Senior Platform / DevOps / Continuous Integration and Continuous Delivery Engineer

What Does preemptive cyber defense Look Like inside an AI SOC? August 12, 2026 An agent can move fast, but without intelligence that already knows what's coming, it can't move early. Security Operations Centers (SOCs) everywhere are being asked to do more with agentic tools. Copilots triage alerts while agents pull context, enrich indicators, and draft investigation summaries before an analyst opens the ticket. While the promise is speed, it's wise to remember that the risk of speed lies in stale or reactive data, which just produces faster wrong answers. A key concern is that adversaries operate on a timeline that security tools often don't track: the preparation phase, when infrastructure is staged weeks before an attack goes live. Silent Push preemptive cyber defense was built to cover that window, and this post explores what happens when that data feeds directly into the AI-assisted workflows SOCs are already building. The problem with feeding AI reactive data. An agent that enriches an indicator is only as reliable as the source it queries. If that source is a traditional Indicator of Compromise (IOC) feed, the agent is enriching evidence of a compromise that has already happened. And while it can move fast, it's still working the wrong end of the timeline. Silent Push Indicators of Future Attack(R)(IOFA) invert that by mapping adversary infrastructure continuously across DNS, IP ranges, behavioral fingerprints, and web content, scanning hundreds of millions of data points to surface staging infrastructure before a campaign deploys. When an agentic workflow queries that data, it isn't merely enriching faster; it's enriching earlier. Agentic enrichment, without the syntax. The Silent Push MCP Server puts that intelligence directly into the tools practitioners use, including Claude and Cursor. An analyst or an agent can ask a plain-language question about an indicator, a domain, or a pattern of infrastructure and receive a deterministic answer. There's no Silent Push Query Language (SPQL) to write out and no separate console to learn. This begins to matter more as SOCs lean on agents to do first-pass triage. An agent pulling from the Context Graph inherits clear data provenance and a queryable structure built for automated enrichment from day one, with 200+ API endpoints designed for this kind of machine-to-machine workflow. The output an analyst reviews is something they can act on, not something they have to re-verify from scratch. Plugging into your existing SOC workflow. None of this requires ripping out the stack. Given the tool sprawl analysts face, its platform is designed for where it's needed most. Silent Push integrates directly into Splunk, Palo Alto XSOAR, Swimlane, Tines, ThreatConnect, Torq, and Sumo Logic. IOC feeds, domain and IP reputation scoring, and SPQL-powered queries flow into existing SIEM and SOAR playbooks. The agentic layer sits atop infrastructure that a team has already invested in. Since preemptive defense within a SOC isn't a new operating platform, it provides earlier-validated context that feeds into playbooks and workflows already in place. What Does This Look Like by Role? | / | The SOC Manager. Your SIEM and SOAR are already ingesting pre-validated, infrastructure-level context, so your team is triaging adversary infrastructure while it's being prepared. | | / | The CTI Analyst. Agentic enrichment is only as good as the pivots behind it. Weak pivots just automate bad guesses faster. Query fingerprints, cluster infrastructure, and threat actor patterns through the same interface your agents use, then export straight to your threat intel platform (TIP). | | / | The IR Lead. When an incident opens, scope is the first question. An agent querying the Context Graph can map an adversary's full staging infrastructure from a single indicator, so your team spends the first hour scoping the actual campaign instead of reconstructing it from fragments. | | / | The CISO. Agentic tools are under scrutiny, and the defensible answer to "What is the AI actually reasoning over?" is infrastructure-level data with a clear history, rather than a black-box feed. Instead of being a mere technical distinction, it's board-ready. | Proof that's not projection. Silent Push Inc. identified staging domains tied to Salt Typhoon in May 2025. Public reporting on the first intrusions didn't emerge until July 2025. Its data provided defenders with a two-month early-warning window that existed before most SOCs had a name for the campaign. This is the gap agentic enrichment is meant to close: not faster analysis of what has already happened, but earlier visibility into what's being staged, enabling organizations to take proactive measures before a threat actor's attack can land. Feeding an AI SOC earlier data can make it faster and, more importantly, right more often. Interested in learning more? Start a conversation with one of its platform experts to learn how preemptive cyber defense can give your team more lead time on adversary infrastructure, before an attack is launched. Silent Push Inc. also offer a free Community Edition so defenders can see how its platform integrates with their existing security stack. FAQs. 1. What is the primary function of an MCP server? An MCP server provides an AI model or agent with a standardized way to access external tools and data, without custom, one-off integration work for every platform it connects to. Instead of an agent needing code to query each different data source, it connects through the same protocol regardless of what's on the other end. For the Context Graph specifically, its MCP Server puts that intelligence directly inside the tools practitioners already use, including Claude and Cursor. An analyst or an agent can ask a plain-language question about an indicator, a domain, or a pattern of infrastructure and get a deterministic answer. There's no SPQL to write and no separate console to learn. 2. What is "agentic enrichment" and how does it work? Agentic enrichment occurs when an AI agent, not an analyst, pulls context for an indicator, a domain, or a piece of infrastructure mid-investigation. Instead of an analyst pausing to run a manual lookup, the agent queries a data source directly and folds the result back into whatever it's building: an alert summary, an investigation timeline, or a triage recommendation, in real time. The mechanism is straightforward. An agent, running inside Claude, Cursor, or another MCP-compatible tool, sends a plain-language query through the MCP Server, and the Context Graph returns a deterministic answer with clear data provenance. What makes that enrichment useful rather than just fast depends on what's on the other end of the query. Enrichment pulled from a traditional IOC feed still only reflects evidence of an attack that has already happened. Enrichment pulled from IOFA data is enriching a campaign before it launches. It's essentially the same mechanism, applied to a different point on the timeline, which is key in proactive defense.

