Latest news with #riskintelligence
Forbes
a day ago
- Business
- Forbes
How To Build A Smarter Risk Framework In A Post-Background-Check Era
Darrin Lipscomb is the Founder & CEO of Ferretly, a risk intelligence platform helping organizations adapt to modern compliance challenges. Institutional risk frameworks are under growing strain, yet many leaders remain unaware of the shifts undermining their effectiveness. I see this erosion as especially evident (yet overlooked) when it comes to talent and hiring decisions. The average cost of a bad hire ranges from $15,000 to even more, yet traditional screening methods often miss the behavioral red flags that can help predict cultural misalignment and team disruption. Where Risk Actually Lives Today Across the United States, we are seeing legislative changes quietly dismantle the legal foundation that compliance systems were built on. Utah's S.B. 70, Maryland's recent conviction reporting restrictions, Washington's 2026 rollout of expanded limitations—these aren't isolated policy adjustments. These structural shifts increasingly render traditional background check frameworks obsolete. Meanwhile, the real vectors of organizational risk have migrated entirely. Reputation damage now travels at the speed of social media. Cultural misalignment can derail million-dollar partnerships in hours. Brand risk lives in real-time digital behavior, not in historical databases that are being legislated out of relevance. The result is a dangerous gap where legacy compliance infrastructure, designed for a static world, operates in a dynamic environment where the actual risk signals live elsewhere entirely. Consider the reality: Companies relying solely on conviction-based screening may miss critical risk indicators because the legal framework no longer permits access to them. Yet the behaviors that generate risk haven't disappeared. They've moved to platforms that legacy systems weren't built to monitor. It's like trying to drive on the freeway with a speedometer that only works under 25 mph. Signal Degradation Versus Signal Migration Criminal records, employment verification and education credentials check what someone did, not what they're doing now or how they operate in real time. In contrast, public digital behavior can offer more predictive insight into cultural fit, judgment and alignment than a clean background check from five years ago. Social media patterns reveal decision-making processes, communication styles and value systems that directly affect team dynamics. The shift isn't just cultural—it's operational. Leading companies are supplementing traditional background checks with reviews of candidates' public digital behavior to assess cultural alignment and risk in real time. Shopify, for example, states that both criminal history and public profile reviews may be part of their hiring process, depending on the role. Not because they're abandoning risk management, but because they recognize where actionable signals live in 2025. Infrastructure Versus Information I find that many organizations confuse data collection with system design. They add more checks, more verification steps and more bureaucracy without addressing the underlying infrastructure problem. Real compliance infrastructure isn't about gathering more information. It's about processing the right information, at the right time, in the right context. Modern risk requires real-time analysis of behavioral patterns. Therefore, effective risk infrastructure must be predictive, not just historical. It must analyze patterns over isolated events. And it must be built into decision-making workflows, not tacked on as a separate compliance bureaucracy. Predictive Compliance Architecture I believe organizations looking to modernize should anchor their risk infrastructure to three key principles. This involves analyzing ongoing behavioral patterns that predict future alignment or risk. Examples include hostile public commentary, engagement with extremist subcultures, linguistic markers of deception, harassment or trolling and rapid ideological shifts. Organizations can capture these signals through natural language processing for sentiment and toxicity analysis, visual symbol recognition for meme culture, coded language and timeline-based anomaly detection that identifies concerning pattern changes. This means that you recognize that risk suggests different things in different roles and cultures. Organizations must assess signals in the context of their organizational values, teams and mission. For example, a financial controller role likely prioritizes trust, ethics and data integrity, making gambling behavior, cryptocurrency speculation and financial fraud indicators particularly relevant. On the other hand, a sales executive role emphasizes influence and communication, making manipulative tactics, aggression and toxic humor as more concerning. The framework should start with role values: What values must this person embody publicly and privately? What behaviors most directly undermine those values? Effective integration makes risk signals part of your operational flow rather than an external process. Low-friction tactics include tagging behavioral summaries inside HR or applicant tracking systems (ATS) profiles, embedding risk indicators in hiring committee review templates and creating dashboard systems with digestible weekly alerts. Many organizations are piloting automated digital behavior screening solutions for key roles. The vendor landscape is growing, enabling smaller employers to access real-time behavioral insights during hiring. The Institutional Adaptation Challenge Government agencies are adapting. Since 2019, U.S. visa applicants have been increasingly expected to provide all social media identifiers. As of July 2025, consular officers may request applicants to make these accounts public for vetting purposes. Major research institutions such as the RAND Corporation have documented the federal government's exploration of open-source intelligence, including a systematic review of public digital behavior as an additional layer for vetting and personnel security frameworks. But private sector adaptation remains uneven. The competitive advantage will go to institutions that modernize early, recognizing this shift as a strategic opportunity rather than a compliance burden. Beyond Compliance: Operational Intelligence The deeper opportunity is not just compliance but intelligence. When risk infrastructure is designed around real-time behavior and contextual fit, it elevates the entire organization. Consider a recent example: A technology company caught a candidate with clean criminal records who was actively engaging in harassment campaigns on social media. Traditional screening would have missed this entirely. The Strategic Imperative I recommend you start with your highest-risk roles: finance, customer-facing positions and leadership tracks. Pilot digital behavior screening for these positions while maintaining traditional checks as a baseline. Simply put, with the updated strategies in place, you hire better. You reduce team friction. You prevent reputational landmines before they explode. That's not just a screening upgrade, but a competitive advantage. Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?
