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Trend Micro's Cyber Risk Exposure Management (CREM is a comprehensive solution designed to enhance an organization's cybersecurity posture by providing continuous visibility, assessment, and mitigation of cyber risks. By integrating advanced technologies such as AI and machine learning, CREM enables businesses to proactively identify vulnerabilities, prioritize remediation efforts, and predict potential threats before they materialize. This proactive approach ensures that organizations can effectively manage their attack surface, reduce exposure to cyber threats, and maintain compliance with industry standards. Key Features and Functionality: - Continuous Asset Discovery: CREM offers real-time discovery of all cyber assets, including cloud services, devices, and APIs, ensuring comprehensive visibility across the entire digital environment. - Risk Assessment and Prioritization: Utilizing intelligent, context-driven risk scoring, CREM evaluates assets based on factors such as criticality, threat activity, and business impact, allowing organizations to focus on mitigating the most significant risks first. - Predictive Threat Analysis: By mapping discovered risks to critical assets and visualizing potential attack paths, CREM anticipates where adversaries might strike, enabling proactive defense measures. - Automated Remediation: The platform accelerates threat response through AI-driven recommendations and automated security playbooks, reducing the mean time to respond (MTTR and allowing security teams to concentrate on strategic initiatives. - Compliance Management: CREM streamlines compliance processes by mapping security efforts to global standards such as NIST and GDPR, generating audit-ready reports, and automating routine compliance tasks. Primary Value and Problem Solved: CREM addresses the critical challenge of managing and mitigating cyber risks in an increasingly complex digital landscape. By providing continuous, real-time insights into an organization's attack surface, it enables proactive identification and remediation of vulnerabilities, thereby reducing the likelihood of security breaches. The integration of AI and machine learning enhances decision-making processes, allowing for efficient resource allocation and improved operational efficiency. Ultimately, CREM empowers organizations to build resilience against cyber threats, maintain regulatory compliance, and protect their digital assets effectively.

Kulp.AI is an AI-driven platform that enables users to rapidly develop full-stack applications, websites, and software products without writing code. By simply describing your product idea in plain English, Kulp's AI transforms it into a fully functional app, complete with frontend, backend, authentication, database, and deploy-ready infrastructure. Designed for use on iPhone and iPad, Kulp.AI streamlines the software development process, making it accessible to solo founders, startup teams, developers, and digital creators. Key Features and Functionality: - Project Plan System: Kulp generates a structured roadmap from your initial prompt, outlining every key feature, flow, and task. This system allows you to select desired features through an intuitive interface, eliminating the need for complex prompts or rewrites. - Full-Stack Code Generation: The platform produces production-ready software, including frontend (React, Next.js, Tailwind), backend (Supabase, Node, serverless), authentication (OAuth, email login, JWT), database (Postgres, Supabase), and payment integration (Stripe). - Mobile-First Experience: Kulp is designed for mobile devices, enabling you to ideate, plan, build, and deploy applications directly from your phone. - Versatile Application Development: Users can create a variety of applications, such as SaaS dashboards, landing pages, AI tools, client apps, internal tools, subscription platforms, and more. Primary Value and User Solutions: Kulp.AI democratizes software development by allowing individuals without coding expertise to transform their ideas into functional applications swiftly. This eliminates the need for hiring developers or learning complex programming languages, thereby reducing development time from weeks to hours. The platform's AI-driven approach ensures clarity, speed, and scalability, empowering users to focus on innovation and execution. Whether you're a non-technical founder, developer, freelancer, or part of a startup team, Kulp.AI provides the tools to build and launch products efficiently, fostering a future where software creation is as simple as describing your idea.

