Comprehensive AI  Security: Unlike many products that focus on a single aspect, Alert AI provides security controls across the entire AI development lifecycle, from data acquisition and model development to deployment, and  protects Enterprise AI Tools, Enterprise AI Applications, AI workloads, AI Agents alike.

• AI Security Gateway
• AI Policy Gateway
• Inline/Offline, no code changes require
• AI Access, Data leakage,Content Security, Resiliency, Cost, Resource control via gateway
• Holistic Platform for AI Agents Security, GenAI Apps and AI Tools & Supply Chain
• Integrates throughout existing development and SecOps workflows
• Automated AI red teaming
• AIBOM generation
• Full AI lifecycle security (development to runtime)
• Autonomous operations
• Autonomous Policy Control
• Self-Healing, Cost &  AI resiliency

Alert AI “Secure AI Anywhere” – AI Security gateway as Cloud Native Services offer:

1. AI Agents, LLM Applications Security
2. Autonomous AI Policy Control
3. AI Guardrails, RAG Policy control
4. AI Access Security
5. AI Prompt Security
6. Automatic LLM Vulnerability Scans
7. Self-healing, Cost, AI Resilience
8. AI Content Policies
9. AI Tool, MCP, CoPilot Security
10. AI Supply Chain Security (AI BOM)
11. AI Governance
12. AI Forensics

How Alert AI Security Gateway  Works?

• Inline & Offline AI Security Gateway:  AI security gateway with its multi-layers defense in depth, AI Access security, AI Runtime security, AI Policeis, guardrails, Prompt, Content Security, Moderation, Blocking and Allowing  all AI Interactions of GenAI , Agentic AI applications.

• Agentic AI security:  AI agents can interact with multiple systems, Alert AI offers security controls and  protections for the “Internet of Agents.” This includes protecting against Agent hallucinations, Data leakage, and Integrity attacks, Context Attacks, Tool poisoning, Shadow/Rogue AI Agents in complex, multi-agent workflows.

• Adversarial AI threat detection: Data Poisoning, Evasion, and Inference-time attackss using indicators of attack (IoA) and indicators of copromise (IoC) and  threat DB to identify manipulated inputs and compromised integrity.

• AI Security Lake (AISL):   AI Security signals, AI Security Data points for Detection Learning scalable up to order of millions to trillions if needed, AI Interactions, Metrics, Events, Logs, Traces from AI Agents, AI Applications, AI Infrastructure.
• AI Security Analytics:  Real-Time, Offline  Security Analytics, Security feature extraction, Aggregations, Threat and Incident detection end to end full AI life-cycle.
• AI Incidents & Response (AIDR) : Alerting in real-time, Autonomous Incident Resolution, Auto configuring, Autonomous AI Policy Control and Self-healing AI Agents.

• Domain-specific security guardrails: AI Policies can be customized with domain-specific guardrails, such as filtering sensitive information like PII (Personally Identifiable Information) and PHI (Protected Health Information).

• AI Asset tracking:  AI Agent Models, GenAI Applicaitons, Agentic AI Tools,Experiments, Evaluations, Datasets, Runs, Jobs, Versions catalog, listing, tracking, reports.

• Continuous Posture assessment: Moving beyond static security snapshots, the platform continuously monitors the security posture of AI assets, identifying misconfigurations and vulnerabilities in real-time. It then prioritizes risks by correlating data sensitivity with factors like permissions and vulnerabilities.

• Enhanced AI Forensics and AI Governance: Alert AI aggregates AI incidents to provide detailed “incident footprint reports” that allow for rapid root cause analysis. This supports robust auditing for compliance with regulations like GDPR and HIPAA.

Alert AI “Secure AI anywhere” AI Security Gateway

• “Secure AI Anywhere” Zero Trust: The gateway is a “Zero Trust AI” solution that provides robust security regardless of where the AI models are running—locally, on-premise, or in the cloud. It enforces granular access policies based on identity, device, and location.
• Zero-code deployment: The gateway can be deployed quickly and manages AI applications without requiring any changes to the underlying application code. This simplifies integration and accelerates the time-to-market for AI-powered features as applications built and run on any platform, any LLM, any data.
• RAG Shield protection: For Retrieval Augmented Generation (RAG) systems, the gateway includes a specialized RAG Shield. This protects against data manipulation and misinformation by ensuring the integrity of the retrieved data used to augment the AI model’s responses 
• AI Agent, MCP, Tool protection:  Automated run-time controls for Agentic AI Applications, AI Tool Access, Context Security,  Tool invocations, Data leakage.
• Multi-layered Prompt security: In addition to standard content security, moderation policies, the gateway uses a proprietary Domain Specific Language (DSL) to craft advanced prompt security rules. This enables more sophisticated threat detection for prompt-injection attacks, data leakage.
• AI Red teaming service, Integrated Vulnerability scanning: The gateway offers powerful, automatic, continuous vulnerability scanning and AI Red teaming service for LLMs, RAG Applications and AI agents. Offline, Inline test modes, Synthetic data generation, Provides integrations and support for easy and automated configurations for multiple providers, scanners, classifiers including NVIDIA Garak, PyRIT, and LLMFuzzer.
• AI Integrity Monitoring: Detect Data degradation, Data quality issues, model collapse, data governance, mitigate bias. Secure data pipelines, track lineage, Detect data poisoning where attackers inject malicious or corrupt data, Automated detection, Track and Alert Factual, Ground truth, Relevancy, Accuracy scores
  Score, forecast explainability and transparency trends. 
• AI  supply chain security: It assesses the security risks of third-party LLMs versions, AI models, classfiers and datasets, giving organizations audit and control over the components they integrate into their systems.

Discover, track, alert on insecure AI access,  unusual patterns of AI Agents. Trace back to single point-of-origin  with AI lineage. 360 view  command, control,  reconnaissance,  lateral movements.

Detect Adversarial threats on LLMs, Poison, Evasion, Exfiltration, Infiltration, feature corruption attacks using IOC, IOA’s, threat intelligence. Detect malicious injected exploitable deltas.

Automated LLM and AI Agent Vulnerability scans. Domain-specific integration.  AI Agent, LLM, Prompt, RAG Vulnerability DB.

Training, Evaluation, Inference analytics, Log anomaly detection, Metric anomaly detection, Model behavior analytics,  Prompt usage analytics, detect corrupt outputs. Severity, Explainability, Compliance scores. Recommendations, Reviews.

Use domain-specific guardrails. Audit upstream dependency pipelines.
Integrity verifications at runtime. Detect tokenizer manipulations in LLMs. Pro-active Tracking to stop AI supply chain attacks.

Ensure security controls to LLM’s ready for enterprise infrastructure.
Assign the AI service roles on the AI resource’s to Managed identities.
SPOT and STOP Attacks your AI compute, gpu, ext,int traffic, denial  attacks.

Detect, Redact, Alert Sensitive information disclosures, Data privacy violations, PII, PHI, Copyright Legal exposures in all Generative AI applications in environment.

Interoperable with your GenAI stack integrations with top providers, platforms, tools.

Enriched ADR (AI Detection  & Response) events with Alert data and forward to SIEM.