PointGuard AI
pointguardai.com
What it is
PointGuard AI is a web-based application security platform that brings findings together and manages vulnerabilities across the software lifecycle. It aggregates and deduplicates data from hundreds of tools, then prioritizes risk using severity, exploitability, threat intelligence, and business context. The company says this removes more than 90% of noise from duplicate, false, and low-priority signals. Dashboards support drill-down, rollup, and filtering. Policy-based CI/CD gates and SLA tracking cover development through operations, while automated remediation workflows connect with Jira, ServiceNow, Slack, and PagerDuty. PointGuard also describes controls for AI agents, MCP servers, models, applications, and cloud environments, including discovery, runtime control, and governance. It maps risks to frameworks such as OWASP guidance, NIST AI RMF, MITRE ATLAS, ISO 42001, and the EU AI Act. Pricing is on request; deployment is listed as hybrid.
Spec sheet
- Purpose
- PointGuard AI describes its application security platform as unifying security findings and managing vulnerabilities across the software lifecycle.Read 2 Oct 2026 · pointguardai.com
- Integrations
- The application security page describes out-of-the-box integrations across SAST, DAST, SCA, IaC, container, cloud, and infrastructure tools.Read 3 Oct 2026 · pointguardai.com
- Headquarters
- PointGuard AI says it is headquartered in San Jose, California.Read 2 Oct 2026 · pointguardai.com
- Founded
- 2022Read 28 Sep 2026 · pointguardai.com
- 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.Read 3 Oct 2026 · pointguardai.com
- Application security
- PointGuard AI consolidates, deduplicates, and correlates security findings across the software lifecycle.Read 3 Oct 2026 · pointguardai.com
- Company history
- PointGuard AI says it was originally founded as AppSOC in 2022 and rebranded in May 2025.Read 2 Oct 2026 · pointguardai.com
- Customer fit
- PointGuard describes its platform as serving enterprises and identifies Finastra, defense and government agencies, and global enterprises among its customers.Read 2 Oct 2026 · pointguardai.com
- Dashboards
- Aggregated findings appear in dashboards with drill-down, rollup, and filtering.Read 3 Oct 2026 · pointguardai.com
- Data consolidation
- The platform aggregates, deduplicates, and unifies security data across hundreds of tools.Read 2 Oct 2026 · pointguardai.com
- Deployment example
- A defense agency case study describes an on-premises, air-gapped deployment with no outbound communication from the secure location.Read 3 Oct 2026 · pointguardai.com
- 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.Read 3 Oct 2026 · pointguardai.com
- Intended customers
- The company describes serving enterprise customers across North America, EMEA, and APAC.Read 3 Oct 2026 · pointguardai.com
- Lifecycle controls
- It supports policy-based CI/CD gating to manage the SDLC from development through operations.Read 3 Oct 2026 · pointguardai.com
- Lifecycle coverage
- The platform supports SDLC management from Dev to Ops, including policy-based CI/CD gating and SLA tracking.Read 2 Oct 2026 · pointguardai.com
- Noise reduction
- PointGuard AI says it eliminates over 90% of noise from redundant findings, false alerts, and low-priority signals.Read 3 Oct 2026 · pointguardai.com
- 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.Read 2 Oct 2026 · pointguardai.com
- Remediation
- The application security page says automated remediation workflows work with Jira, ServiceNow, Slack, and PagerDuty.Read 2 Oct 2026 · pointguardai.com
- Remediation workflows
- It automates remediation workflows, tracking, notifications, and SLA monitoring.Read 3 Oct 2026 · pointguardai.com
- Risk prioritization
- The platform prioritizes threats using severity, exploitability, threat intelligence, and business context.Read 3 Oct 2026 · pointguardai.com
- Sales and support
- The company invites prospective customers to contact its expert team for a needs assessment, live demo, and solution recommendation.Read 3 Oct 2026 · pointguardai.com
- Security frameworks
- PointGuard says it maps risks and controls to OWASP guidance, NIST AI RMF, MITRE ATLAS, ISO 42001, and the EU AI Act.Read 2 Oct 2026 · pointguardai.com
- Workflow integrations
- The platform’s automated remediation workflows work with Jira, ServiceNow, Slack, and PagerDuty.Read 3 Oct 2026 · pointguardai.com
Strong points and limits
Strong points
- Aggregates findings from hundreds of tools
- Risk-based prioritization
- Policy-based CI/CD gates
- Integrates Jira and ServiceNow
- Dashboards support filtering and drill-down
Limits
- Pricing requires a request
- Web platform only
- Enterprise-focused customer profile
Who it suits
It is described for enterprise customers, including Finastra and defense and government agencies. It suits teams managing application-security findings, lifecycle gates, and remediation workflows across many tools.
Verdict
PointGuard AI combines finding consolidation, prioritization, lifecycle controls, and workflow integrations in a hybrid platform. Its stated scope also includes AI and agent security, while pricing and support-tier details require direct discussion.
Where Specifiction places it
- Application Security Orchestration Platforms#15 of 237.0