Gordon Financial Impact quantifies the monetary exposure associated with an organization's current cybersecurity risks, translating technical vulnerabilities, workforce behavior data, third-party exposures, and control gaps into estimated financial loss ranges that business leadership and boards can act on. Rather than producing qualitative ratings, the service calculates probable financial impact per risk scenario including ransomware, data breach, business email compromise, and operational disruption using the organization's asset values, industry loss benchmarking data, threat frequency models, and the live risk signals already captured across Gordon's monitoring services. Financial exposure figures are updated continuously as the underlying risk posture changes, so the number presented to leadership reflects the current environment, not a point-in-time assessment from six months ago. Each risk scenario is modelled to show a probable loss range, minimum, expected, and maximum financial impact alongside the estimated reduction in exposure that would result from specific remediation actions. This enables security leaders to present investment decisions in ROI terms: the cost of a control versus the financial risk it reduces, expressed in currency rather than a risk score. Outputs are formatted in two views: a technical risk register for security and IT teams showing the underlying findings driving each financial estimate, and an executive and board report in plain language showing aggregate financial exposure by risk category, trend over time, and how the organization's risk profile compares to industry benchmarks. Reports include a cyber insurance alignment section mapping current exposure estimates to coverage adequacy, supporting annual policy reviews and renewal negotiations. Gordon Financial Impact integrates with existing Gordon modules, pulling live data from attack surface monitoring, workforce risk, VAPT findings, and third-party risk scores, as well as external asset inventories and HR systems via API. No FAIR expertise or internal risk modelling capability is required to operate the service.

Cryptography is the most widely deployed security control in the enterprise, and the least managed. Over decades it has spread across infrastructure, applications, code and third-party services, with no owner, no continuous view and no governance. With NIST deprecating classical public-key cryptography by 2030 and regulations like CNSA 2.0, DORA and NIS2 tightening, that blind spot is no longer affordable. QIZ is the Cryptography Posture Management platform. It turns cryptography from an invisible liability into a governed, measurable asset, and builds the foundation every organization needs before it can move on post-quantum cryptography (PQC). It is not just a system of record for cryptography but a system of action: four stages in one continuous loop, AI-powered at every step. Discovery: See every place cryptography lives, including keys, certificates, algorithms and libraries, across on-prem, cloud, code and third-party software. QIZ discovers across four surfaces: network traffic, running systems, compiled binaries and source code. The inventory updates continuously, not once, and can be exported as a Cryptographic Bill of Materials (CBOM). Correlation & Contextualization: QIZ's AI-native knowledge graph connects every finding to the application, owner, business process and data it touches. Policy & Triage: Findings are risk-ranked by severity, business criticality and exposure, against your own crypto policy and frameworks like NIST, PCI DSS 4.0 and CNSA 2.0. Teams work the handful of findings that matter, not hundreds of thousands of raw findings. Remediation: AI-powered root cause analysis traces each issue to its structural origin, so a single CA template change can remediate hundreds of certificates. Execution flows through your existing KMS, PKI and orchestration tools. Risk, compliance and PQC migration run on a single policy model, not three tools. QIZ deploys as SaaS, in the cloud, on-prem or air-gapped, and integrates via API with dozens of security and IT platforms across your existing stack. No cryptography expertise required. Built for CISOs, security architects and GRC teams.

Acceda is an AI-powered accessibility compliance platform designed to help enterprise software teams automatically detect, remediate, and document violations of WCAG 2.1 AA, Section 508, and ADA Title II standards. By integrating seamlessly into existing development workflows, Acceda ensures that digital products meet accessibility requirements efficiently and effectively. Key Features and Functionality: - Detection: Conducts comprehensive deep crawls of web applications to identify accessibility violations across all pages, states, and interactions. - Review: Provides precise code diffs and step-by-step implementation guides, enabling engineers to address issues swiftly. - Remediation: Offers structured workflows for ambiguous findings, ensuring clarity and accuracy in resolving complex accessibility issues. - Reporting: Automatically compiles audit histories into compliance-ready Voluntary Product Accessibility Templates (VPATs), streamlining documentation processes. - CI/CD Integration: Integrates directly into continuous integration and continuous deployment pipelines, preventing non-compliant code from merging and maintaining accessibility standards throughout development. - Audio & Video Captions: Automatically transcribes and captions media assets, making all video and audio content accessible without manual intervention. Primary Value and Solutions Provided: Acceda addresses the limitations of traditional accessibility tools, which often detect only 30–40% of WCAG violations and provide ambiguous findings without clear resolution paths. By automating the entire accessibility compliance lifecycle—from detection to documentation—Acceda enables organizations to achieve: - Comprehensive Coverage: Detects 97% of WCAG violations, significantly reducing the risk of non-compliance. - Accelerated Remediation: Facilitates 12 times faster issue resolution through AI-curated code fix guides, allowing engineers to implement fixes in minutes rather than sprints. - Audit-Ready Documentation: Generates compliance-ready VPATs and maintains a full audit trail, ensuring organizations are prepared for legal scrutiny and regulatory requirements. By integrating Acceda, enterprise teams can ship accessible products confidently, protect their compliance posture, and avoid the pitfalls of manual compliance efforts.

