SOC teams face high alert volumes. What threat-intelligence capabilities are critical to maintain visibility and reduce false positives? This is where its AI engine, Macula, becomes crucial. SOC teams are often flooded with alerts during peak periods, making it impossible to manually inspect everything. Macula sits at the core of its threat intelligence engine, collecting feeds from 150+ sources, eliminating false positives, deduplicating data, and surfacing only what is relevant. Instead of searching for "one grain of rice in a 10-kg sack," analysts receive a clean, prioritised, high-quality set of alerts. Nothing is missed, and analysts no longer rely on random sampling, which is the unfortunate reality in overloaded SOC environments. How does Anomali's unified threat-intelligence platform consolidate detection, investigation, and response for multi-vector cyberattacks? Most organisations use fragmented solutions - TIPs, SIEMs, SOARs, AI tools, each working in silos. Anomali unifies all of these capabilities into one security analytics platform. Tahawul Tech ingest global threat intelligence, correlate it with the customer's environment using AI and natural-language processing, and then provide detection, investigation, and response capabilities from a single interface. There's no switching between tools or disconnected workflows. It becomes the organisation's single "moment of truth" for its entire security posture. What indicators and intelligence signals does Anomali provide to help organisations quickly determine whether they are currently under attack? Its platform delivers precise, high-confidence signals such as: * Emerging risks relevant to the customer's industry * Early indicators of compromise * Behavioural patterns associated with known threat actors * Exposure to new global breaches * Validation of whether an active campaign affects the organisation Tahawul Tech help close the gaps between technologies and between teams - CTI, SOC, incident response, and business leaders. Instead of each working in isolation, Anomali ensures everyone shares the same intelligence and can act in a coordinated manner. How is Anomali supporting Saudi Arabia's cybersecurity vision and strengthening national resilience against AI-driven threats? Saudi Arabia is now one of the most strategically important cybersecurity markets in the world. Its digital transformation is extraordinary - and rapid digitalisation always attracts attackers. Tahawul Tech work very closely with government entities, regulators, and decision-makers to support Vision 2030's cybersecurity priorities. * Empowering organisations with AI-driven threat hunting * Providing cloud-ready solutions aligned with local data residency requirements * Strengthening national cyber resilience through real-time visibility * Helping teams do "10x more" with the same resources, given the global cybersecurity talent shortage Tahawul Tech has a local office and a growing team in Riyadh because Tahawul Tech believe deeply in the Kingdom's vision and want to support it long-term.
Anomali to participate in the Goldman Sachs 2025 Private Innovative Company Conference. REDWOOD CITY, Calif., November 19, 2025-(BUSINESS WIRE)-Anomali, the leading global AI-Powered Security and IT Operations Platform, today announced that it is participating in the Goldman Sachs 2025 Private Innovative Company Conference, taking place Tuesday, November 18 through Thursday, November 20, 2025, in Las Vegas, Nevada. Anomali's Chief Growth Officer, George Moser (former CISO at S&P Global, Visa and BNY Mellon), and Chief Financial Officer and Chief Operating Officer, Udit Tibrewal, will host a series of one-on-one meetings with institutional investors throughout the event. These meetings will provide an opportunity to discuss the company's strategic direction, customer momentum, product innovation, and plans for expanding the adoption of the Anomali platform across global enterprises. The conference brings together a highly curated group of founders and CEOs from leading private internet and software companies; senior executives from major public companies across the technology and media landscape; and a select group of public-market crossover investors, venture capital firms, and private equity investors. The event offers an exclusive forum for discussions on innovation, growth strategies, and market trends shaping the future of the technology sector. Goldman Sachs 2025 Private Innovative Company Conference Location: Las Vegas, Nevada Date: Tuesday, November 18, 2025 - Thursday, November 20, 2025 Time: 9:00 a.m. - 5:00 p.m. PT About Anomali Anomali delivers the leading AI-powered Security and IT Operations Platform. Only Anomali combines ETL, SIEM, Next-Gen SIEM, XDR, UEBA, SOAR, and TIP into one unified data lake, wrapped with agentic AI. At the center of the platform is Anomali Copilot, which navigates a proprietary cloud-native Data Lake to deliver first-in-market speed, scale, and performance - at a fraction of the cost. Modernize your security and IT operations to gain better analytics, deeper visibility, increased productivity, and greater talent retention. Visit www.anomali.com to learn more or to schedule a personalized demo. View source version on businesswire.com: https://www.businesswire.com/news/home/20251119958231/en/ Media Contact Jean Creech Avent Senior Director, Global Communications and Media Relations Anomali [email protected]
Anomali launches MSSP Programme to help providers deliver faster, smarter and more profitable security outcomes. Anomali, a leading global AI-Powered Security and IT Operations Platform, has announced the launch of its Managed Security Service Provider (MSSP) Programme, designed to help MSSPs worldwide deliver faster, more efficient and more secure services across multiple clients through a unified, multi-tenant platform built on an open security data lake architecture. MSSPs today face growing challenges in managing complex environments, balancing scalability, data isolation and retention requirements for multiple customers. Many still rely on separate instances or manual data exports - methods that are inefficient, costly and difficult to scale. The Anomali MSSP Programme solves this by combining true multi-tenancy with federated search and a fully open data lake that enables MSSPs to manage and analyse security across all clients simultaneously, without compromising control or compliance. Alexandre Depret-Bixio, Senior Vice President for Anomali's MENA Operations, said: "Our MSSP Programme is built to remove the barriers that have slowed down managed security providers for years. By giving MSSPs an open data lake foundation, we're enabling them to store, retain and analyse telemetry from multiple customers in one place - without lock-in while maintaining strict data separation. It's about faster insight, smarter operations, and complete trust." The programme integrates ThreatStream and Security Analytics into a high-performance open data lake, offering MSSPs quick access to centralised management of threat feeds, observables and dashboards. Data remains in customer- or MSSP-controlled storage, ensuring platform independence, long-term retention and compatibility across the security ecosystem. In addition, Anomali Copilot thinks and reasons across multi-tenant environments to enrich alerts, prioritise threats and surface contextual insights for each client. Agentic AI is fully integrated throughout the platform; it transforms intelligence and analytics into decisive action that scales analyst expertise across every customer. The Anomali MSSP Programme delivers measurable operational and business advantages: * Scalable growth and control: Expand managed services seamlessly across multiple customers while preserving strict data sovereignty and compliance. * Strategic data investment: Retain and query more than seven years of hot storage to support long-term visibility and compliance. * Faster detection and response: Correlate and enrich alerts across tenants and across threat intelligence and internal telemetry for immediate insight and accelerated incident resolution. * AI-driven SOC efficiency: Automate complex analysis and reasoning, amplifying analyst capacity and reducing time to response. * Future-proof integration: Built on open standards to integrate seamlessly across the security ecosystem without vendor lock-in. * Flexible deployment models: Choose between an open or closed data lake architecture to align with customer requirements and governance standards. By consolidating threat intelligence and analytics into a single, open data lake, MSSPs can reduce investigation times, eliminate manual processes and maintain full transparency over client data. During incidents, they can instantly identify affected clients, coordinate responses and generate tailored reports - ensuring speed, accuracy and compliance across every engagement. The Anomali MSSP Programme delivers open, scalable and intelligent cross-tenant visibility from day one, setting a new benchmark for how managed security services are delivered and scaled.