What are the opening hours?

Monday 9am - 5pm Tuesday 9am - 5pm Wednesday 9am - 5pm Thursday 9am - 5pm Friday 9am - 5pm

Prediction Guard

Name: Prediction Guard
Address: 101 N 4RTH Street, Lafayette, IN, 47901, US
Telephone: +17654095758

Home
United States
Lafayette, IN
Prediction Guard

Integrate controlled and compliant LLMs! 🚀 Prevent hallucination and outputs of unstructured text

08/25/2026

Zero trust for AI agents isn't optional anymore, it's federal policy.

Join Prediction Guard and Carahsoft for a webinar on what the June 2026 Executive Order means for agencies and contractors, and how to actually operationalize zero trust across AI model interactions and tool calls.

You'll walk away knowing how to:

→ Enforce least-privilege access and tamper-evident auditing across agent-to-agent communications
→ Map your controls to NIST SP 800-207, NIST AI RMF and CMMC Level 2
→ Build a runtime governance layer that meets rigorous standards without slowing innovation

CPE eligible. Register today, link in comments.

08/18/2026

Most AI agent safety conversations stop at the model layer. Block the prompt injection, filter the toxic output, mask the PII. Important work, but it misses a second attack surface: the machine the agent runs on.

Once an agent is running on a laptop or cloud VM, it can reach SSH keys, config files, other services, anything on that box. Governing the model doesn't help if the agent exfiltrates data through a path that never touches your governance layer.

So we teamed up with Docker to close that gap, pairing two layers of defense that cover each other's blind spots:

tag (Docker) Sandbox locks down the runtime. The agent runs isolated, with no path to the host or the open internet.

tag(Prediction Guard) governs the model layer. Every request is checked and policy-enforced before it ever reaches the model.

We put it to the test: a malicious file planted in the agent's workspace, trying to ship SSH keys to an external server. Neither layer alone stops it. Together, both paths are closed.

Full writeup, architecture, and step-by-step setup in the comments 👇

08/13/2026

The June 2, 2026 Executive Order on Advanced AI Innovation and Security made one thing clear: the federal AI agenda is no longer about adoption. It's about hardening systems against a fast-evolving adversary threat.

Agencies and contractors are already behind the curve. This webinar is the roadmap to catch up.

Join Prediction Guard and Carahsoft to learn how to build agents that are secure, and standards-aligned without slowing innovation. You'll learn how to:
• Enforce verifiable identity, least-privilege access, and tamper-evident auditing across all model interactions and inter-agent communications
• Map controls to NIST SP 800-207 (Zero Trust Architecture), the NIST AI RMF, and CMMC Level 2
• Operationalize runtime governance with Prediction Guard's self-hosted infrastructure as the primary point of enforcement

Sovereign AI starts with control. Secure your spot in the comments below!

07/15/2026

Stop relying on paper-thin safety policies—enterprise buyers and compliance teams now demand the technical receipts.

If your organization is deploying AI models or autonomous agents using manual screenshots and disjointed logs, you are risking failed audits and lost enterprise deals. Join us on August 4, 2026, at 11:00 AM EDT for a focused, 30 minute webinar where we’ll demonstrate how to build an automated evidence pipeline. You'll learn how to seamlessly capture the cryptographic data lineage, runtime telemetry, and continuous evaluation loops needed to satisfy the NIST AI RMF and AIUC-1 frameworks without slowing down engineering velocity.

👉 Secure your spot in the comments below!

07/10/2026

Paper policies won't save you from your next AI audit.

Enterprise buyers and compliance teams are no longer accepting high-level safety promises on paper. They want the technical receipts.
If your enterprise is deploying AI models and autonomous agents without a continuous evidence pipeline, you’re risking failed audits and stalled enterprise deals. Relying on manual screenshots and disjointed logs just won't cut it for non-deterministic AI behaviors.

Join our CEO, Daniel Whitenack, for a focused, 30-minute deep dive into building an automated evidence pipeline for your AI systems.

🗓️ Date: August 4, 2026
🕚 Time: 11:00 AM EST (Indiana East)
⏳ Duration: 30 minutes

What we’ll cover:
•The Dual-Framework Blueprint: Mapping organizational risk (NIST AI RMF) alongside behavior-driven assurance for agents (AIUC-1).
•Automated Evidence Architectures: Implementing cryptographic data lineage and runtime telemetry to prove data isolation.
•The Continuous Eval & Audit Loop: Embedding automated evaluation suites into a centralized compliance repository.