Direktiv.ai is an AI agent governance and compliance platform designed to help organizations manage and monitor their AI agents effectively. It connects to your AI infrastructure, inventories every agent in production, and assesses them against regulatory and internal requirements, ensuring your team stays ahead of potential risks. Key Features and Functionality: - Discovery-First Agent Inventory: Automatically connects to your OpenAI environment to provide an instant inventory of all assistants and custom GPTs across your organization. - AI-Powered Risk Classification: Classifies each agent by risk level based on its instructions, tools, and configuration, enabling teams to prioritize focus areas. - Multi-Framework and Policy-Based Assessment: Evaluates agents against over 27 built-in frameworks and policy templates, including NIST AI RMF, EU AI Act, GDPR, HIPAA, and more, as well as your own uploaded requirements. - Continuous Monitoring and Drift Detection: Tracks changes over time and flags outdated assessments when configurations shift, ensuring ongoing compliance. - Quarantine Workflow and Remediation Tracking: Routes agents into structured reviews when critical controls fail, assigns ownership, tracks investigations, and manages remediation from initiation to resolution. - Certification Workflow, Dashboards, and Audit Trail: Facilitates structured review pipelines, captures certification decisions with full traceability, and provides executives and auditors with clear insights into compliance posture and coverage. Primary Value and Problem Solved: As AI agents rapidly integrate into various organizational functions such as finance, HR, operations, and customer service, many operate without formal inventory or compliance reviews, potentially accessing sensitive data and interacting with customers without oversight. Direktiv.ai addresses this governance gap by providing a comprehensive platform that discovers, assesses, monitors, and certifies AI agents, ensuring they comply with both regulatory standards and internal policies. This proactive approach mitigates risks associated with ungoverned AI agents, enhances security, and ensures organizations remain compliant in an evolving regulatory landscape.

gsage is an on-premise Security Operations Center (SOC) assistant that integrates AI agents, structured tooling, and human oversight to enhance security teams' efficiency. By enabling monitoring, investigation, triage, and response within an organization's infrastructure, gsage eliminates the need to rely on third-party SaaS solutions, ensuring data remains secure and operations are auditable. Key Features and Functionality: - AI-Driven Orchestration: Utilizes AI agents with scoped tool access, operating within a FastAPI backend, Celery workers, and RedBeat scheduler. This setup ensures logged, audited, and isolated operations through an MCP server with per-organization, department, and user permissions. - Comprehensive Integrations: Seamlessly connects with existing tools such as antivirus programs, Endpoint Detection and Response (EDR) systems, Security Information and Event Management (SIEM) platforms, ticketing systems, Web Application Firewalls (WAF), proxies, Human Resources (HR) systems, Active Directory, and asset inventories. These integrations are exposed as typed tools that can be combined, scheduled, and governed with rules. - On-Premise Control: Operates entirely within the user's environment, supporting multi-tenant configurations with organizations, departments, and users as core primitives. Every execution is logged in Elasticsearch, ensuring a full audit trail without data leaving the premises. - Versatile Entry Points: Accessible through various interfaces, including a React-based web UI, email, Telegram, and Command Line Interface (CLI), allowing teams to interact with gsage in their preferred workflows. Primary Value and Problem Solved: gsage addresses the inefficiencies in traditional SOC operations by reducing the time security teams spend switching between dashboards, performing repetitive checks, and manually gathering context for decision-making. By automating these processes and integrating with existing tools, gsage enhances operational efficiency and security posture. Its on-premise deployment ensures that sensitive data remains within the organization's control, providing a secure and auditable solution for modern SOC needs.

