WithSecure
Cybersecurity assistant
Building custom security guardrails slowed delivery. Using managed models, the team launched an AI assistant in under six months.
- AI assistant launch in under 6 months
- 10,000+ companies using AI assistant
Clients struggled to decipher dense threat tables. GenAI now turns raw data into clear, localized narratives in 10 languages.
A cybersecurity provider serving mid-market companies with a flagship platform that presents extensive threat detection data in complex, structured tabular views.
Customers often lacked the specialized expertise to interpret these technical tables, making it difficult to quickly understand their security...
“We want to democratize cybersecurity. Customers don’t need to be cybersecurity experts to use our product, and if they are experts, we make it easier for them to connect the dots.”
Cloud-native cybersecurity and exposure management platform for MSPs.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Building custom security guardrails slowed delivery. Using managed models, the team launched an AI assistant in under six months.
Teams disabled features to cope with alert floods. AI agents now triage threats and cut 40-hour integration builds to 5 minutes.
Scaling required 5 hours of manual review per case. Claude now replicates expert reasoning in under 7 minutes with 95% accuracy.
Building custom security guardrails slowed delivery. Using managed models, the team launched an AI assistant in under six months.
Teams disabled features to cope with alert floods. AI agents now triage threats and cut 40-hour integration builds to 5 minutes.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Clients struggled to decipher dense threat tables. GenAI now turns raw data into clear, localized narratives in 10 languages.
A cybersecurity provider serving mid-market companies with a flagship platform that presents extensive threat detection data in complex, structured tabular views.
Customers often lacked the specialized expertise to interpret these technical tables, making it difficult to quickly understand their security...
“We want to democratize cybersecurity. Customers don’t need to be cybersecurity experts to use our product, and if they are experts, we make it easier for them to connect the dots.”
Cloud-native cybersecurity and exposure management platform for MSPs.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Building custom security guardrails slowed delivery. Using managed models, the team launched an AI assistant in under six months.
Teams disabled features to cope with alert floods. AI agents now triage threats and cut 40-hour integration builds to 5 minutes.
Scaling required 5 hours of manual review per case. Claude now replicates expert reasoning in under 7 minutes with 95% accuracy.
Building custom security guardrails slowed delivery. Using managed models, the team launched an AI assistant in under six months.
Teams disabled features to cope with alert floods. AI agents now triage threats and cut 40-hour integration builds to 5 minutes.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.