The Security Director's phone rang at 2 AM. Again. This was the third major incident this month at the same location. A high-risk store with persistent security issues. "We need to stop just responding to these incidents and start preventing them," he told his team the next morning. The challenge was clear. Their security operation was trapped in a cycle of incident response firefighting, constantly one step behind emerging threats. With 16,000+ locations to monitor and limited resources, they needed a different approach. Instead of simply adding more guards or cameras, they decided to leverage street-level threat intelligence to understand what was actually happening around their location. The data revealed surprising patterns: -Incidents spiked at specific times on specific days -Certain crime types were concentrated within a tenth of a mile -Local patterns were shifting in ways invisible to broad city-level statistics -Armed with this granular intelligence, they reallocated resources based on actual risk patterns rather than gut feeling. Within one month, incidents dropped by 55%. Within six months, they saw a 75% reduction in incidents. The most powerful outcome wasn't just the metrics. It was how the security team transformed from crisis responders into strategic business partners. They created a new proactive security playbook with street-level intelligence as the foundation. This is how modern security departments become strategic advantages rather than cost centers.
Base Operations
安保服务
Washington,District of Columbia 4,205 位关注者
Assess local security threats to reduce risk across your global operations.
关于我们
Base Operations decodes the world’s threat landscape into actionable security insights to protect your people and assets. Make data-driven security decisions based on street-level threat analytics, forecasting, and risk scoring with global coverage. Run threat assessments 5x faster, standardize risk reporting, and prioritize high-risk sites to reduce incidents by up to 75%.
- 网站
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https://baseoperations.com/
Base Operations的外部链接
- 所属行业
- 安保服务
- 规模
- 11-50 人
- 总部
- Washington,District of Columbia
- 类型
- 私人持股
- 创立
- 2019
- 领域
- Security、Risk management、Crowdsourcing、Community data、Data visualizaton、Safety tools、transparency、social impact、Data和threat intelligence
地点
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主要
650 Massachusetts Ave NW
600
US,District of Columbia,Washington,20001
Base Operations员工
动态
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?? THREAT BRIEF: 2025 NCAA Final Four in San Antonio Our site assessment of the 2025 NCAA Final Four reveals a complex security picture that goes beyond typical event planning. The threat data at a glance: - Inside the Alamodome's 1-mile radius, the BaseScore is 71. That's 45% higher than San Antonio's city average. - Five surrounding high-risk neighborhoods (Denver Heights, Knob Hill, Five Points, Cattleman's Square, Prospect Hill) show high BaseScores of 82-89. - Violent crime hotspots concentrate northwest of venue in Downtown, Cattleman's Square, and Five Points. - 47,612 vehicle crimes in just 14 months make parking security a critical vulnerability. This isn't just about the games. The $440M influx of economic activity to San Antonio brings significant security complications. From disruptions due to protest risks (we've tracked 21 protest events within 1 mile of the venue) to targeted threats against executives and athletes. Security teams planning for this event need street-level intelligence to transform reactive plans into proactive protection strategies. Read the full threat brief with specific recommendations for VIP travel and executive protection. Link in comments. Get a complete picture of threats on the ground ahead of the big games.
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Is AI actually delivering ROI for security teams? Our very own Sasha Freese was on a panel yesterday at #CSO360 in New York discussing how to leverage technology for corporate security and intelligence. When it comes to AI adoption in security, success hinges on two critical factors: 1?? Start with narrow use cases that deliver immediate value 2?? Demonstrate how data-driven decisions directly impact the company's bottom line Here's one example of how Base Operations is tackling both challenges: Our AI helps analysts complete site and travel risk assessments 5X FASTER with more reliable data. This efficiency gain means security teams can dramatically increase their coverage and serve more internal stakeholders. Most importantly, it enables CSOs to standardize risk assessment across thousands of locations. The bottom-line impact? Imagine making informed decisions between a $25k vs $250k security system based on actual crime and unrest data near each site. Now multiply that across 5,000 locations. That's the difference between security as a cost center and security as a strategic business partner. It was great sharing the stage with samdesk CEO James Neufeld among others. Combining real-time alert tools like Samdesk with predictive analytics platforms like Base Operations creates the modern security stack - positioning teams to both handle any crisis and prevent emerging threats. Today's security leaders need both reactive AND proactive intelligence capabilities to earn their seat at the table. The threat landscape is more complex than ever, but with the right technology stack, CSOs are transforming how they detect, assess, and respond to risk. That's how you deliver strategic value across the organization. Will you be at ISC West next week? Our team would love to connect. Reach out if you'll be there!