PentestGPT is an AI-powered autonomous penetration testing agent that leverages Large Language Models (LLMs) to perform comprehensive security assessments with minimal human intervention. Designed to automate the entire attack lifecycle—from initial reconnaissance to final exploitation—PentestGPT addresses the complexities traditionally associated with manual penetration testing by integrating advanced reasoning capabilities and modular components. Key Features and Functionality: - Agentic Pipeline Architecture: PentestGPT employs a three-module system comprising Reasoning, Generation, and Parsing modules. This architecture enables strategic planning, command execution, and output analysis, facilitating end-to-end testing cycles that adapt to real-time target responses without requiring manual input at each step. - Docker-First Deployment: The system operates within an isolated Docker environment pre-configured with over 20 specialized security tools, ensuring a consistent and secure testing setup. - Session Persistence: PentestGPT supports saving and resuming testing sessions, allowing users to pick up exactly where they left off, enhancing workflow continuity and efficiency. - Comprehensive Capabilities: The tool automates various stages of penetration testing, including: - Reconnaissance: Automated target discovery, port scanning, and service enumeration with intelligent prioritization. - Vulnerability Analysis: AI-powered identification and assessment of security vulnerabilities across multiple attack surfaces. - Exploitation: Context-aware exploit selection with intelligent payload generation and execution strategies. - Post-Exploitation: Techniques for privilege escalation, lateral movement, and comprehensive system access. Primary Value and Problem Solving: PentestGPT significantly enhances the efficiency and effectiveness of penetration testing by automating complex tasks that traditionally require extensive human expertise. By leveraging LLMs, it reduces the time and resources needed for comprehensive security assessments, making penetration testing more accessible and scalable. This automation addresses the challenges of manual testing, such as the need for specialized knowledge and the potential for human error, thereby improving the overall security posture of organizations.

SignalCare is an AI-powered regulatory risk intelligence platform purpose-built for skilled nursing facilities (SNFs). It helps compliance teams, DONs, and administrators identify documentation gaps, prepare for CMS surveys, and reduce deficiency citations - before a surveyor walks through the door. At its core, SignalCare's Audit Copilot analyzes facility documents against the full CMS regulatory framework (42 CFR Part 483), automatically maps findings to F-tags, and generates a mock CMS Form 2567 - giving facilities a realistic preview of survey-ready documentation. AI-generated Plans of Correction (POCs) help teams respond faster and with greater consistency. Key capabilities include: - F-tag Intelligence - Coverage across all 48 surveyed F-tags, enriched with national and state-level citation frequency data across 53 jurisdictions, so facilities can prioritize the deficiencies that matter most in their region. - Mock Audit Engine - Simulates a full CMS survey workflow with deficiency mapping and Form 2567 output, enabling proactive compliance hardening before actual surveys. - Continuous Compliance Monitoring - Ongoing document analysis with confidence scoring and compliance snapshots, giving teams a longitudinal view of their risk posture over time. - Regional Dashboard - Benchmarks facility performance against state and national citation trends so leaders understand where they stand relative to peers. - QAPI-Adjacent Features - Structured analysis outputs that integrate naturally into quality assurance and performance improvement workflows. SignalCare is designed for independent and multi-facility SNF operators who need enterprise-grade compliance intelligence without the complexity or cost of legacy EHR add-ons. Built on a HIPAA-compliant infrastructure (Supabase + Google Cloud Vertex AI with active BAAs), SignalCare handles sensitive clinical documentation with ephemeral PHI processing and full audit logging. Accepted into the CMS Health Tech Ecosystem as a recognized "Friend of the Ecosystem," SignalCare is purpose-built for the realities of post-acute care compliance - where documentation failures cost facilities citations, revenue, and reputation.

Mobb is an AI-powered security tool designed to automate the remediation of code vulnerabilities, enabling development and application security teams to address security issues swiftly and efficiently. By integrating seamlessly into existing development workflows, Mobb reduces security backlogs and allows developers to focus on innovation without compromising code integrity. Its deterministic, AI-driven fixes ensure that vulnerabilities are resolved accurately and reliably, enhancing the overall security posture of applications. Key Features and Functionality: - Automated Vulnerability Remediation: Mobb ingests results from various Static Application Security Testing (SAST) tools and automatically generates fixes for identified vulnerabilities, streamlining the remediation process. - Deterministic Fixes: Utilizing a hybrid AI approach, Mobb delivers consistent and reliable fixes that adhere to security best practices, ensuring code stability and trustworthiness. - Seamless Integration: Mobb integrates with multiple SAST solutions and CI/CD pipelines, allowing developers to receive and apply fixes directly within their native development environments without disrupting existing workflows. - Fix Optimization: The platform optimizes fixes by enabling the remediation of multiple reported findings with a single code change, reducing the effort required from developers and minimizing the risk of introducing new issues. - Privacy and Security: Mobb ensures that code undergoes automatic data purges, is never shared with third parties, and carries zero risk of intellectual property contamination or unauthorized use for training purposes. Primary Value and Problem Solved: Mobb addresses the critical challenge of managing and remediating security vulnerabilities within software development. Traditional methods often result in significant security backlogs, with vulnerabilities remaining unaddressed for extended periods, thereby increasing the risk of data breaches and compliance issues. By automating the vulnerability remediation process, Mobb significantly reduces the mean time to remediate (MTTR), alleviates the burden on developers, and ensures that applications are secure without hindering development timelines. This proactive approach not only enhances the security of applications but also empowers development teams to focus on delivering new features and innovations.

