IBM QRadar AI
IBM QRadar AI — AI product in AI Security.
AImpulse Verdict
IBM QRadar AI holds a score of 52 on the AImpulse Index, placing it in the Rising tier.
Score is down 1 points this week as signals rebalance.
Security categories reward proof and procurement wins; index position reflects who is winning serious evaluations.
This editorial summary is separate from the numeric AImpulse Index score. Vendors cannot buy a higher rank. How the Index works →
Signal intelligence
Twitter/X mentions, Reddit activity, viral posts
Forum threads, Slack/Discord activity, Q&A volume
GitHub stars, forks, npm downloads, API usage
News mentions, funding rounds, analyst coverage
Rank within category vs all competitors
Week-over-week growth in active usage signals
Scores combine six public signal families we observe without vendor cooperation. They are recomputed weekly — not paid placement. How the Index works →
Momentum over 12 weeks
Hover or tap any point to see that week's score. Built from recorded history where available.
Who uses this tool
Best for
Security and IT teams evaluating vendors for detection, posture, and governance.
—
Use case fit
IBM QRadar AI — AI product in AI Security.
AImpulse weights adoption, community, developer pull, press, category rank, and velocity so you see durability, not spikes.
Pricing fit
Typical positioning in this category aligns with Enterprise plans — validate seats and
usage caps on the vendor site.
Pricing & plans
Not verifiedWe only show dollar amounts when pricing is verified. For this tool, use the official site — we will not guess plan prices.
Index label
Enterprise
Primarily sold to organizations with custom contracts, SSO, and security requirements.
- Pricing is usually custom (contact sales)
- May include VPC, compliance, and dedicated support
- Confirm list price vs. negotiated contract on the vendor site
Index pricing labels reflect public vendor pages. Dollar amounts appear only when hand-verified. How the Index works →
Other AI Security tools
6 in viewCommunity notes on IBM QRadar AI
Loading notes…