PROTECT AGAINST AI
AI attack surface coverage, powered by humans
Covering the AI attack surface is everyone’s problem and no one’s job. Let Expel domain experts navigate this new attack surface on your behalf.
OUR DIFFERENCE
Is AI alone enough to protect you?
Autonomous agents leave you with gaps. Effective AI coverage takes human judgment, reach across your whole stack, and deeper visibility than activity logs.
Humans make the call
This threat space is too novel for models trained on history. Humans stay accountable for what agents do. AI-accelerated, not AI-replaced.
AI detection across your whole stack
Our detections find attacker AI use through the full threat lifecycle and within the security tools you already use.
Measure intent, not just activity
An activity log doesn’t show why something happened. Our coverage reads prompt-level signals, showing you intent behind the actions.
HOW IT WORKS
Same MDR, full AI attack surface coverage
AI risk shows up on three fronts—attackers using AI against you, employees feeding data to public models, and the AI systems you’re building—and these signals correlate with data points across the rest of your environment. It’s the same trusted MDR service, same platform, and outcomes you can see. Our threat hunters are also looking for AI risk proactively, so you get ongoing coverage without having to hire in-house experts.
Where does AI fit?
What should (and shouldn’t) be automated in my SOC?
Expel’s Trust vs. Impact Framework is a mental model to help you determine where AI and automation fits in your SOC and where humans should remain.
Why Expel
The muscle behind every Expel attack surface covers this one too: AI-accelerated correlation, detection, hunting, and human judgment across your whole environment.
Humans run it. You see it.
Operators monitor, triage, and respond. You see what they see, with coverage mapped to MITRE ATLAS. No black box. No “trust the agent.”
AI signal, in full context
Correlated with endpoint, identity, cloud, SaaS, and network across 160+ integrations. AI threats aren’t investigated in isolation.
Detections that keep up
A decade of SOC data behind our detections, expanded as threats shift. Not a static rule that ages out.
Hunting for what hides
Hypothesis-driven hunts in your AI tools, run by people, surfacing what automated detection misses.
One team owns the outcomes
Expel runs the coverage across your stack. No new hires, no ramp up period, no new tool to learn. One accountable team.
See where you stand
AI-specific detections are mapped to MITRE ATLAS. Coverage today includes 13 of the 16 tactics.
STAY CURIOUS
Questions we’ve been thinking about
How worried should we be about emerging AI models?
Is Claude Mythos really changing cybersecurity? Listen into this debate between Expel experts and Marcus Hutchins on AI threats and why defenders may still have the advantage.
What is AI’s role in the enterprise SOC?
Get practical guidance on how to build an AI-intentional security strategy that allows for speed and control, featuring Jesse Lands of United Airlines.
Inside Lazarus: How North Korea uses AI to industrialize attacks on developers
Expel is tracking a North Korean (DPRK) state-sponsored APT group. This group is targeting Web3 developers to steal cryptocurrency and NFTs.
Get ahead of AI risks before the board asks.
Human-led coverage across the full AI attack surface, built into the MDR you already run.
Frequently asked questions
Expel MDR for AI covers three domains: attacker use of AI to accelerate intrusions, employee misuse of AI tools that leads to data exposure, and attacks aimed at customer-built AI systems. Expel maps detections to MITRE ATLAS so analysts can understand their coverage and where gaps may exist.
Expel MDR for AI detects AI-shaped attacks across your entire environment, not just endpoints running CrowdStrike Falcon. Falcon AI Detection and Response only sees AI-related activity through Falcon-native telemetry, while Expel correlates identity, cloud, SaaS, and endpoint signals across your existing stack to catch AI-driven attacks Falcon-native tools alone would miss.
Expel MDR for AI works with the AI tools and platforms you already have deployed through a direct API integration. Expel ingests telemetry from your existing security stack as a bring-your-own-tool MDR provider, adding AI-specific detection and response on top of tools you already run.
Expel detects three categories of AI-specific threats: attackers using AI for purposes like generated phishing lures and automated reconnaissance, employees exposing sensitive data through unsanctioned use of tools like Anthropic Claude, and adversaries targeting customer-built AI systems through prompt injection. Expel maps each category to MITRE ATLAS techniques for analyst-level traceability.
Expel correlates AI-specific detections across attack surfaces like cloud, identity, and endpoint to deliver full detection and response, not just visibility into AI tool usage.
Expel detects the signal, automatically correlates it against related activity across other attack surfaces, determines if it’s a threat, and takes remediation actions, including pre-approved auto remediations such as revoking a compromised token. Analysts document every action in Expel Workbench™ so your team has full visibility into what was found and what was done.