Zawya
3 days ago
- Business
- Zawya
Presight signs an MoU with Dow Jones Factiva to explore advanced, AI-powered risk-intelligence innovations
ABU DHABI, UAE/PRNewswire/ -- Presight, a leading global AI and big data analytics company, today announced that it has signed an MoU with Dow Jones Factiva, a trusted source of regulatory-grade risk intelligence. Together, the two industry leaders will explore the co-development of a new class of AI-native risk and compliance solutions designed for financial institutions, regulators, and sovereign entities navigating an era of unprecedented complexity. By fusing Dow Jones Factiva's unparalleled risk, regulatory, legal, and sustainability intelligence with Presight's sovereign AI infrastructure and cutting-edge agentic AI capabilities, the collaboration could unlock a new generation of intelligent systems purpose-built for the most sensitive corners of the global financial ecosystem. Transforming Compliance from Reactive to Predictive The joint offering would harness generative AI, explainable models, and real-time contextual reasoning to empower compliance, legal, and risk teams to preempt threats rather than react to them. These capabilities would be deployed within sovereign-grade environments that ensure full adherence to national data residency and security requirements – meeting the rising expectations of both regulators and regulated entities. Initial flagship solutions could include: KYC & UBO Agent: Mapping hidden ownership structures across borders by triangulating regulatory filings, leaked documents, and open-source intelligence. Sustainability Tracker: Real-time surveillance of sustainability controversies, compliance breaches, and evolving regulatory expectations. Legal & Policy Risk Agent: Detecting enforcement trends, cross-border risks, and subtle shifts in legal landscapes. Adverse Media Monitoring: Sentiment-aware media intelligence to surface reputational threats as they emerge. Sanctions Intelligence Engine: Uncovering indirect exposure to sanctioned actors via trade networks and ownership chains. Thomas Pramotedham, CEO of Presight, said: "This collaboration seeks to bring together the best of both worlds: Dow Jones Factiva's unparalleled depth in regulatory-grade data and Presight's sovereign-scale AI delivery. Together, we're working towards redefining how institutions approach risk – through real-time, predictive, and contextualized intelligence. It's Applied Intelligence in action, transforming risk into foresight." Joel Lange, executive vice president and general manager of Dow Jones Risk & Research from Dow Jones, said: "As business leaders navigate increasingly complex landscapes, we are committed to arming our customers with the tools needed to meet their needs and these discussions with Presight could mark a pivotal step in the development of next-generation risk solutions. Together, we're uniquely positioned to serve global financial institutions and regulators with tools that are as intelligent as they are actionable – elevating compliance and risk management to meet the demands of tomorrow". A Regional Launchpad for Global Influence Rooted in the GCC's regulatory innovation and national AI infrastructure, the collaboration would first serve sovereign wealth funds, central banks, Tier 1 banks, and supervisory authorities across the UAE and wider Gulf. Further expansion into strategic corridors including Southeast Asia, Central Asia, North Africa, the UK, and the United States – where the demand for secure, auditable, and intelligent compliance tooling continues to surge – is also in discussion. A New Standard for the Risk Function This collaboration could set a new benchmark for the modern risk function: auditable, autonomous, and future-proof. In a world defined by complexity, velocity, and interconnected threats, Presight and Dow Jones Factiva are not merely responding - they are redefining what it means to govern intelligently. About Presight Presight is an ADX-listed public company with Abu Dhabi-based G42 as its majority shareholder and is a leading global AI and big data analytics company. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of AI-driven products and solutions, Presight is bringing Applied Intelligence to the private and public sector, enabling them to realize their AI strategy and ambitions faster. About Dow Jones Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world's largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America's largest newspaper by paid circulation; Barron's, MarketWatch, Mansion Global, Financial News, Investor's Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV). Photo - SOURCE Presight
Globe and Mail
14-07-2025
- Business
- Globe and Mail
Wisr AI Named One of Canada's Top 100 AI Companies by All In Summit, Powered by Scale AI and Mila