OpenText Data Access Governance (DAG) is a comprehensive solution designed to identify, secure, and protect an organization's sensitive and high-value unstructured data from unauthorized access. This includes not only personally identifiable information (PII) but also critical intellectual property such as sales forecasts, legal documents, and financial data. By automating the identification of where sensitive files are stored and who has access to them, DAG ensures that unstructured data is secure, optimized, and compliant. Key Features and Functionality: - Comprehensive Reporting: Utilizes OpenText File Reporter to provide detailed analysis of user access to data stored on network file systems and Microsoft 365 cloud environments. - Automated Access Control and Remediation: Employs OpenText File Dynamics to establish access controls and remediate improper access permissions, ensuring that only authorized users have access to sensitive files. - Flexible Reporting and Analytics: Offers built-in reports, custom queries, and graphical analytics to provide insights into data storage and access patterns. - Data Migration and Cleanup: Automates data migration, cleanup, and archiving processes based on predefined policies, enhancing data management efficiency. - Integration with Identity and Access Management (IAM) Systems: Seamlessly integrates with IAM systems to enforce least privilege access and support identity-centric security approaches. Primary Value and Problem Solved: OpenText Data Access Governance addresses the critical need for organizations to secure unstructured data, which often comprises a significant portion of their information assets. By providing visibility into data storage locations and access permissions, DAG enables organizations to identify and mitigate risks associated with unauthorized access. The solution's automation capabilities streamline the enforcement of security policies, reduce the potential for human error, and ensure compliance with data protection regulations. Ultimately, DAG empowers organizations to protect their sensitive information, maintain regulatory compliance, and enhance overall data security posture.

PolygrAI is an AI-driven interview platform designed to automate, analyze, and authenticate interviews across various sectors. By leveraging advanced artificial intelligence, PolygrAI enhances the interview process by providing real-time behavioral insights, ensuring objective evaluations, and streamlining decision-making. Its multi-modal analysis engine examines visual, vocal, linguistic, and psychological cues to deliver comprehensive assessments, making it a valuable tool for organizations aiming to improve their hiring processes, fraud detection, and compliance measures. Key Features and Functionality: - AI Scoring & Assessments: Automatically scores and ranks interview responses based on predefined objectives, highlighting top performers with data-driven precision. - Potential Deception Alerts: Utilizes AI to detect integrity issues by analyzing audio, visual, linguistic, and behavioral cues, providing alerts on authenticity. - Psychological Profiling: Conducts AI-driven psychometric profiling to understand candidates' motivations, risk appetite, and decision-making processes. - Expert-Level Question-Making: Instantly crafts tailored interview questions for various roles and scenarios, ensuring deeper insights and honest answers. - Multi-Modal Analysis Engine: Analyzes facial micro-expressions, eye movements, gestures, posture, vocal tone, speech patterns, and linguistic cues to provide a holistic view of interviewees. - Bulk, Scheduled & Recurring Campaigns: Sends GDPR-compliant interview invitations via email or SMS with built-in consent management and robust privacy controls. Primary Value and Solutions Provided: PolygrAI addresses the challenges of traditional interview processes by introducing automation and objective analysis, thereby reducing human bias and enhancing efficiency. It offers organizations the ability to conduct scalable, non-invasive truth-verification, leading to better-informed and confident decision-making. By integrating AI-driven assessments, PolygrAI helps in identifying top talent, preventing fraud, ensuring compliance, and understanding human behaviors more deeply. Its comprehensive analysis capabilities make it suitable for various applications, including human resources, law enforcement, finance, and media, ultimately transforming how interviews and assessments are conducted.

