Brinqa, Guardare, HackerOne and NopSec

About Guardare

Guardare sells a platform that connects data from existing security tools to uncover exposures, prioritize what matters, and give teams clear next steps across people, devices, software, and cloud. Guardare describes its Unified Exposure Management approach as bringing together vulnerability, asset, threat, human-risk, and security-control information. Guardare finds misconfigurations, gaps, and overlaps in the tools its customers currently use. Guardare connects existing tools rather than replacing them, and provides risk scoring and a unified dashboard.^{[1][4][5][10]}

Guardare connects to endpoint, firewall, identity, cloud, and other IT tools through API integrations. Guardare has 200+ integrations that connect existing IT and security tools through read-only APIs, bringing their data into a shared risk context across users, devices, and applications. Guardare integrates with EDRs, XDRs, firewalls, cloud platforms, IAM tools, and SOAR/SIEM systems. GuardScan is an agent that collects Active Directory over LDAP data for on-premises domains.^[4][6][7]

Guardare builds a unified risk graph of every user, device, and application, flags critical exposures, and ranks them by business impact. Guardare combines classical machine learning and large language models with human oversight. Guardare predicts how each organization could be targeted based on its tech stack, policies, and procedures.^[6]

Guardare was developed in-house with purpose-built AI. Guardare trained its AI on datasets like MITRE and other CVE sources, then expanded it with insights aligned to frameworks such as NIST, ISO 27001, CMMC, and CIS Controls. Guardare draws from data sources such as MITRE ATT&CK and global CVE databases.^[6]

Guardare gives natural language instructions in order of importance to help lower risk. Guardare translates technical findings into plain-language reports with clear recommendations. Guardare lets teams assign recommendations to people, create Jira tickets, and track recommendation status. Paul Whiteside is the subject of a Guardare case study about a security stack spread across nine tools.^[4][6][8]

Guardare pricing is based on employees with a digital footprint, such as a work email address. Guardare customers are billed annually in advance under their selected 1-year or 3-year contract term. Customers can purchase Guardare directly from the company or through a partner. Guardare shows separate SLED and nonprofit rates. Guardare provides connected exposure visibility across people, devices, software, identity, and cloud. Guardare provides risk-based prioritization to help teams decide what to address first. Guardare provides reporting to help explain findings and progress.^[9]

Guardare offers Support Services 24 hours per day, 7 days per week for Severity Level 1 incidents, via phone and online ticket submission. Guardare uses commercially reasonable efforts to meet a monthly Target Availability of 99.9% for its Subscription Services. Guardare states it will maintain security controls for its Subscription Services, including encryption of data in transit with TLS 1.2 or higher and at rest.^[10]

Guardare says it provides organizations with tools for SMB risk management and risk prioritization.^{[4][6][10][11]}

About HackerOne

HackerOne puts Continuous Threat Exposure Management (CTEM) in practice through a continuous loop of discovery, validation, prioritization and remediation. The H1 Platform continuously discovers, validates, prioritizes and remediates exploitable risk across the entire attack surface. The H1 Platform operationalizes CTEM as a single connected system, with Hai as the agentic orchestration layer across every stage. Each product is an entry point into the full H1 Platform.^[1][2]

Hai is HackerOne's agentic AI orchestrator, powering automation across the H1 Platform. Hai coordinates agents across every stage of the platform as a single connected system. Hai scores every incoming finding and surfaces what is actually exploitable in the customer's environment. Within H1 Bounty, Hai supports a team with triage, report summaries, and remediation guidance. HackerOne's global community of researchers continues to do the finding.^[2][3]

Remediation guidance routes each finding to the right owner with full exploit context, delivered into the tools a team already uses. Retests confirm that fixes hold, and regression monitoring catches recurrences before they reopen. Core capabilities include continuous asset discovery and exposure scoring, workflow automation, and 36+ integrations. Cross-program dashboards track exposure velocity, remediation speed, and signal quality. Return on Mitigation is self-serve and gives a measure of avoided financial loss. The H1 Platform's multi-model harness broadens coverage, validates outputs, and traces findings to root cause.^[2]

