PointGuard AI
PointGuard AI is a web-based application security platform for bringing findings together and managing vulnerabilities across the software lifecycle.
What PointGuard AI is
PointGuard AI is a web-based application security platform for bringing findings together and managing vulnerabilities across the software lifecycle. It aggregates and deduplicates security data from hundreds of tools, then prioritizes risks using severity, exploitability, threat intelligence, and business context. Dashboards offer drill-down, rollup, and filtering. The platform supports policy-based CI/CD gates from development through operations, along with tracking and SLA monitoring. Automated remediation workflows connect with Jira, ServiceNow, Slack, and PagerDuty. PointGuard also describes security capabilities for AI agents, MCP servers, models, applications, and cloud environments, including discovery, runtime control, and governance. It says risks and controls can be mapped to OWASP guidance, NIST AI RMF, MITRE ATLAS, ISO 42001, and the EU AI Act. The company describes its customers as enterprises, including Finastra and defense and government agencies. PointGuard offers an expert assessment and live demo through its site. Pricing is available on request. The company says it began as AppSOC in 2022 and rebranded in May 2025.
Good
- Aggregates security data from hundreds of tools
- Risk prioritization includes business context
- Policy-based CI/CD gates
- Remediation workflows connect to Jira and ServiceNow
Watch out
- Pricing is available on request
- Listed platform is web-based
Who it suits
PointGuard AI is aimed at enterprise customers managing security findings across software and AI-related environments. Its listed integrations may suit teams using Jira, ServiceNow, Slack, or PagerDuty for remediation workflows.
Verdict
PointGuard AI combines finding consolidation, risk prioritization, lifecycle controls, and remediation workflows. Pricing is available on request, so organizations need to contact the company for details.
The facts
Each one read from PointGuard AI's own pages, with the date it was checked.
What it does
- AI and agent security
- The company describes its platform as securing AI agents, MCP servers, models, applications, and cloud environments through discovery, runtime control, and governance.checked 3 Oct 2026
- Customer fit
- PointGuard describes its platform as serving enterprises and identifies Finastra, defense and government agencies, and global enterprises among its customers.checked 2 Oct 2026
- Dashboards
- Aggregated findings appear in dashboards with drill-down, rollup, and filtering.checked 3 Oct 2026
- Data consolidation
- The platform aggregates, deduplicates, and unifies security data across hundreds of tools.checked 2 Oct 2026
- Deployment example
- A defense agency case study describes an on-premises, air-gapped deployment with no outbound communication from the secure location.checked 3 Oct 2026
- Framework alignment
- PointGuard says it maps detected risks and controls to OWASP LLM Top 10, OWASP Top 10 for Agentic Applications, NIST AI RMF, MITRE ATLAS, ISO 42001, and the EU AI Act.checked 3 Oct 2026
- Integrations
- The application security page describes out-of-the-box integrations across SAST, DAST, SCA, IaC, container, cloud, and infrastructure tools.checked 3 Oct 2026
- Intended customers
- The company describes serving enterprise customers across North America, EMEA, and APAC.checked 3 Oct 2026
- Lifecycle controls
- It supports policy-based CI/CD gating to manage the SDLC from development through operations.checked 3 Oct 2026
- Lifecycle coverage
- The platform supports SDLC management from Dev to Ops, including policy-based CI/CD gating and SLA tracking.checked 2 Oct 2026
- Noise reduction
- PointGuard AI says it eliminates over 90% of noise from redundant findings, false alerts, and low-priority signals.checked 3 Oct 2026
- Performance
- The company states that agent policy checks take under 0.1 ms, DLP inspection under 30 ms, and prompt injection guardrails under 70 ms.checked 2 Oct 2026
- Purpose
- PointGuard AI describes its application security platform as unifying security findings and managing vulnerabilities across the software lifecycle.checked 2 Oct 2026
- Remediation
- The application security page says automated remediation workflows work with Jira, ServiceNow, Slack, and PagerDuty.checked 2 Oct 2026
- Remediation workflows
- It automates remediation workflows, tracking, notifications, and SLA monitoring.checked 3 Oct 2026
- Risk prioritization
- The platform prioritizes threats using severity, exploitability, threat intelligence, and business context.checked 3 Oct 2026
- Sales and support
- The company invites prospective customers to contact its expert team for a needs assessment, live demo, and solution recommendation.checked 3 Oct 2026
- Security frameworks
- PointGuard says it maps risks and controls to OWASP guidance, NIST AI RMF, MITRE ATLAS, ISO 42001, and the EU AI Act.checked 2 Oct 2026
- Workflow integrations
- The platform’s automated remediation workflows work with Jira, ServiceNow, Slack, and PagerDuty.checked 3 Oct 2026
Where it runs
- Application security
- PointGuard AI consolidates, deduplicates, and correlates security findings across the software lifecycle.checked 3 Oct 2026
The company
- Company history
- PointGuard AI says it was originally founded as AppSOC in 2022 and rebranded in May 2025.checked 2 Oct 2026
- Founded
- 2022checked 28 Sep 2026
- Headquarters
- PointGuard AI says it is headquartered in San Jose, California.checked 2 Oct 2026
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