Technology Industry Solutions
From AI-powered code to autonomous DevOps agents, govern what runs in production before it ships.
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From AI-powered code to autonomous DevOps agents, govern what runs in production before it ships.
Technology companies have embedded AI into nearly every corner of the business: AI coding assistants and copilots generating production code, agentic DevOps pipelines triggering builds and deployments, internal knowledge agents connected through MCP to codebases and ticketing systems, and customer-facing chatbots handling support at scale. Each new integration expands the attack surface faster than security teams can track it.
PointGuard AI gives technology enterprises a single control plane: continuous discovery of AI assets across GitHub, IDEs, and cloud platforms; cryptographic, DID-based identity for every agent; per-tool authorization over every MCP connection; sub-100ms detection of prompt injection and data leaks in every prompt and response; and continuous adversarial testing mapped to the OWASP LLM and Agentic Top 10 and NIST AI RMF. With AI-generated code security ranking as the leading risk, PointGuard helps software companies, platform providers, and technology enterprises ship AI-powered products securely, without slowing engineering teams down.
AI coding assistants and copilots pull suggestions from open-source models and code repositories that development teams never vet for vulnerabilities, license conflicts, or malicious payloads before merging into production.
With PointGuard, every coding model and MCP server is risk-scored, generating AI-BOMs before deployment reaches production.
Internal engineering and support teams connect agents to dozens of MCP servers exposing file systems, code execution, and internal APIs, compounding what a single compromised agent can reach.
PointGuard enforces per-agent, per-tool, per-operation authorization on every MCP call, routing high-risk operations through human approval workflows.
DevOps and release-automation agents increasingly share generic API keys or inherit developer credentials to trigger builds, deployments, and infrastructure changes, so no action traces back to the agent that took it.
PointGuard issues every pipeline agent its own cryptographic DID-based identity, enabling zero-trust authentication and instant revocation.
Engineers, support staff, and business teams paste proprietary source code, customer records, and internal roadmaps into public AI assistants and browser extensions that sit entirely outside sanctioned data-loss-prevention coverage.
Our AI-native DLP spans prompts, responses, and tool calls, detecting PII, source code, and IP instantly.
Customer-support and internal knowledge agents retrieve answers from tickets, documents, and web content that attackers can embed with hidden instructions, causing the assistant to leak data or act outside its intended scope.
PointGuard scans retrieved content and tool outputs for injection patterns before they reach the model, blocking malicious instructions.
Software and platform teams stand up autonomous agents faster than security can register or monitor them, leaving leadership unable to prove which agents are authorized, safe, or still in scope.
PointGuard's unified agent inventory, posture, and risk score prioritizes remediation before agents get shut down.
Explore our Use Case Library to see dozens of details examples of customer challenges, solutions, and deployment recommendations.
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Market leaders from Gartner have included PointGuard AI in multiple reports on the emerging AI security space.