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In September, I spoke with a retail security director whose team faced a crisis. A high-priority location experienced a spike in incidents corresponding with rising crime in the surrounding area. With just five Regional Analysts covering 16,000+ locations, they were stuck in reactive crisis management mode. Instead of just adding more guards, their team used granular data to analyze historical and recent crime patterns. They mapped specific threat types, time-of-day patterns, and day-of-week frequencies for criminal activity around their stores. The precision allowed them to surgically reallocate cameras and security personnel to target peak hours of criminal activity at the highest risk locations. The results were immediate and dramatic: - 55% incident reduction in the first month - 75% reduction over six months - 66% decrease in surrounding crime rates Most importantly, they leveraged their success to develop a new security playbook that systematized this approach across locations. Their data-driven approach became the primary system for prioritizing high-risk locations. This is what proactive security looks like. It’s not more resources. It’s smarter allocation based on granular, predictive intelligence.
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Any security leaders here going to CSO 360 in New York March 26-28? What if it took 30 seconds to get everything you need to know about the threat landscape around the venue? And you could have that for every employee for every trip? Our threat assessment of the CSO 360 Conference venue revealed a BaseScore of 92/100. That's on a global scale, adjusted for population, carefully modeled by a team of PhD data scientists. And you can break it down further to see statistics like 435 simple assaults and 153 robberies within a quarter-mile radius in the past year. This isn't just data. It's a decision advantage for executive protection, event security, and site assessments. ?? What global security directors are using Base Operations for: -Predicting high-risk time periods (45% of crime at the venue occurs during daylight hours) -Mapping crime and unrest patterns (multiple organized protests in the immediate area) -Justifying resource allocation with concrete data -Earning their seat at the table with quantifiable risk metrics One large retail client reduced security incidents by 55% in just one month using our street-level intelligence. The Base Operations team will be at CSO 360 in New York. We’ll be showing how security leaders are evolving from reactive crisis managers to strategic risk advisors with our platform. Comment "CSO360" below and I’ll personally DM you our custom threat brief for the conference venue and connect you with our team on-site. The threat environment can vary dramatically within a single mile radius. It’s time to stop making security decisions based on city-wide, outdated, and inconsistent data. Imagine what this could do for your security operations at scale.
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Threat levels can vary dramatically from one city block to the next, with crime rates fluctuating by up to 500% within a 0.3 mile radius. Yet most security teams still rely on city level risk ratings that miss these critical distinctions. For Security Directors managing global operations, this geographic complexity creates a massive blind spot in threat forecasting. Here's how leading security organizations are solving this challenge: ? Using street level intelligence with sub mile resolution rather than broad regional data ? Implementing standardized risk ratings that allow comparison between Tokyo, London, and S?o Paulo ? Detecting pattern changes at the neighborhood level to spot emerging threats ? Visualizing threat data on interactive maps for faster decision making A global management consultancy with 75+ offices struggled with precisely this problem. Their security team was spending 100% of their capacity on basic site ranking, leaving zero bandwidth for strategic work. After implementing Base Operations, they identified high risk sites that previously went unnoticed. The results were transformative: ? 35% increase in team efficiency within 3 months ? 100% increase in completed site evaluations for their real estate team ? Significant improvements in event security and executive protection ? Additional budget approved based on demonstrated value When security teams can understand threats at a granular geographic level, they stop treating entire cities as uniformly risky and start making nuanced, data driven decisions. This geographic precision is one of the four critical challenges in effective threat forecasting we've identified working with global enterprises. How are you currently tackling granular threat data in your security assessments?
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Most corporate security leaders come from military, law enforcement, or intelligence backgrounds. Their expertise in tactical security is unmatched, but most teams lack the specialized data science skills required to transform endless data into proactive intelligence. While they excel at crisis response, they're trapped in a cycle of incident response firefights, constantly playing catch-up rather than preventing threats before they materialize. Forward thinking security organizations are breaking this cycle by: ? Leveraging street level threat intelligence with predictive capabilities ? Using platforms that transform hours of manual research into minutes of analysis ? Implementing solutions that decode patterns invisible to human observation alone ? Elevating security's role from crisis managers to strategic risk advisors An autonomous vehicle company expanding into new markets experienced this transformation firsthand. Their security team needed to evaluate risk profiles for potential expansion cities but struggled with reliable data analysis. By implementing Base Operations, they gained granular, standardized intelligence that turned data points into strategic insights. The impact elevated their entire security function: ? Delivered standardized risk metrics for comparing candidate cities ? Gained ability to communicate findings confidently to leadership ? Made data driven decisions about market expansion ? Extended the same approach to monitor existing locations Their security leader called it "the first and still the only system" they use to evaluate risk in new markets. When security teams integrate street level data and predictive analytics, they transform from cost centers into competitive advantages that enable global expansion and protect brand value. Lack of predictive analytics expertise is just one of four critical challenges we've identified in threat event forecasting. The organizations that solve these challenges are transforming their security operations from reactive to proactive, achieving up to 75% reduction in security incidents. Want to know all four challenges in threat event forecasting and see real examples of how security teams are overcoming them? Read our latest post. Link in comments.
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The average security team spends 20+ hours gathering data for a SINGLE threat assessment. That's a full workweek every month just collecting information before analysis even begins. Security Directors at global enterprises are facing a critical challenge. 55,000+ potential data sources but limited resources to process them effectively. Here's what we're seeing from top performing security organizations: - They've eliminated manual data collection from disparate sources - They use AI to standardize intelligence across 150+ million incidents globally - They've automated filtering of irrelevant information, reducing noise by 85% - They focus analyst time on interpretation, not collection One financial institution we work with needed to evaluate five different neighborhoods in a major US city. Each assessment previously required 40 hours of work, making it a five week project. After implementing Base Operations, they completed all assessments in a single week. The result? Their real estate team tripled assessment requests the following month and expanded intelligence use to their business intelligence team. When security teams can focus on analysis rather than data collection, they become strategic partners to the business, not just cost centers. This is just one of four critical challenges we've identified in threat event forecasting. The organizations that solve these challenges are transforming their security operations from reactive to proactive, achieving up to 75% reduction in security incidents. Want to know all four challenges in threat event forecasting and see real examples of how security teams are overcoming them? Read our latest post. Link in comments.
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?? I spent yesterday afternoon with the security director of a global management consultancy. A while back, his team had been working 60-hour weeks just trying to rank their 75+ offices by risk level. His frustration then was palpable: "We're treating entire cities as uniformly dangerous or safe, and I know that's wrong." This challenge is deeply familiar to me. Back when I was a security analyst in Mexico City, I lived this reality daily. The reality of different threat levels a few city blocks from each other was obvious when you walked in the streets. But getting the data on how dramatically the threat landscape can shift within a few city blocks was painstakingly manual. The data Base Operations now has confirmed what I experienced. Threat levels can vary by up to 500% within a 0.3 mile radius. Yet most security teams still rely on city-level risk ratings that miss these critical distinctions. -This security director used Base Operations to transform his team's operations: -They implemented our street-level intelligence with sub-mile resolution -They used our standardized BaseScore to compare risk in Tokyo, London, and S?o Paulo on the same scale -They began detecting pattern changes at the neighborhood level to spot emerging threats They visualized everything in our platform for faster decision making The transformation was remarkable. Within three months, his team's efficiency increased by 35%. They doubled the number of completed site evaluations for their real estate division. Most importantly, they shifted from spending 100% of their capacity on basic risk ranking to actually delivering strategic value through improved event security and executive protection. The impact was so evident that the CFO approved additional budget for their security function—a rare win in an environment where security is typically seen as a cost center. This geographic precision challenge is something we're seeing across the industry. When security teams gain granular visibility into threat environments, they transform from reactive resource drains into strategic partners that enable global expansion. I left our meeting inspired by how his team turned the geographic complexity problem into an opportunity to elevate security's role within their organization.
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We’re in a moment of both heightened threat and rapid transformation in federal procurement. As such, I'm thrilled to announce that Base Operations has been awarded a SBIR Phase I contract by AFWERX to deliver street-level threat intelligence to the US Air Force and Space Force. This milestone validates what we've been building. We are the proactive security intelligence platform transforming how organizations protect their people and assets. We’re exploring use cases including managing the threat landscape around Air Force bases, and protecting traveling personnel and events. I love seeing our commercial capabilities translate seamlessly to federal use cases. The same intelligence and analytics that help corporations make smarter security decisions will now strengthen operational resilience and protect the warfighter for agencies with the most demanding security requirements. As the wife, sister-in-law, and granddaughter of veterans, I’ve always been inspired by our women and men in uniform. This contract marks an important milestone in our journey to equip decision-makers with actionable intelligence in complex and dynamic environments. What could be more mission critical than keeping our service members safe? I'll share more details about our work with AFWERX in the comments. Excited to start our federal journey at Base Operations!
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