Know What's Coming Before It Arrives.
A dedicated AI threat intelligence service - monthly briefings, real-time alerts, and quarterly deep-dives on the attack techniques and adversarial research that matter to your AI systems.
You might be experiencing...
AI threat intelligence is the missing layer in most security programs. Traditional threat intelligence services are excellent at what they cover - malware, CVEs, threat actor campaigns, network-based attacks. But the adversarial ML research community publishes new attack techniques weekly, and that research rarely surfaces in conventional threat feeds until after it has been operationalized by attackers.
The AI Threat Landscape Is Moving Fast
The adversarial AI threat landscape evolves at a pace that challenges even dedicated security teams. In any given month, the research community may publish novel prompt injection techniques, new jailbreak methods that bypass model alignment, improved model extraction attacks, or supply chain vulnerabilities affecting widely-used AI frameworks. AI security conferences like IEEE S&P, USENIX Security, and DEF CON AI Village produce significant new attack research every year. Security-focused AI papers on arXiv can have operational relevance within weeks of publication.
Without dedicated AI threat monitoring, your security team is perpetually reactive - discovering new attack techniques when they appear in incident reports, not before.
Tailored to Your AI Portfolio
Generic threat intelligence is not enough for AI security. A prompt injection technique that affects one model architecture may be irrelevant to a completely different deployment. A supply chain vulnerability in a specific ML framework only matters if you use that framework.
Our AI threat intelligence service begins with a detailed profile of your AI portfolio - the models you use, the frameworks you depend on, the data you process, and the threat actors relevant to your industry. Every piece of intelligence we deliver is assessed for relevance to your specific AI stack. Your team receives actionable information, not undifferentiated noise.
From Research to Action
The most valuable AI threat briefings translate research into action. When we identify a new adversarial technique that affects your AI systems, the alert includes not just the disclosure but a relevance assessment, an impact analysis specific to your architecture, and recommended mitigations your team can implement.
For security teams building an AI security program, the quarterly deep-dives provide the technical depth needed to develop internal expertise - training your team on the AI threat categories that matter most to your organization.
Engagement Phases
Onboarding
AI portfolio review, threat actor profiling specific to your industry and AI use cases, intelligence requirements gathering, alert threshold setting, and research portal access provisioning.
Baseline
Initial AI threat landscape assessment covering your specific AI stack, competitor incident research, relevant adversarial ML research cataloguing, and first monthly briefing delivery.
Continuous Monitoring
Daily monitoring of academic adversarial ML publications, AI security disclosures, threat actor activity, regulatory developments, and AI incident reports. Real-time alerts for critical developments. Monthly report and briefing call delivery.
Quarterly Review
Quarterly deep-dive into an AI threat domain selected based on your portfolio and threat landscape evolution. Updated threat model for your AI systems. Intelligence requirement review and refinement.
Deliverables
Before & After
| Metric | Before | After |
|---|---|---|
| AI Threat Coverage | Zero - no AI-specific threat intelligence capability | Dedicated analyst monitoring AI threat landscape daily |
| Response Time | Critical AI vulnerability discovered weeks after disclosure | Real-time alert within hours of disclosure |
| Board Reporting | Ad-hoc, unstructured AI security updates | Monthly reports and annual board presentation delivered on schedule |
Tools We Use
Frequently Asked Questions
What makes AI threat intelligence different from standard threat intelligence?
Standard threat intelligence focuses on indicators of compromise, malware signatures, threat actor TTPs in traditional IT contexts, and CVE disclosures for software vulnerabilities. AI threat intelligence covers a distinct domain: adversarial machine learning research, LLM jailbreak techniques, prompt injection variants, AI supply chain incidents, model extraction attacks, and regulatory developments specific to AI. The source material - academic ML papers, AI security conference proceedings, responsible disclosure programs - requires specialist expertise to interpret and assess for organizational relevance.
How quickly do you alert us to critical developments?
For critical AI security disclosures - a new prompt injection technique affecting a model type you use, a supply chain compromise affecting an AI provider you depend on, or a zero-day exploit for an AI framework in your stack - we target an alert within 4 hours of confirmed disclosure. Each alert includes an assessment of relevance to your specific AI portfolio and recommended immediate actions.
What is a quarterly deep-dive?
Each quarter, we select a priority AI threat domain based on your portfolio, the evolving threat landscape, and your team's intelligence requirements. We produce a 20-30 page technical research report that goes beyond the monthly briefing level: detailed analysis of attack techniques, case studies from documented incidents, a mapping of techniques to your specific AI components, and defensive recommendations. Topics include indirect prompt injection, AI agent privilege escalation, ML pipeline compromise, and emerging attack research.
Can this service replace our existing threat intelligence?
No - AI threat intelligence is a specialist supplement to your existing threat intelligence program, not a replacement. We cover the AI-specific domain that general threat intelligence services don't. Most clients integrate our monthly report and alerts alongside their existing threat intelligence feed, creating comprehensive coverage of both traditional and AI-specific threats.
What if we don't have a large AI security team to act on the intelligence?
The intelligence service is designed to be actionable for security teams of any size. Monthly reports include clear recommended actions with effort estimates. Alerts include specific mitigation steps. For organizations with limited AI security capacity, we can also provide advisory support as an add-on - helping your team prioritize and implement the recommended actions from each report.
Know Your AI Attack Surface
Request a free AI Security Scorecard assessment and discover your AI exposure in 5 minutes.
Get Your Free Scorecard