Vancouver, British Columbia--(Newsfile Corp. - July 14, 2025) - Wisr AI Systems Inc. (CSE: WISR) (" Wisr AI" or the " Company"), a pioneer in AI-driven cyber and third-party risk intelligence, is proud to announce that it has been recognized as one of Canada's Top 100 AI Companies by the 2025 All In Summit. This prestigious designation highlights the strength of Canada's AI ecosystem and underscores Wisr AI's leadership in applying Agentic AI to global risk prediction. The All In Summit—organized by Scale AI, Canada's AI innovation supercluster, and Mila, one of the world's leading AI research institutes based in Montreal—is the premier national gathering of Canada's AI ecosystem. As part of the event, the Top 100 list recognizes the most innovative and impactful AI companies driving the future of the Canadian economy. Wisr AI earned its place on this distinguished list for its work in developing scalable, agentic AI platforms that empower enterprises to predict, prioritize, and mitigate cyber and third-party vendor risks in real time. The recognition is reinforced by the support of Scale AI, Canada's AI-powered national supercluster. Backed by the Government of Canada and anchored in Montreal, Scale AI is a globally respected accelerator of applied AI adoption. With more than $600 million in combined public and private investment, Scale AI connects industry, startups, researchers, and global partners to commercialize AI innovations and transform supply chain intelligence. Its national mandate positions Scale AI as a vital force in strengthening Canada's AI capabilities and scaling made-in-Canada technologies worldwide. "Being named one of the Top 100 AI companies at All In is a strong validation of the work our team is doing to transform risk intelligence through agentic AI," said Rob Goehring, CEO of Wisr AI. "Canada is a world leader in AI innovation, and the support of initiatives like Scale AI ensures that technologies like ours can scale globally. We're proud to represent Canada on the international stage and look forward to collaborating with fellow Top 100 companies and ecosystem partners." This recognition comes at a pivotal time for Wisr AI, as the company expands its commercial operations and deepens its commitment to agentic AI and cybersecurity innovation. Through the All In platform, the Company anticipates accelerated exposure to enterprise customers, strategic investors, and global collaborators. The All In Summit 2025 will take place in Montreal on September 24 and 25 and will feature Canada's top AI companies alongside 6,000 global thought leaders, policymakers, and investors in AI from over 40 countries. The All In website can be found here: and the official Top 100 announcement can be found here: About Wisr AI Systems Inc. Wisr AI Systems Inc. (CSE: WISR) is a Vancouver-based technology company building agentic AI platforms that predict, prioritize, and monitor cyber and third-party risk. Its solutions help enterprises ingest and interpret real-time global signals to manage complex vendor ecosystems and supply chains more intelligently. Wisr empowers organizations with dynamic risk visibility and actionable intelligence to support stronger cybersecurity governance and operational resilience. The Canadian Securities Exchange has not in any way passed upon the merits of the matters referenced herein and has neither approved nor disapproved the contents of this news release. Forward-Looking Information: This news release may contain statements that constitute "forward-looking information" within the meaning of applicable securities laws, including statements regarding the plans, intentions, beliefs and current expectations of the Company with respect to future business activities and operating performance. Forward-looking information is often identified by the words "may", "would", "could", "should", "will", "intend", "plan", "anticipate", "believe", "estimate", "expect" or similar expressions and includes information regarding, among other things, expectations for other economic, business, and/or competitive factors. Investors are cautioned that forward-looking information is not based on historical facts but instead reflects expectations of the Company's management, estimates or projections concerning future results or events based on the opinions, assumptions and estimates of management considered reasonable at the date the statements are made. Although the Company believes that the expectations reflected in such forward-looking information are reasonable, such information involves risks and uncertainties, and undue reliance should not be placed on such information, as unknown or unpredictable factors could have material adverse effects on future results, performance or achievements of the Company. Among the key factors that could cause actual results to differ materially from those projected in the forward-looking information are the following: changes in general economic, business and political conditions, including changes in the financial markets; changes in applicable laws; and compliance with extensive government regulation. This forward-looking information may be affected by risks and uncertainties in the business of the Company and market conditions. Should one or more of these risks or uncertainties materialize, or should assumptions underlying the forward-looking information prove incorrect, actual results may vary materially from those described herein as intended, planned, anticipated, believed, estimated or expected. Although the Company has attempted to identify important risks, uncertainties and factors which could cause actual results to differ materially, there may be others that cause results not to be as anticipated, estimated or intended. The Company does not intend, and does not assume any obligation, to update this forward-looking information except as required by applicable law.