Mindgard is a leading provider of Artificial Intelligence (AI) security solutions, dedicated to helping enterprises secure their AI models, agents, and systems throughout the entire lifecycle. Founded in 2022 as a spin-off from Lancaster University, Mindgard leverages over a decade of rigorous AI security research to address the unique vulnerabilities inherent in AI technologies. Its award-winning platform offers continuous security testing and automated AI red teaming, ensuring that organizations can deploy AI applications with confidence and resilience against emerging threats. Key Features and Functionality: - Automated AI Red Teaming: Simulates adversarial attacks to identify and mitigate vulnerabilities in AI models, including Generative AI and Large Language Models (LLMs). - Continuous Security Testing: Provides ongoing assessments to detect and address security risks that traditional tools may overlook, such as prompt injection and agentic manipulation. - Neural Network Agnostic: Supports a wide range of AI models, including NLP, audio, image, and multi-modal systems, ensuring comprehensive security coverage. - Seamless Integration: Integrates with existing CI/CD pipelines, requiring only an inference or API endpoint, facilitating efficient and non-disruptive implementation. - Runtime Protection: Delivers real-time security validation for guardrails, Web Application Firewalls (WAFs), and enterprise AI governance frameworks. Primary Value and Problem Solved: As AI adoption accelerates across industries, traditional application security tools often fail to address the unique and complex risks associated with AI systems. Mindgard's platform fills this critical gap by providing specialized security solutions tailored to AI technologies. By uncovering shadow AI, automating red teaming processes, and offering runtime protection, Mindgard empowers organizations to proactively identify and remediate vulnerabilities. This approach not only enhances the security posture of AI applications but also ensures compliance with legal and operational policies, enabling businesses to harness the full potential of AI without compromising on security.

OpenText™ Core Identity Foundation is a cloud-based Identity and Access Management (IAM) solution designed to protect sensitive data across an organization's entire environment. This Software-as-a-Service (SaaS) platform enables businesses to comply with regulatory mandates, reduce cyber insurance costs, and implement zero trust security models effectively. By providing a comprehensive identity fabric, it lowers the total cost of ownership while ensuring robust protection of critical information. Key Features: - Event-Based Identity Lifecycle Management: Automatically detects unauthorized changes and enforces policies across managed identity stores, ensuring timely updates and reducing security risks. - Comprehensive Identity Connectivity: Aggregates and reviews entitlement data across on-premises, hybrid, and cloud applications, facilitating a zero trust IAM approach. - Identity Catalog: Collects and normalizes a wide range of entitlement information into a unified identity catalog, essential for thorough analysis and governance. - Single Sign-On (SSO): Supports SAML v2 and OIDC protocols, offering seamless access to web-based services through a browser plug-in, enhancing user experience and security. - Advanced Authentication: Enables passwordless technologies and multi-factor authentication, providing secure and frictionless access to applications and resources. - Identity Intelligence: Monitors identity automation events and anomalies, delivering alerts and event tracking to bolster security posture. Primary Value and Solutions: OpenText Core Identity Foundation addresses critical business challenges by transforming identity management from a cost center into a strategic advantage. It optimizes operations by automating identity store management, thereby reducing internal operational costs and increasing efficiency. The platform helps organizations meet stringent cyber-insurance requirements by protecting against both internal and external threats. By enforcing identity-based security for users on devices or networks outside organizational control, it facilitates the implementation of zero trust security models. Additionally, it mitigates the risk of breaches through least privilege access and robust identity verification mechanisms.

When it’s time to understand your control system vulnerabilities and potential weak spots, a Cybersecurity Vulnerability Assessment from Honeywell can provide the information and recommendations you need from our experienced OT cybersecurity professionals. The Cybersecurity Vulnerability Assessment includes a holistic technical review of your ICS infrastructure at a particular point in time. The focus is on analyzing common cybersecurity processes, procedures and safeguards used by you to protect your ICS from internal and external threats. Experienced professionals from Honeywell’s 300+ industrial cybersecurity team assess your ICS security from DMZ down, including network and firewall performance. Unlike IT or point product vendor assessments, Honeywell’s Cybersecurity Vulnerability Assessments consider people, process and technology issues that can impact your ICS cybersecurity posture. This includes a physical site review to uncover issues such as control room doors left unlocked, passwords in the line of sight, and other security compliance violations. With deep experience across IEC 62443 compliance requirements and other industry-specific regulations such as NERC-CIP, as well as invaluable experience in control system networks, Honeywell assesses your ICS environment, documenting our observations and recommendations that are designed to assist you in reducing the criticality of your cybersecurity vulnerabilities. Bearing holistic industrial cybersecurity needs in mind, our consultants also review your network equipment from third parties such as switches, routers, and firewalls; review infrastructure configurations; and check installation processes. With ample experience performing these specialized assessments, the Honeywell consultants will report on design gaps, technology gaps, and any deficiencies in your cybersecurity implementation identified during the assessment. All the vulnerabilities, severity levels, and remediation details identified by Honeywell are included in a Cybersecurity Vulnerability Assessment report, an important deliverable to help you align your stakeholders and interdependent groups affecting your company’s cybersecurity readiness