Swimlane named to 2026 Inc. 5000 List, the most prestigious ranking of America's fastest-growing private companies. Swimlane's third consecutive year on the list demonstrates its sustained growth and market leadership in AI SOC News Highlights: * Swimlane is named to the 2026 Inc. 5000 list, marking its third consecutive year on the ranking of America's fastest-growing private companies * The recognition follows a year of product momentum, including the launch of AI SOC with Intelligent Deep Agents and the expansion of AI SOC for MSSP customers * Swimlane also earned a fourth consecutive QKS Group Top Technology Performer nod, an Innovator placement from SACR, FedRAMP High certification and a spot on Inc.'s Best Workplaces list for the third year running DENVER-(BUSINESS WIRE)-Swimlane, the leader in agentic AI automation for every security function, today announced it has been named to the annual 2026 Inc. 5000 list, the annual list of the fastest-growing private companies in America. The list is the most prestigious ranking of the nation's most successful independent and entrepreneurial businesses, recognizing companies that have achieved remarkable growth while driving innovation, creating jobs and shaping the future of the economy. Past honorees include companies such as Microsoft, Meta, Chobani, Oracle and Patagonia. "Being named to the Inc. 5000 for the third year in a row confirms the pace we're building at," said Cody Cornell, Co-Founder and CEO of Swimlane. "Fast growth only matters if you can back it up with real results for customers. Our team stays focused on solving the hard problems security teams face every day and this recognition reflects that work. We're not slowing down." This achievement follows Swimlane's continued momentum in 2026, including the launch of AI SOC with Intelligent Deep Agents, a major redefinition of security operations, and the expansion of AI SOC tailored to serve MSSP customers. This year's Inc. 5000 recognizes a new class of companies redefining what growth looks like. From AI and advanced manufacturing to healthcare, consumer products, and professional services, these businesses are expanding their impact, creating jobs and proving that entrepreneurial ambition continues to fuel the U.S. economy. Among the 5,000 companies on the list, the median three-year revenue growth rate was 130%, and those companies have collectively added more than 627,208 jobs to the U.S. economy over the past three years. "Every company on the Inc. 5000 has a story of perseverance, smart decision making, and a refusal to sit still," says Mike Hofman, editor-in-chief of Inc. "Their growth reflects more than strong financial performance-it reflects creativity, resilience and the customer focus required to build companies that make a lasting impact. We congratulate all honorees on this significant achievement." For the full Inc. 5000 list, honoree company profiles, and a searchable database by industry and location, please visit: www.inc.com/inc5000. Inc. 5000 List Methodology Companies on the 2026 Inc. 5000 are ranked according to percentage revenue growth from 2022 to 2025. To qualify, companies must have been founded and generating revenue by March 31, 2022. They must be U.S.-based, privately held, for-profit, and independent - not subsidiaries or divisions of other companies - as of December 31, 2025. (Since then, some on the list may have gone public or been acquired.) The minimum revenue required for 2022 is $100,000; the minimum for 2025 is $2 million. As always, Inc. reserves the right to decline applicants for subjective reasons. About Swimlane At Swimlane, we believe the convergence of agentic AI and automation can solve the most challenging security, compliance and IT/OT operations problems. With Swimlane, enterprises and MSSPs benefit from the world's first and only AI automation platform for every security function. Only Swimlane gives you the scale and flexibility to unify security teams, tools and telemetry, ensuring today's SecOps are always a step ahead of tomorrow's threats. About Inc. Inc. is the leading media brand and playbook for the entrepreneurs and business leaders shaping our future. Through its journalism, Inc. aims to inform, educate, and elevate the profile of its community: the risk-takers, the innovators, and the ultra-driven go-getters who are creating the future of business. Inc. is published by Mansueto Ventures LLC, along with fellow leading business publication Fast Company. For more information, visit www.inc.com. More News From Swimlane DENVER-( BUSINESS WIRE )-Swimlane, the leader in agentic AI automation for security operations, today announced the launch of Swimlane AI SOC for MSSPs, built on a simple commitment to empower MSSPs through cutting-edge agentic AI automation solutions, rather than compete for your customers. Some AI SOC providers are moving into managed services, turning former partners into competitors for the very MSSPs they once supported. Swimlane is taking the opposite approach. MSSPs that build their AI S... DENVER-( BUSINESS WIRE )-Swimlane, the leader in agentic AI automation for security operations, today announced it has achieved FedRAMP High certification, making it the first AI SOC provider to earn the designation.FedRAMP High certification covers the government's most sensitive unclassified workloads, and achieving it signals that Swimlane Turbine's AI and automation capabilities meet the security demands of defense, intelligence and civilian agencies operating at that tier."Our FedRAMP High... DENVER-( BUSINESS WIRE )-Swimlane, the leader in agentic AI automation for security operations, today announced it has been named to Inc.'s 2026 Best Workplaces list. This marks the third consecutive year that Swimlane has earned a spot on the annual list, which recognizes the top U.S. companies that are redefining what it means to be a workplace of excellence. The award is the result of comprehensive measurement and evaluation of hundreds of applicants. The process involved a detailed employee...