Associated Press
23-06-2025
- Business
- Associated Press
Cognisense Launches Investigative Compliance Initiative Amid Surge in AI-Driven Training Fraud
Cognisense unveils newsletter exposing AI-aided training fraud and compliance failures. Subscribe for real-world insights and risks. 'The tools designed to verify knowledge and ensure compliance are now being outsmarted — often by AI'— Robert Day CALGARY, CANADA, June 23, 2025 / / -- Cognisense, a leading authority in risk intelligence and training verification, announced today a major initiative to expose and address vulnerabilities in digital compliance systems. Amid a surge in AI-assisted cheating and growing concerns about the integrity of corporate training, the company is launching Cognisense Insights — a new investigative content track and biweekly gated newsletter. This initiative will focus on four critical areas of risk and intelligence: Training System Exploits: How commonly used training and testing platforms are being gamed, exposing organizations to compliance breakdowns. Real-World Case Studies: A behind-the-scenes look at actual compliance failures — and the systemic blind spots that caused them. Regulatory Focus Areas: Forward-looking insights into where regulatory bodies are tightening expectations next. The AI Threat Landscape: How generative AI is accelerating fraud, eroding trust in self-paced training, and forcing a rethink of digital due diligence. 'The tools designed to verify knowledge and ensure compliance are now being outsmarted — often by AI,' said Robert Day, Managing Director at Cognisense. 'We're seeing training platforms passed by bots, credentials issued with no real oversight, and a false sense of security across industries. With Cognisense Insights, we're pulling back the curtain on how it's happening — and what can be done to restore accountability.' The Cognisense Insights newsletter launches this week and will be distributed every two weeks to subscribers. The newsletter will include deep-dive articles, curated enforcement trends, vendor analysis, and alerts on emerging threats to training integrity. Subscribe to Cognisense Insights: [ ] Media inquiries: [email protected] Darcy Chalifoux Cognisense +1 4035856445 email us here Visit us on social media: LinkedIn X Legal Disclaimer: EIN Presswire provides this news content 'as is' without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Yahoo
12-06-2025
- Automotive
- Yahoo
Greater Than and Smart Eye Deepen Collaboration with Predictive Risk Scoring in Upgraded Driver Support System
Greater Than's AI-generated risk intelligence now integrated in Smart Eye's new version AIS system Predicts crashes in advance, improving risk management for fleet and transport operators The upgraded system is designed for aftermarket installation in commercial vehicles STOCKHOLM, June 12, 2025 /PRNewswire/ -- Greater Than, the global provider of risk intelligence into road safety and climate impact, is proud to announce that its predictive driver risk intelligence has been integrated into a new driver support system just unveiled by Smart Eye, the world leader in Driver Monitoring Systems (DMS). The collaboration marks another important milestone between the two Swedish tech innovators, designed to improve risk management for fleet and transport operators. The latest version of Smart Eye's AIS, an aftermarket DMS designed for commercial vehicles, introduces a suite of new features, including Greater Than's crash probability scoring, as well as intoxication detection, cloud connectivity, and live weather insights. "We've worked closely with Greater Than to connect two layers of driver insight – what's happening in the moment, and what it means for overall risk," said Martin Krantz, CEO and Founder of Smart Eye. "That combination gives fleet operators a sharper tool for preventing incidents before they happen. Greater Than's risk intelligence adds more depth to the data and helps fleets focus their efforts where the underlying risk is actually building." The integration builds on the companies' ongoing collaboration, which began in January 2025 with a joint research initiative exploring the relationship between distraction alerts and crash probability. Initial results shared in February highlighted how, with joint effort, advanced driver warning systems could be refined to measure and alert about additional risky behaviors to make such solutions more effective. "We're extremely proud of our ongoing work with Smart Eye which is shaping the future of in-cabin technology," said Liselott Johansson, CEO of Greater Than. "With the integration of our AI risk intelligence into Smart Eye's upgraded AIS system, fleet managers are better able to identify and reduce elevated driving risk." The new AIS system, including Greater Than's predictive risk scoring, is being showcased at Smart Eye's booth, #105, during InCabin USA in Detroit, June 10–12, 2025. Press contact Greater ThanPR@ 855 593 This information was brought to you by Cision The following files are available for download: Greater Than and Smart Eye Deepen collaboration press release Greater Than and Smart Eye Press Release View original content: Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
