The Paradigm of Security: Generative AI in Business

Generative AI Security research Red teams continually research vulnerabilities, risks and techniques.
These resources include threat knowledge base and useful concepts.
Organizations need to responsibly assess and enhance the security of their AI environments development, staging, production
for Generative AI applications and Workflows in Business.

See through that smoke screen that  obscures Model, Data movements.

To Counter the challenges:

360 view

• North-South

  • Command and control
  • Exfiltration
  • Infiltration

• East-West

  • Reconnaissance
  • Lateral movement

A whole new breed of attacks on Generative AI that are coming.

The stakes are far higher.

Models and Pipelines not just a haven for attack activity but the actual means of an attack..

From Asset Discovery , Catalog to Evaluation Reports and Trained data

• Discovery
• Tracking
• Lineage

Identify

• Rogue pipelines
• Rogue models

can perpetuate fraud or Transferred, Manipulated , Diverted, processes subverted  Training, Inference activities.

Tracking Analysis ,  Lineage Analytics

• AI Resources
• Pipeline Operations
• Models, Model Versions
• Experiments, Jobs, Runs
• Reports & Alerts

Catalog, Data sources, data types, versions, classification, sinks, pipelines, models, evaluations, cluster, compute, subnet, infrastructure,  staging, dev, prod environments.

Trace back trained and pipeline data to single point-of-origin.

Security for AI assets

Associated Risks, Recommendations

Models, Pipelines, Datasets

Environments and Versions

Evaluation and Behavior Analytics

Severity, Explainability, Compliance scores

Recommend policies

The report on the findings,

The State of Risk Management

Collect key insights across all AI artifacts across All  Environments

Risk Analytics, including:

The top risks,

•     Log anomalies
•     Metric anomalies
•     Model & LLM vulnerabilities
•     Health status of pipelines
•     Data quality issues
•     and Percent changes.

By  Daily,  Weekly, Monthly by Environment.

Assign, Review Issues by keywords, filters, query, export

Best practices to improve overall Posture and Organizational AI resiliency.

Use tools like ALERT AI can help the Security Posture automation.

Generative AI & AI Alerts  include

Model behavior Analytics

AI footprint Forensics

Data Leakage Alerts, LLM pipeline Alerts, Model & LLM Alerts, Evaluation alerts,

Inference Alerts, Compute Alerts, Sensitive content Alerts, PII & PHI, Privacy and Trust Alerts.

Vulnerabilities scan alerts,   Adversarial ML & Adversarial LLM Alerts MITRE ATLAS Threat Mapping , OWASP  LLM Risks Alerts.

Alert and Threat Hunting Engine like ALERT AI can help the coverage and enhance the Security of AI use cases and Business workflows.

Using Domain specific LLM security, Domain specific guardrails  using End-to-End, Interoperable Generative AI security solutions like ALERT AI.

• Suppression list entries
• Removal requests
• Redaction and Obfuscation

AI Privacy Risks

Intelligent Malware

Data Manipulation and Poisoning

Disinformation Attacks

Misuse of AI tech to spread disinformation among the public

• Model Vulnerabilities
• LLM Vulnerabilities
• Model and LLM Risks
• Privacy, Trust, Security

Class of  Vulnerabilities Categories include:

Prompt Injection

Perturbations

Misinformation

Content Generation

Output Formatting

Information Disclosure

Stereotypes

Discrimination

Correlation

Use AI security end-to-end , interoperable services like ALERT AI  to Integrate, Interop and Integrate with Vulnerability Scan libraries and Correlate with AI stack resources and tracking, Threat Hunting, Alerting.

Generative AI exposes

A new class of Attack Vectors.

Threat actors are exploring this opportunity to strike and steal, seize and derail Business Operations.

These new set of exposures escape Current Firewalls

Serious Generative AI Security risks

in Business  use case and workflows  are

Sensitive information disclosure

Data Privacy Violations

Copyright and Legal exposures

Governance

Compliance scores

Explainability scores

Risk scores

Forensic Analytics data and charts, visualizations

Model, Pipeline, Alerts

Model Versions vs Associated Risks

Model Versions vs Activity Log

Pipeline vs Training time Alerts

Model vs Training time, Inference time Alerts

Model Versions vs Evaluation Alerts

Model Versions vs Behavior Analytics

Alert distribution chart by category etc

Generative AI & AI Security solutions like ALERT AI can help automate the above necessary steps and provide peace of mind Security posture.

Build Security muscle – fortify prevention for security

and protection for ensure integrity.

Generative AI Model Behavior Analytics

Alert types

Including Drift, Outliers, Errors, and Latency, help in monitoring the behavior of ML & GenAI models.

Sensitivity and Specificity

Setting thresholds for Alerts requires a balance between sensitivity and specificity.

Clear procedures for alert response and escalation ensure efficient issue resolution.

Alert data

Continuously gain valuable insights for model performance improvement and any malicious activity.

Illustration of an  example in  Threat Landscape

At Alert AI, we continuously adding detections, converage updates to safeguard the threat landscape in GenAI land.

End-to-End, Interoperable Security solutions like Alert AI, can provide robust posture, protect Serious security risk in GenAI and prevent intelligence loss prevention in Business workflows and environments.

Alert AI Alert engine and Threat hunting in AI Incidents and Footprint, with Alerts, Recommendations, Feedback loop,  reduces  Organization’s overall Generative AI security risks with proactive mitigation and robust posture.

“Best way to secure AI is to start right now…”