LLMSecure is a comprehensive security solution designed to protect Large Language Model (LLM) applications from prompt injection attacks. By analyzing inputs through both static pattern matching and dynamic behavioral sandboxing, LLMSecure identifies and mitigates potential threats before they reach your LLM, ensuring the integrity and safety of your AI systems. Key Features and Functionality: - Static Pattern Detection: Utilizes regex and keyword-based pattern matching against a curated database of known prompt injection techniques to quickly identify common attacks. - Dynamic Behavioral Analysis: Employs a behavioral sandbox that simulates the execution of inputs within a controlled environment, observing attempted actions such as file reads, network requests, or system commands without executing them, to detect novel and sophisticated attacks. - Comprehensive Input Validation: Supports scanning of various input types, including text prompts, URLs, and files, ensuring all potential vectors are analyzed for security threats. - Customizable Detection Rules: Allows users to define custom detection rules with specific patterns, keywords, and scoring weights tailored to their application's unique requirements. - Real-Time Dashboard: Provides an intuitive analytics dashboard to monitor API requests, detection rates, and threat trends, offering valuable insights into the security posture of your LLM applications. - API Integration: Offers API keys for seamless integration into existing workflows, enabling automated input validation before processing by the LLM. Primary Value and Problem Solved: LLMSecure addresses the critical challenge of prompt injection attacks, where malicious inputs can manipulate LLM behavior to perform unintended actions, potentially leading to data breaches or system compromises. By implementing LLMSecure, organizations can proactively detect and prevent such attacks, safeguarding sensitive information and maintaining the reliability of their AI-driven applications. This proactive defense mechanism is essential for developers, businesses, and organizations integrating LLMs into their systems, ensuring compliance with security standards and protecting against emerging threats in the AI landscape.

OverView is a comprehensive cybersecurity platform designed to aggregate, correlate, and normalize IT and cyber data from multiple sources into a unified repository. By consolidating inventory, vulnerability, agent, network scan, cloud application, and business context data, OverView enables organizations to monitor key performance indicators , track remediation efforts, correct inventory discrepancies, and effectively communicate cyber risks across their enterprise. Key Features and Functionality: - Data Collection: OverView collects both structured and unstructured IT and cyber data without the need for agents, integrating seamlessly with existing tools and flat files. - Data Unification: The platform automatically aggregates, normalizes, and unifies data into a single repository, allowing users to access comprehensive information about each asset, regardless of the data source. - Data Enrichment: Users can tag assets based on their business value, facilitating prioritization and informed decision-making. - Data Querying: OverView offers an intuitive interface for querying information across the information system, with access to a library of filters to assess compliance with various standards such as ISO 27001 and NIS. - KPI Monitoring: The platform provides a library of over 100 pre-configured KPIs, enabling real-time monitoring of the information system's health and quick identification of inconsistencies. - Inventory Management: By consolidating data from various cyber tools, OverView allows for real-time inventory unification and easy updating of the Configuration Management Database . - Remediation Tracking: Users can monitor the progress and impact of remediation actions, with dashboards and visual widgets that facilitate clear communication of results. Primary Value and Problem Solved: OverView addresses the challenges posed by the expanding and increasingly complex cyber attack surface, the proliferation of IT and cyber tools, and the scarcity of cybersecurity resources. By automating the consolidation of inventory and unifying data from existing sources, OverView provides a single source of truth for an organization's information system. This unified view enhances strategic decision-making, improves operational efficiency, and strengthens the organization's overall cybersecurity posture.

Stay independent. Run like a DSO. DSOs win on operations: the same procedures in every office and numbers the owner sees every week. DentalIQ™ gives an independent dental practice those procedures, with AI built in, so the owner-dentist and office manager can run the business side without a corporate back office. Each module is a built-in procedure for one part of running the practice: • Morning briefing: today's schedule with each patient's insurance status and what needs attention. • InsureIQ: electronic eligibility and benefits checks, with a call sheet for what the payer didn't answer. • BillingIQ: claim checks before sending, electronic claims and remittances, denial appeals drafted for review, and days from claim sent to paid. • AcceptIQ: treatment plans with estimates built from the patient's own insurance check, approved by the dentist before printing. • RecallIQ: overdue patients and reminder messages drafted for the team to approve. • ReviewIQ: Google review requests by text or email, drafted per patient and approved by the team. • NoteIQ: voice-dictated clinical notes, structured into SOAP notes for the provider to review. • LabIQ: lab case tracking with each lab's on-time, turnaround and redo record. • ProcureIQ: the same supply item bought at different prices, from the practice's own invoices. • PrescriptionIQ and ReportIQ: post-treatment guidance for patients and a monthly practice report. How it works: good process first, then AI. DentalIQ's own rules handle the structure (eligibility, frequency limits, claim checks); AI handles the language. AI drafts, a person approves, and every AI action is logged. AI runs under a business associate agreement. DentalIQ works alongside the practice software you already use, on the web and on iOS and Android. 14-day free trial, no credit card required.

TestAutomasi is a premier provider of software testing consulting services, dedicated to assisting businesses in optimizing their software development processes. With a team of seasoned consultants, TestAutomasi employs advanced tools and methodologies to ensure that software applications adhere to the highest standards of quality and reliability. Their expertise spans various testing domains, including functional, performance, and security testing, catering to organizations of all sizes. By partnering with TestAutomasi, businesses can achieve their testing objectives efficiently and effectively. Key Features and Functionality: - Comprehensive Testing Services: Specializes in functional, performance, and security testing to address diverse software quality needs. - Expert Consulting: Offers experienced consultants who develop customized testing solutions tailored to each client's unique requirements. - Corporate Training: Provides training on the latest tools and technologies, enhancing the skills of QA and SDET professionals. - Recruitment Services: Assists in hiring well-trained QA and SDET resources to strengthen in-house teams. - Development Services: Engages in mobile and web application development, as well as tools and utilities development, to support comprehensive software solutions. Primary Value and Solutions Provided: TestAutomasi addresses the critical need for high-quality software by offering end-to-end testing solutions that enhance software reliability and performance. Their services help businesses identify and rectify software issues early in the development cycle, reducing time-to-market and minimizing post-release defects. Through expert consulting, tailored training programs, and recruitment assistance, TestAutomasi empowers organizations to build robust testing frameworks and cultivate skilled in-house teams, ultimately leading to superior software products and enhanced customer satisfaction.

Working Planet is a quantitative digital marketing agency specializing in profit-driven optimization of paid media campaigns. Since 2003, they have partnered with businesses to transform data into a powerful driver of profit, delivering measurable results through strategies that tie marketing investments directly to financial outcomes. Key Features and Functionality: - Data-Driven Optimization: Utilizes custom statistical modeling to integrate ad network performance, site analytics, and post-web lead and sales data, ensuring marketing spend maximizes both profit and long-term growth. - Comprehensive Program Management: Offers end-to-end management of feed-based marketing initiatives, closely monitoring performance and making data-driven adjustments to continuously improve campaign returns. - Custom Marketing Solutions: Provides tailored strategies that align with existing tech stacks, allowing businesses to retain their customers and own their brand without requiring costly changes to data and systems. - Risk Management: Mitigates financial risk and manages cash flow through data-driven optimization and financial modeling developed based on client goals. - Actionable Insights: Delivers real-time insights and reporting via custom dashboards, with daily performance monitoring by a team of marketing analysts. Primary Value and Solutions: Working Planet empowers businesses to scale their paid media confidently by providing clarity and precision in marketing investments. By focusing on profit-driven strategies and comprehensive program management, they help clients navigate the evolving digital marketing landscape, effectively manage risk, and achieve sustainable growth. Their approach ensures that marketing efforts are not just about chasing clicks but are strategically aligned to drive measurable financial outcomes.