Stop letting compliance stall your engineering velocity. Learn how to generate verifiable proof without creating friction for your development teams.
👉 Secure your spot in the comments below!

07/08/2026

Developer velocity vs. Organizational risk. It’s the ultimate AI tug-of-war.

Your engineers want to use agentic coding tools like Claude Code and Cursor today. But without the right guardrails, you risk massive usage bills, security vulnerabilities, or worse destructive database errors.

In less than a week (July 14 @ 11 AM EDT), we’re hosting a 30 minute deep dive on how to solve this exact problem using Prediction Guard.

Learn how to:
• Implement a blueprint for production-grade AI governance.
• Control and monitor agents without adding friction for devs.
• Stop hesitating on AI adoption and outpace your competitors safely.

Don't let risk stall your team's productivity. Seats are filling up fast!
👉 Save your spot in the comments!

07/07/2026

$500,000,000. In a single month.

That is what one enterprise accidentally spent on LLM licenses because they failed to set usage limits.

Meanwhile, Uber burned its entire 2026 AI budget by April after employees started "tokenmaxxing" gaming internal leaderboards with low-value prompts.

The enterprise AI hangover is here, and the root cause is simple: Tokens are the new compute unit, but our governance toolkit hasn't caught up. Treating AI like flat-rate SaaS is a multi-million dollar mistake. Managing token spend inside individual application code doesn't work—it must be enforced at the system infrastructure layer.

In his latest article, Jacob Mansdorfer breaks down why companies need an AI Control Plane to enforce:
• Hard, cross-tenant budget cutoffs
• Unified audit logging for Finance & Compliance
• In-flight PII and prompt injection filtering

Stop discovering your AI spend through a surprise invoice at the end of the month.

👉 Read the full piece in the comments!

07/01/2026

Developers want to use Claude Code and Cursor. Engineering leaders want to ensure they don't accidentally delete a database or blow the budget.

You don't have to choose between developer speed and organizational control.
Join our upcoming 30-minute flash webinar to learn how to seamlessly layer AI governance on top of agentic coding tools using Prediction Guard.

We’ll cover:
• The Agentic Development Blueprint
• Architecture for seamless governance enforcement
• A live demo of safe, observable agentic coding

Scale your AI development safely.
👉 Register in the comments below!

06/30/2026

🤖 AI agents just killed the traditional security perimeter. When an autonomous agent is manipulated via prompt injection, it isn't an outsider breaking in it’s a trusted insider with legitimate keys to the castle. To scale agentic AI safely, enterprise security must shift from the network edge to an in-boundary Zero Trust Control Plane.

Here is what that means in practice:

Assume Breach: Design systems expecting an agent to be compromised.
Enforce Least Agency: Restrict exactly what a tool can do (e.g., a summarizer should never have delete rights).
Govern in the Critical Path: Enforce PII masking and tool restriction inside your secure boundary before data ever hits a third-party API.

With AI-accelerated threats compressing exploit timelines from months to hours, architecting for breach from day one is no longer a choice, but an immediate operational necessity. 👉 Read the full breakdown by Katie Bowen on how Prediction Guard is building the new security primitive for the agentic era in the comments below.

06/23/2026

If your engineering org isn’t adopting agentic coding tools like Claude Code or Cursor, you’re already falling behind.

Developers want the massive productivity gains, but leadership is rightly worried about the risks: accidental database deletions, runaway API costs, and hidden security vulnerabilities.

The fix? You don't need to block the tools you just need the right guardrails.

Join us on July 14th for a laser focused, 30 minute webinar: Transform your engineering org with agentic coding while enforcing strict AI governance.
We’ll show you how to use Prediction Guard to seamlessly control and monitor agentic coding workflows without ruining the developer experience.

What we’ll cover:

• The Agentic Development Blueprint: Modern workflows and agent harnesses.
• Seamless Governance Enforcement: The architecture needed to protect your repositories.
• Live Demo: Real-time developer interactions with full guardrails and observability in action.

Stop letting risk stall your innovation. Learn how to balance speed with bulletproof control.

📅 Date: July 14th
⏱️ Duration: 30 Minutes
👉 Secure your spot in the comments below!

Address

101 N 4RTH Street
Lafayette, IN
47901

Opening Hours

Monday	9am - 5pm
Tuesday	9am - 5pm
Wednesday	9am - 5pm
Thursday	9am - 5pm
Friday	9am - 5pm

Telephone

+17654095758

Website

http://www.predictionguard.com/

Alerts

Be the first to know and let us send you an email when Prediction Guard posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The Business

Send a message to Prediction Guard: