Close Outside-In Gaps with Our Threat Intelligence Platform
Stop chasing alerts; start seeing patterns. Bolster AI Signals turns raw threat data on our threat intelligence platform into actionable threat intel to stay ahead of threat actors.
Cyber Threat IntelligenceTo Protect Your Brand
Threat actors build spoofed apps and domain infrastructure months before launching cyberattacks. This creates an “outside-in” gap between infrastructure creation and weaponization.
Most security tools miss this gap, preventing security teams from taking preventative action before malware or phishing strikes.
Fraud disconnected from security
Security teams fail to connect threat data to cyber threat risks, leaving severe gaps in threat protection.
Slow Threat Analysis & Incident Response
Security analysts waste days correlating threat information, slowing critical incident response times.
Unclear Ownership
CISOs drown in alerts without strategic threat intelligence to guide security strategies or justify investments.
Fragmented Threat Intelligence Sharing & Silos
Security, legal, and risk teams operate in silos without a cyber threat intelligence platform to share intel.
Introducing Bolster AI Signals
Detect Cyber Threats Before Attacks Escalate
Threat actors launch fake domains weeks before deploying malware. Standard security tools only detect cyber threats after impact. Bolster AI threat intelligence platform closes this gap.
Bolster Signals upgrades our cyber threat intelligence platform, turning raw threat data into actionable intelligence. Unlike Anomali ThreatStream, MISP, or Rapid7 Threat Command, Bolster AI automates threat hunting and threat correlation in real time across the entire threat landscape.
99.999%
Accurate Threat Detection3+ Million
Scans for Threat Correlation10+ Billion
Automated Response Actions1500+
TLDs Monitored for VulnerabilitiesAsk Bolster Key Capabilities
Get answers in seconds. Our threat intelligence platform automates threat analysis, ingesting open-source threat intelligence and APIs to streamline security operations.
Compare your threat data against global baselines. Leverage operational threat intelligence to spot threat campaigns and evaluate intelligence requirements.
Deliver tactical threat intelligence to leadership. Equip security architects with clear insights to optimize security information and guide future investments.
Connect legal, trust, and SOC teams with unified intelligence feeds. Integrate with your SIEM to ensure full visibility into intelligence operations.
CaptivateIQ Automates Threat Protection & Takedowns
Discover how CaptivateIQ leverages our threat intelligence platform for automated threat detection and rapid takedowns without wasting manual engineering resources.
Even if you feel like you’re a company that’s not in a highly targeted space like the financial industry, you still can be affected by attacks. Working with Bolster has been a great experience and it’s especially important for us to help other out there.
Ready to get started?
Explore what Bolster AI can do for you with a custom demo for your online business to understand existing online threats and how Bolster can take them down. Contact our sales team for pricing and packages today.
What is Bolster AI Signals?
Bolster AI Signals is the intelligence layer that sits over the detection data in the Bolster AI platform. It turns raw fraud and impersonation findings into patterns your team can act on, so analysts spend less time correlating data by hand. You can query it in plain English, compare your activity against industry peers, and pull reporting built for a leadership audience.
Why does attack infrastructure show up before an attack does?
Attackers build before they launch. Fake domains, spoofed apps, and impersonating accounts are often registered and staged months ahead of the campaign that uses them. Bolster AI Signals is built to surface that activity while it’s still being assembled, which is when it’s cheapest to disrupt.
Which parts of the Bolster AI platform does Bolster AI Signals cover?
Bolster AI Signals draws on the detection data the Bolster AI platform is already producing for you, so it reflects whichever modules you run. The more of your external attack surface Bolster AI covers, the more complete the picture Bolster AI Signals can build.
How is Bolster AI Signals different from a dashboard?
A dashboard shows you what happened. Bolster AI Signals is built to answer why it happened and whether it’s unusual, by connecting detections across your external attack surface and setting them against peer and global baselines. Analysts ask questions in plain language instead of exporting data and assembling the comparison themselves.
Can I ask Bolster AI Signals questions in plain English?
Yes. Bolster AI Signals includes natural language querying, so an analyst can ask a question directly instead of writing a query or pulling an export. That matters most during an investigation, when the time spent gathering context is usually what slows the response down.
What is peer benchmarking in Bolster AI Signals?
Peer benchmarking measures your fraud and impersonation activity against industry peers and global baselines. It answers the question analysts ask first when volume spikes: is this normal for our sector, or is something targeted happening to us? Without a baseline, every spike looks either alarming or routine, and neither read is reliable.
Who inside a security team uses Bolster AI Signals?
Bolster AI Signals is built for the people who run external threat response and the leaders who fund it. Analysts use it to shorten investigations. Security leaders use it to explain external risk to executives in business terms instead of threat counts.
Does Bolster AI Signals help with executive reporting?
Yes. Bolster AI Signals gives security leaders threat activity framed as business risk rather than a queue of alerts. That’s usually the gap they hit when they try to justify continued investment in external threat protection.
Do fraud, security, legal, and trust and safety teams see the same data in Bolster AI Signals?
They work from one shared set of detection data, with each team viewing it through the lens that fits their job. Fraud, security, legal, and trust and safety teams have historically worked from separate tools and separate numbers, which is how one campaign ends up investigated three times.
How do I see Bolster AI Signals against my own brand?
Request a demo at https://bolster.ai/request-a-demo and Bolster AI will walk through Bolster AI Signals using activity targeting your own domains and accounts rather than a sample environment. That’s the fastest way to judge whether the benchmarking and query workflow fit how your team already investigates.