- Home
- Application Security Orchestration Platforms
- PointGuard AI
PointGuard AI
PointGuard AI says it is headquartered in San Jose, California.
What it is
PointGuard AI is a web-based application security platform for consolidating findings 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 provide drill-down, rollup, and filtering. Lifecycle controls include policy-based CI/CD gates, tracking, and SLA monitoring from development through operations. Automated remediation workflows connect with Jira, ServiceNow, Slack, and PagerDuty. The company also describes security for AI agents, MCP servers, models, applications, and cloud environments, covering discovery, runtime control, and governance. Its framework mappings include OWASP guidance, NIST AI RMF, MITRE ATLAS, ISO 42001, and the EU AI Act. PointGuard states that it reduces over 90% of noise from redundancy, false alerts, and low-priority signals. It also reports performance figures for agent policy checks, DLP inspection, and prompt injection guardrails. The company describes enterprise customers including Finastra and defense and government agencies. The platform is listed as hybrid deployment, and pricing is available on request. PointGuard offers an expert assessment and live demo through its site.
For and against
For
- Aggregates and deduplicates findings from hundreds of tools.
- Risk prioritization includes threat intelligence and business context.
- Supports policy-based CI/CD gates and SLA tracking.
- Remediation workflows connect with Jira and ServiceNow.
- Maps risks to named security frameworks and regulations.
Against
- Pricing is available on request.
- The platform is listed for web access.
The verdict
PointGuard AI brings vulnerability findings, prioritization, lifecycle controls, and remediation workflows into a shared platform. Enterprise buyers can request an assessment or demo and evaluate its hybrid deployment against their environment.
Who it suits
PointGuard AI is positioned for enterprise customers managing application security findings across development and operations. It may also interest organizations seeking security controls for AI agents and related systems.
On the record
- 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.pointguardai.com · read 3 Oct 2026
- Application security
- PointGuard AI consolidates, deduplicates, and correlates security findings across the software lifecycle.pointguardai.com · read 3 Oct 2026
- Company history
- PointGuard AI says it was originally founded as AppSOC in 2022 and rebranded in May 2025.pointguardai.com · read 2 Oct 2026
- Customer fit
- PointGuard describes its platform as serving enterprises and identifies Finastra, defense and government agencies, and global enterprises among its customers.pointguardai.com · read 2 Oct 2026
- Dashboards
- Aggregated findings appear in dashboards with drill-down, rollup, and filtering.pointguardai.com · read 3 Oct 2026
- Data consolidation
- The platform aggregates, deduplicates, and unifies security data across hundreds of tools.pointguardai.com · read 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.pointguardai.com · read 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.pointguardai.com · read 3 Oct 2026
- Integrations
- The application security page describes out-of-the-box integrations across SAST, DAST, SCA, IaC, container, cloud, and infrastructure tools.pointguardai.com · read 3 Oct 2026
- Intended customers
- The company describes serving enterprise customers across North America, EMEA, and APAC.pointguardai.com · read 3 Oct 2026
- Lifecycle controls
- It supports policy-based CI/CD gating to manage the SDLC from development through operations.pointguardai.com · read 3 Oct 2026
- Lifecycle coverage
- The platform supports SDLC management from Dev to Ops, including policy-based CI/CD gating and SLA tracking.pointguardai.com · read 2 Oct 2026
- Noise reduction
- PointGuard AI says it eliminates over 90% of noise from redundant findings, false alerts, and low-priority signals.pointguardai.com · read 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.pointguardai.com · read 2 Oct 2026
- Purpose
- PointGuard AI describes its application security platform as unifying security findings and managing vulnerabilities across the software lifecycle.pointguardai.com · read 2 Oct 2026
- Remediation
- The application security page says automated remediation workflows work with Jira, ServiceNow, Slack, and PagerDuty.pointguardai.com · read 2 Oct 2026
- Remediation workflows
- It automates remediation workflows, tracking, notifications, and SLA monitoring.pointguardai.com · read 3 Oct 2026
- Risk prioritization
- The platform prioritizes threats using severity, exploitability, threat intelligence, and business context.pointguardai.com · read 3 Oct 2026
