Latest news with #BinaryDefense
Forbes
01-07-2025
- Business
- Forbes
You Or Your Providers Are Using AI—Now What?
Jason Vest, CTO, Binary Defense. The rise of generative and agentic AI has fundamentally changed how enterprises approach risk management, software procurement, operations and security. But many companies still treat AI tools like any other software-as-a-service (SaaS) product, rushing to deploy them without fully understanding what they do—or how they expose the business. Whether it's licensing a chatbot, deploying an AI-powered analytics platform or integrating large language model (LLM) capabilities into your workflows, when your organization becomes the recipient of AI, you inherit a set of security, privacy and operational risks that are often opaque and poorly documented. These risks are being actively exploited, particularly by state-sponsored actors targeting sensitive enterprise data through exposed or misused AI interfaces. Not All AI Is The Same: Know What You're Buying Procurement teams often treat all AI as a monolith. But there's a world of difference between generative AI (GenAI), which produces original content based on inputs, and agentic AI, which takes autonomous actions based on goals. For example, GenAI might assist a marketing team by drafting a newsletter based on a prompt, while agentic AI could autonomously decide which stakeholder to contact or determine the appropriate remediation action in a security operations center (SOC). Each type of AI brings its own unique risks. Generative models can leak sensitive data if inputs or outputs are not properly controlled. Agentic systems can be manipulated or misconfigured to take damaging actions, sometimes without oversight. Before integrating any AI tool, companies need to ask a fundamental question: What data will be accessed, and where could it be exposed? Is this system generating content, or is it taking action on its own? That distinction should guide every aspect of your risk assessment. Security Starts With Understanding Security professionals are trained to ask, 'What is this system doing? What data does it touch? Who can interact with it?' Yet, when it comes to AI, we often accept a black box. Every AI-enabled application your company uses should be inventoried. You need to know: • What kind of AI is being used (e.g., generative AI or agentic)? • What data was used to develop the underlying model, and what controls are in place to ensure accuracy? • Where is the model hosted (e.g., on-premise, vendor-controlled or the cloud)? • What data is being ingested? • What guardrails are in place to prevent abuse, leakage or hallucination? NIST's AI Risk Management Framework and SANS' recent guidance offer excellent starting points for implementing the right security controls. But at a baseline, companies must treat AI like any other sensitive system, with controls for access, monitoring, auditing and incident response. Why AI Is A Data Loss Prevention (DLP) Risk One of the most underappreciated security angles of AI is its role in data leakage. Tools like ChatGPT, GitHub Copilot and countless analytics platforms are hungry for data. Employees often don't realize that entering sensitive information into them can result in it being retained, reprocessed or even exposed to others. Data loss prevention (DLP) is making a comeback, and for good reason. Companies need modern DLP tools that can flag when proprietary code, personally identifiable information (PII) or customer records are being piped into third-party AI models. This isn't just a compliance issue—it's a core security function, particularly when dealing with foreign-developed AI platforms. China's DeepSeek AI chatbot has raised multiple concerns. South Korean regulators fined DeepSeek's parent company for transferring personal data from South Korean users to China without consent. Microsoft also recently barred its employees from using the platform due to data security risks. These incidents highlight the broader strategic risks of embedding third-party AI tools into enterprise environments—especially those built outside of established regulatory frameworks. A Checklist For Responsible AI Adoption CIOs, CTOs and CISOs need a clear framework for evaluating AI vendors and managing AI internally. Here's a five-part checklist to guide these engagements: • Is there a data processing agreement in place? • Who owns the outputs and derivatives of your data? • What rights does the vendor retain to train their models? • How will this AI tool be integrated into existing workflows? • Who owns responsibility for the AI's decisions or outputs? • Are there human-in-the-loop controls? • Could the model generate biased, harmful or misleading results? • Are decisions explainable? • Have stakeholders from HR and legal teams been consulted? • Is personal or regulated data entering the model? • Is the model trained on proprietary or publicly scraped data? • Are there retention and deletion policies? • Has the model or its supply chain been tested for adversarial attacks? • Are prompts and outputs being logged and monitored? • Can malicious users exploit the model to extract data or alter behavior? Final Thought: Awareness And Accountability AI security doesn't start in the SOC. Instead, it should start with awareness across the business. Employees need to understand that an LLM isn't a search engine, and a prompt isn't a safe space. Meanwhile, security teams must expand visibility with tools that monitor AI use, flag suspicious behavior and inventory every AI-enabled app. You may not have built or hosted the model, but you'll still be accountable when things go wrong, whether it's a data leak or a harmful decision. Don't assume vendors have done the hard work of securing their models. Ask questions. Run tests. Demand oversight. AI will only grow more powerful and more autonomous. If you don't understand what it's doing today, you certainly won't tomorrow. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
28-06-2025
- Business
- Yahoo
Palo Alto Networks, Binary Defense Partner to Enhance AI-Driven Security Operations
Palo Alto Networks Inc. (NASDAQ:PANW) is one of the best software infrastructure stocks to invest in. On June 11, Palo Alto Networks announced a partnership with Binary Defense to enhance the security operations of its Cortex XSIAM platform. The collaboration aligns with a growing industry focus on AI-driven cybersecurity solutions. It aims to provide customers with flexible deployment options for XSIAM through implementation, co-managed, and fully managed security operations services. The partnership with Binary Defense, which is a managed detection and response/MDR provider, will integrate Binary Defense's MDR expertise directly into customer instances of Cortex XSIAM, which is Palo Alto's AI-powered platform. A cutting-edge computer lab full of IT experts monitoring the security of multiple systems. This offers three levels of support: implementation services for onboarding and tuning XSIAM, a co-managed MDR option for shared operational responsibility, and a fully managed MDR service for end-to-end, expert-led coverage, which includes 24/7 threat hunting, detection, and response. These flexible models are designed to address security team challenges such as talent shortages and operational gaps, helping organizations modernize their Security Operations Centers/SOCs. Palo Alto Networks Inc. (NASDAQ:PANW) provides cybersecurity solutions worldwide. While we acknowledge the potential of PANW as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the . READ NEXT: and . Disclosure: None. This article is originally published at Insider Monkey.
