FOR EMPLOYEES

Use AI With Confidence

Built-in protection for everyday AI use, keeping confidential data safe while employees experiment, create, and deliver.

Protect People. Prevent Mistakes.

Your employees are carrying heavy cognitive loads while having to get work done faster and better on limited time.
Help associates avoid mistakes that could create compliance, privacy, or reputational risk while providing clear guidance around AI usage.

Protects work automatically, without slowing teams down.

Security runs quietly in the background, so employees can use AI freely without changing how they work.

Understands intent to prevent
real risk

Distinguishes productive AI use from risky behavior, avoiding unnecessary blocks while stopping mistakes.

Prevents accidental data exposure across all AI tools

Protects sensitive information consistently across agents, models, and platforms—reducing compliance and reputational risk.

Built In Protection From Malicious AI

PromptShield™ protects users from malicious or misaligned AI outputs
reducing exposure to harmful content, ethical violations, and psychological risk.

PromptShield™ Secures Employees At Every Unseen AI Touchpoint

Detects attacks users never typed.

Protects against compromised or unsafe AI tools.

Blocks malicious templates, scripts, and hidden instructions.

Reduces exposure to indirect attacks. 

PromptShield™ Deployment Options

From edge to core, PromptShield™ adapts to your architecture: cloud, on-prem, or hybrid with scalable inspection depth.


L1

Presence Detection

plug & play / no risk

L2

Full Detection

plug & play / very low risk

L3

Inline Blocking

redundancy required

PromptShield™

AI Firewall & Intent Engine

included in every deployment

Active Intelligence and dashboards

+ 2 way threat detection and logging

+ Collects risk data compiled but no traffic blocked

+ Blocks malicious prompts in real time

+ Rewrites unsafe responses

+ Enforces policy decisions in-path

On Premises / Virtual Machine

IDS Node, virtual or plug and play device

Set-up with ongoing support


+ PromptShield™ attached to firewall handling only AI domains

+ Enterprise level rack mount

Cloud

AWS/Cloud deployment

VM machine & Container

+ AI domains steered entirely for PromptShield™ handling

+ Secure AI Gateway for complete AI traffic flow control

+ High performance VM/full load balancing

Full Stack AI Security Without The Complexity

PromptShield™ combines AI-native monitoring, intent-aware detection, and policy enforcement
giving employees safe access to AI without increasing organizational risk.

PromptShield™ In Practice

Each short video highlights a real scenario: a risk appears, PromptShield™ intervenes, and teams stay productive without disruption.
Simple, fast, and built for real environments.

PromptShield™ Vs Claude File Creation Attacks

PromptShield™ Vs Google Calendar Invitation Attack

Shadow AI: The Business Risk You Can't Ignore

Frequently Asked Questions

Explore how PromptShield™ helps teams use AI every day—while keeping models, workflows, and code protected.

How Can Organizations Address The Challenges Posed By The Rapid Adoption Of AI Technologies?

Organizations can address the challenges of rapid AI adoption by implementing comprehensive AI governance frameworks, providing ongoing employee training, and establishing clear policies for AI usage. Regular audits and continuous monitoring of AI systems can help identify and mitigate potential risks. Collaborating with industry experts and staying informed about emerging AI threats are also crucial for adapting to the evolving AI landscape.

To mitigate human-initiated AI risks, organizations should implement comprehensive AI governance policies, conduct regular employee training on AI usage, and establish clear guidelines for acceptable AI interactions.

Monitoring AI usage and auditing AI-generated outputs can help identify and address potential misuse. Additionally, providing employees with approved AI tools and integrating AI into the organization’s cybersecurity framework can reduce the likelihood of unauthorized AI use.

Shadow AI refers to the unsanctioned use of AI tools by employees without organizational oversight. This practice can lead to significant risks, such as data leakage, legal liabilities, regulatory breaches, and increased vulnerability to cyber threats. To mitigate these risks, organizations should audit AI usage, establish clear policies, conduct employee training, and integrate AI into their cybersecurity frameworks.

Adversarial AI attacks involve external actors manipulating AI systems through techniques like prompt injection, data poisoning, and model evasion. These attacks exploit vulnerabilities in AI models to produce unintended or harmful outputs. To defend against adversarial AI attacks, organizations should implement intent-based detection, continuous monitoring, and robust input validation.

Effective AI governance policies should include clear guidelines for acceptable AI usage, procedures for monitoring and auditing AI interactions, and protocols for addressing potential misuse.

Organizations should provide training to employees on responsible AI use and establish mechanisms for reporting and addressing AI-related incidents. Regular reviews and updates of AI governance policies are necessary to adapt to evolving AI technologies and emerging security threats”

Secure Your Entire AI Practice