FOR AI DEVOPS
AI Security Built for Modern Development Teams
Unified, intent-aware protection that integrates directly into AI pipelines, so builders can ship faster without introducing new risk.
Secure AI At The System Level Without Slowing Delivery
From internal tools to production platforms, AI systems need protection that fits modern delivery.
PromptShield™ secures AI workflows at runtime—without adding friction to how teams build and ship.
Delivery velocity stays intact
Runtime protection secures AI pipelines across prompts, data, and outputs—without slowing development or forcing rewrites.
Intent drives protection
PromptShield™ understands normal system behavior across agents and workflows, detecting misuse, abuse, and prompt injection without blocking legitimate use.
Security burden is reduced
Built-in guardrails meet security expectations without turning engineering into the permanent risk owner.
AI Protection Built For Continuous Delivery
Under constant pressure to ship, AI DevOps teams can count on PromptShield™ to secure AI workflows at runtime
—preserving velocity as systems move from experimentation to production.
PromptShield™ Protects AI Pipelines from data poisoning,
leakage, and hidden prompt attacks
Blocks prompt injection and jailbreaks.
Enforces safety across APIs, chat, and UI layers.
Detects session-based and multi-turn attacks.
Full visibility into all AI in your infrastructure.
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™ unifies runtime inspection, intent-aware detection, and pipeline-safe guardrails so DevOps
teams can secure AI platforms from build to production without slowing delivery.
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 LLMs Exploiting NPM Packages
PromptShield™ Vs Claude File Creation Attacks
The Hidden Risks Of AI Data Poisoning
Frequently Asked Questions
Explore how PromptShield protects AI pipelines, workflows, and code—without disrupting how teams build and ship.
What Are The Primary AI Security Risks In DevOps Environments?
In DevOps environments, integrating AI introduces several security risks. One significant concern is the ‘AI exposure gap,’ where cybersecurity measures fail to keep pace with AI adoption, leading to potential breaches. Additionally, the reliance on AI-generated code can create an ‘illusion of correctness,’ as such code may conceal serious vulnerabilities, increasing the risk of security incidents.
How Can Adversarial AI Attacks Impact DevOps Processes?
Adversarial AI attacks involve malicious actors manipulating AI models to produce unintended outcomes, posing significant threats to DevOps processes. These attacks can lead to data breaches, model misbehavior, and compromised system integrity.
How Can Organizations Develop An Effective Cybersecurity Strategy For AI In DevOps?
First, conduct a comprehensive AI security risk assessment to identify potential vulnerabilities. Next, set clear security goals aligned with organizational objectives and evaluate existing technologies to ensure they support these goals. Selecting an appropriate security framework, reviewing and updating security policies, and creating a risk management plan are essential components.
What Is PromptShield™, And How Does it Enhance AI Security In DevOps?
By integrating PromptShield™ into DevOps pipelines, organizations can proactively detect and prevent adversarial attacks, unauthorized AI usage, and other security threats. This integration enhances the overall security posture of AI systems, allowing for faster and safer deployment of AI-driven applications.