Yahoo
11-06-2025
- Business
- Yahoo
Palo Alto Networks (NasdaqGS:PANW) Partners With Binary Defense For Flexible XSIAM Deployment
Palo Alto Networks recently announced a strategic partnership with Binary Defense to enhance its Cortex XSIAM platform's security operations, aligning with an uptick in focus on AI-driven cybersecurity solutions. The company's share price rose 9% over the last quarter, reflecting investor interest that coincided with positive market trends, including a 1% gain in major indices as encouraging inflation data provided a benign backdrop. Additionally, collaboration initiatives such as those with Glean and Cribl likely bolstered confidence in Palo Alto Networks' capabilities to innovate and align with broader tech sector growth, as evidenced by steady gains in the Nasdaq Composite. You should learn about the 1 risk we've spotted with Palo Alto Networks. The end of cancer? These 23 emerging AI stocks are developing tech that will allow early identification of life changing diseases like cancer and Alzheimer's. The recent partnership with Binary Defense accentuates Palo Alto Networks' emphasis on AI-driven enhancements, potentially accelerating both revenue and earnings by improving the Cortex XSIAM platform's capabilities. As these AI initiatives grow, they may lead to larger deal sizes and cost efficiencies, aligning with forecasts of revenue climbing 15.5% annually and profit margins expanding to 17.2% in three years. Over the past five years, the company's total return including share price appreciation stood at a very large 414.08%, reflecting robust long-term growth. This impressive performance contrasts with its recent year-over-year earnings decline of 49.4%, against the broader Software industry growth average of 20.5%. While shares climbed 9% in the past quarter, the current price of US$188.69 still trails the consensus price target of US$211.20, suggesting potential upside. Analysts, however, foresee mixed outcomes, with targets ranging between US$123.00 and US$235.00, dependent on whether projected growth materializes. This disparity underscores the speculative nature of estimates, especially in relation to the anticipated earnings per share of US$3.54 by 2028. The success of international and AI-driven expansion will be crucial in attaining these targets and justifying the high multiples posited for Palo Alto Networks' future valuation. Evaluate Palo Alto Networks' prospects by accessing our earnings growth report. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include NasdaqGS:PANW. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Sign in to access your portfolio
Yahoo
11-06-2025
- Business
- Yahoo
Palo Alto Networks (NasdaqGS:PANW) Partners With Binary Defense For Flexible XSIAM Deployment
Palo Alto Networks recently announced a strategic partnership with Binary Defense to enhance its Cortex XSIAM platform's security operations, aligning with an uptick in focus on AI-driven cybersecurity solutions. The company's share price rose 9% over the last quarter, reflecting investor interest that coincided with positive market trends, including a 1% gain in major indices as encouraging inflation data provided a benign backdrop. Additionally, collaboration initiatives such as those with Glean and Cribl likely bolstered confidence in Palo Alto Networks' capabilities to innovate and align with broader tech sector growth, as evidenced by steady gains in the Nasdaq Composite. You should learn about the 1 risk we've spotted with Palo Alto Networks. The end of cancer? These 23 emerging AI stocks are developing tech that will allow early identification of life changing diseases like cancer and Alzheimer's. The recent partnership with Binary Defense accentuates Palo Alto Networks' emphasis on AI-driven enhancements, potentially accelerating both revenue and earnings by improving the Cortex XSIAM platform's capabilities. As these AI initiatives grow, they may lead to larger deal sizes and cost efficiencies, aligning with forecasts of revenue climbing 15.5% annually and profit margins expanding to 17.2% in three years. Over the past five years, the company's total return including share price appreciation stood at a very large 414.08%, reflecting robust long-term growth. This impressive performance contrasts with its recent year-over-year earnings decline of 49.4%, against the broader Software industry growth average of 20.5%. While shares climbed 9% in the past quarter, the current price of US$188.69 still trails the consensus price target of US$211.20, suggesting potential upside. Analysts, however, foresee mixed outcomes, with targets ranging between US$123.00 and US$235.00, dependent on whether projected growth materializes. This disparity underscores the speculative nature of estimates, especially in relation to the anticipated earnings per share of US$3.54 by 2028. The success of international and AI-driven expansion will be crucial in attaining these targets and justifying the high multiples posited for Palo Alto Networks' future valuation. Evaluate Palo Alto Networks' prospects by accessing our earnings growth report. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include NasdaqGS:PANW. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ 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