Swimlane named to 2026 Inc. 5000 List, the most prestigious ranking of America's fastest-growing private companies. Swimlane's third consecutive year on the list demonstrates its sustained growth and market leadership in AI SOC News Highlights: * Swimlane is named to the 2026 Inc. 5000 list, marking its third consecutive year on the ranking of America's fastest-growing private companies * The recognition follows a year of product momentum, including the launch of AI SOC with Intelligent Deep Agents and the expansion of AI SOC for MSSP customers * Swimlane also earned a fourth consecutive QKS Group Top Technology Performer nod, an Innovator placement from SACR, FedRAMP High certification and a spot on Inc.'s Best Workplaces list for the third year running DENVER - August 11, 2026 - Swimlane, the leader in agentic AI automation for every security function, today announced it has been named to the annual 2026 Inc. 5000 list, the annual list of the fastest-growing private companies in America. The list is the most prestigious ranking of the nation's most successful independent and entrepreneurial businesses, recognizing companies that have achieved remarkable growth while driving innovation, creating jobs and shaping the future of the economy. Past honorees include companies such as Microsoft, Meta, Chobani, Oracle and Patagonia. "Being named to the Inc. 5000 for the third year in a row confirms the pace we're building at," said Cody Cornell, Co-Founder and CEO of Swimlane. "Fast growth only matters if you can back it up with real results for customers. Our team stays focused on solving the hard problems security teams face every day and this recognition reflects that work. We're not slowing down." This achievement follows Swimlane's continued momentum in 2026, including the launch of AI SOC with Intelligent Deep Agents, a major redefinition of security operations, and the expansion of AI SOC tailored to serve MSSP customers. This year's Inc. 5000 recognizes a new class of companies redefining what growth looks like. From AI and advanced manufacturing to healthcare, consumer products, and professional services, these businesses are expanding their impact, creating jobs and proving that entrepreneurial ambition continues to fuel the U.S. economy. Among the 5,000 companies on the list, the median three-year revenue growth rate was 130%, and those companies have collectively added more than 627,208 jobs to the U.S. economy over the past three years. "Every company on the Inc. 5000 has a story of perseverance, smart decision making, and a refusal to sit still," says Mike Hofman, editor-in-chief of Inc. "Their growth reflects more than strong financial performance-it reflects creativity, resilience and the customer focus required to build companies that make a lasting impact. We congratulate all honorees on this significant achievement." For the full Inc. 5000 list, honoree company profiles, and a searchable database by industry and location, please visit:www.inc.com/inc5000. Inc. 5000 List Methodology Companies on the 2026 Inc. 5000 are ranked according to percentage revenue growth from 2022 to 2025. To qualify, companies must have been founded and generating revenue by March 31, 2022. They must be U.S.-based, privately held, for-profit, and independent - not subsidiaries or divisions of other companies - as of December 31, 2025. (Since then, some on the list may have gone public or been acquired.) The minimum revenue required for 2022 is $100,000; the minimum for 2025 is $2 million. As always, Inc. reserves the right to decline applicants for subjective reasons. About Swimlane At Swimlane, Swimlane believe the convergence of agentic AI and automation can solve the most challenging security, compliance and IT/OT operations problems. With Swimlane, enterprises and MSSPs benefit from the world's first and only AI automation platform for every security function. Only Swimlane gives you the scale and flexibility to unify security teams, tools and telemetry, ensuring today's SecOps are always a step ahead of tomorrow's threats. Media Contacts [email protected] About Inc. Inc. is the leading media brand and playbook for the entrepreneurs and business leaders shaping its future. Through its journalism, Inc. aims to inform, educate, and elevate the profile of its community: the risk-takers, the innovators, and the ultra-driven go-getters who are creating the future of business. Inc. is published by Mansueto Ventures LLC, along with fellow leading business publication Fast Company. For more information, visit www.inc.com. Request a live demo. By supplying my contact information, I authorize Swimlane to contact me with personalized communications about its products and services. I can opt-out at any time. See its privacy policy for more details.