HackerOne's product lineup covers several kinds of testing. Always-on agentic testing continuously finds, validates and proves exploitable vulnerabilities across applications. Source code-informed fix plans are delivered in one click to engineering. AI code security reviews pull requests, validates exploitability and delivers context-aware fixes into developer workflows. Incentivized, time-boxed testing focuses researchers on a specific scope or objective. H1 Code, H1 Code Security Audit, and H1 Remediation are available with opt-in frontier cyber model access, adding deeper reasoning across the codebase.^[2][4]

HackerOne combines human-led offensive testing with agentic adversarial validation for AI security. HackerOne tests models, retrieval pipelines, tools, APIs, and agent workflows to validate where systems can be exploited under real adversarial pressure. AI red teaming is adversarial testing built for AI systems, models, agents, and their integrations. H1 AI Red Teaming engagements include agent-driven testing to validate prompt injection exploitability across retrieval pipelines, tool permissions, and agent workflows. Validated findings and reproducible attack traces are delivered in the HackerOne Platform. AI red teaming reports can be mapped to NIST AI RMF, SOC 2, ISO 42001, HITRUST, and GDPR frameworks. HackerOne has tested 1,700+ AI assets across customer scopes.^[3][4][5]

Anthropic CISO Jason Clinton chose HackerOne's full-stack red teaming to uncover hidden risks across AI models, applications, and system integrations. HackerOne names frontier labs and global enterprises as organizations it serves with AI security testing.^[2][3][5]

About NopSec

NopSec sells a Cyber Threat Exposure Management (CTEM) platform and penetration testing services.^[1][2][3]

NopSec addresses teams that struggle to understand and remediate the vulnerabilities that matter to their business using a mix of spreadsheets. NopSec serves the RBVM needs of CISOs and Vulnerability Management teams.^[2][4]

The NopSec platform aggregates vulnerability prioritization, remediation automation and performance reporting into one centralized platform. NopSec integrates with infrastructure scanners, cloud asset scanners, application scanners (SAST and DAST) and Configuration Management Databases (CMDBs). NopSec UVRM integrates with over 50 threat intelligence and asset data technologies to assess risk, prioritize remediations and report on progress. Bi-directional syncing between NopSec and vulnerability scanners ensures security tools report the same status.^[1][2][5][6]

NopSec uses a patented machine-learning algorithm to surface infrastructure, application and cloud/container vulnerabilities most likely to be weaponized. NopSec prioritizes vulnerabilities associated with malware and exploit kits, not just vulnerabilities identified with exploits. The NopSec platform aggregates application and infrastructure vulnerability data. NopSec attack path mapping lets Security teams visually validate the effectiveness of their controls and the effects of their potential remediations on their network.^[5][9]

NopSec provides full-stack reporting that puts application vulnerabilities next to infrastructure vulnerabilities. NopSec enables Security teams to benchmark progress, quantify risk remediation and articulate risk by business line.^[5]

NopSec has performed manual penetration testing and red-teaming engagements across infrastructure, applications, wireless, mobile, social engineering and VoIP since 2008. NopSec in-house security experts simulate attack scenarios on a customer environment to help identify critical vulnerabilities before they are weaponized. NopSec evaluates exploitable areas of risk in infrastructure, applications and employees. NopSec services are custom scoped and custom quoted because no two environments are exactly the same.^[7][8]

NopSec runs either agent-deployed or traditional-schedule scans. NopSec reports on risk posture and progress in the customer's UVRM instance.^[9]

NopSec's security research team simulates real-world attacks against AI-powered applications, LLM integrations and agentic infrastructure to find exploitable weaknesses. NopSec tests applications that use retrieval-augmented generation for adversarial content injected into the knowledge base or retrieved documents.^[3]

Cisco announced end-of-life for Kenna Security in December 2025. NopSec created a dedicated program specifically for Kenna customers. NopSec's JumpStart Program includes dedicated migration specialists. NopSec is scanner-agnostic and integrates with Tenable, Qualys, Rapid7, CrowdStrike, Defender, AWS Security Hub, Azure Security Center and many other sources.^[10]

NopSec was founded by white hat hackers aiming to help companies improve their cybersecurity from attacks. NopSec follows the NIST Cybersecurity Framework with layered security controls to help identify, prevent, detect and respond to security incidents.^{[1][2][3][9][10][12]}