PointGuard
AI, a leader in AI security and governance, announced an expansion of
its platform at Black
Hat USA 2025. In an industry first, PointGuard provides AI discovery,
threat correlation, and protection across the full AI stack – including source
code repositories like GitHub,
MLOps pipelines, and critical AI resources such as models, datasets, notebooks,
and agents.
With this unmatched visibility, security teams can uncover hidden AI projects
and dangerous assets within software development and MLOps environments – and
connect the dots across silos to detect new types of threats to AI systems,
mitigate risks, and enforce end-to-end governance.
“Our goal is to enable AI innovation – not hinder it, but that requires
end-to-end security, and governance across the AI lifecycle,” said Pravin
Kothari, Founder and CEO of PointGuard AI. “By extending our powerful discovery
and correlation engine to code repositories, we are exposing and securing AI
tools before they become embedded in enterprise applications.”
The platform now scans GitHub and other source code repositories to identify
AI-related components including models, datasets, notebooks, API calls, and
libraries – along with connections to external applications or data sources.
This enhanced discovery is tightly integrated with AI security posture
management, red teaming, runtime guardrails, policy enforcement, and AI
governance – enabling organizations to correlate risks across AI pipelines. Use
cases include identifying code that includes illicit AI prompts, detecting prompt
injections that might exploit code vulnerabilities, or finding misconfigured
agents than can leak sensitive data.
A recent IBM survey found that 13% of organizations have already experienced
breaches involving AI models – with 97% of those lacking even basic access
controls. In real-world incidents, prompt injections have tricked AI agents
into executing destructive tasks such as deleting infrastructure. These risks
are amplified when AI tools remain undiscovered and ungoverned.
PointGuard provides discovery and protection for AI pipelines across platforms
like Databricks, Azure, AWS, and GCP. With the addition of source code scanning
and multi-channel threat correlation, PointGuard now covers the entire AI
lifecycle – delivering visibility, control, and compliance from development to
deployment.