Business Wire
10-06-2025
- Business
- Business Wire
Binary Defense Announces Partnership with Palo Alto Networks to Deliver Managed Detection and Response Services Powered by Cortex XSIAM
CLEVELAND--(BUSINESS WIRE)--Binary Defense, the trusted Managed Detection and Response (MDR) and enterprise defense provider, today announced a new partnership with Palo Alto Networks to provide expert implementation and MDR services for organizations deploying Cortex XSIAM, the industry's leading AI-driven platform for security operations transformation. Through this partnership, Binary Defense will serve as a trusted services partner for organizations looking to maximize the value of their XSIAM investment, offering both implementation expertise and 24/7 MDR delivered directly within the customer's XSIAM environment. "Palo Alto Networks is redefining security operations with XSIAM, and we are proud to partner with leading MDR providers to bring the benefits of end-to-end SOC transformation to our joint customers,' said Anar Desai, Vice President North America Channel Sales, Palo Alto Networks. 'Binary Defense brings deep domain expertise and a proven track record of delivering MDR services, and together with this new offering we're delivering joint customers an AI-driven security operations platform and services that help them stop breaches.' 'XSIAM represents a transformative shift in how security operations are managed, but the path to successful adoption requires more than just technology, it takes the right expertise, integrations, and operational support,' said Dave Kennedy, Chief Hacking Officer at Binary Defense. 'We're proud to partner with Palo Alto Networks to help organizations deploy, tune, and run XSIAM more effectively while delivering real outcomes through our managed detection and response service.' The partnership with Palo Alto Networks is built around flexibility – empowering organizations to choose the support model that aligns with their operational needs and internal expertise. Whether customers want hands-on involvement, shared responsibility, or full-service support, Binary Defense offers control, transparency, and options tailored to every stage of their XSIAM journey. Implementation – For organizations looking to accelerate XSIAM deployment with confidence, Binary Defense offers guided onboarding, visibility assessments, log source mapping, custom use case configuration, data integration, alert configuration, and detection tuning to help teams get up and running quickly and effectively. Co-Managed XSIAM MDR – Security teams that want to stay hands-on while offloading day-to-day work can lean on Binary Defense to handle alert triage, enrichment, and investigation within their XSIAM environment while retaining full platform ownership and visibility. Fully Managed XSIAM MDR – For organizations seeking a turnkey, expert-driven experience, Binary Defense delivers comprehensive MDR directly inside the customer's XSIAM environment. Acting as an extension of the security team, Binary Defense provides around-the-clock detection, investigation, threat hunting, and response. Supporting the Security Operations of the Future This isn't a one-size-fits-all model. Whether customers want Binary Defense to implement, co-manage, or fully manage XSIAM, the goal is to make the platform work for their specific operational needs. The approach is rooted in flexibility and collaboration – ensuring customers retain the autonomy, visibility, and strategic alignment they require, whether Binary Defense leads the full engagement or works alongside channel resell partners to deliver ongoing detection and response. By delivering its MDR services directly inside a customer's XSIAM instance, Binary Defense helps security teams move faster, stay leaner, and focus on what matters most: resilience and risk reduction. This flexible approach is especially valuable to teams facing talent shortages, operational gaps, or complex hybrid environments. The company's goal is to meet customers where they are – whether they're just beginning to migrate to XSIAM or already fully deployed – and to act as an extension of the internal security team, delivering world-class detection and response without compromising visibility or control. About Binary Defense Binary Defense is a leading Managed Detection and Response (MDR) provider, trusted by hundreds of organizations to protect what matters most. Our team of SOC analysts, threat hunters, detection engineers, and threat researchers work around the clock to deliver proactive, risk-focused security outcomes. We bring the attacker's mindset to defense, helping clients detect threats earlier, respond faster, and continuously improve their security posture. For more information, visit our website, check out our blog, or follow us on LinkedIn.
