Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
An applied AI lab builds agents to automate critical security tasks for Fortune 1000 enterprises, where security scanners routinely surface thousands of vulnerabilities daily.
While discovering vulnerabilities is straightforward, determining which issues matter requires manually synthesizing data across scanners, endpoint...
“AI has shifted the balance of power in cybersecurity. Attackers now automate most of the attack lifecycle, compressing what once took weeks into hours. Meanwhile, defenders still rely on fragmented tools and manual coordination.”
AI agents for investigating and resolving security vulnerabilities.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Cogent's Vulnerability management is part of this use case:
Related implementations across industries and use cases
Analysts spent days building reports from slow, siloed tools. Now, they ask a question and an AI agent instantly generates an accurate chart.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Static workflows bottlenecked complex tasks. Now, Claude coordinates 8 agents to generate unique execution strategies for every query.
Experts lost two hours daily gathering intel. AI now analyzes alerts automatically, freeing teams to focus on strategy.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Tracing vulnerabilities across scattered tools took days. Now, AI agents autonomously synthesize threat data and draft precise fixes.
An applied AI lab builds agents to automate critical security tasks for Fortune 1000 enterprises, where security scanners routinely surface thousands of vulnerabilities daily.
While discovering vulnerabilities is straightforward, determining which issues matter requires manually synthesizing data across scanners, endpoint...
“AI has shifted the balance of power in cybersecurity. Attackers now automate most of the attack lifecycle, compressing what once took weeks into hours. Meanwhile, defenders still rely on fragmented tools and manual coordination.”
AI agents for investigating and resolving security vulnerabilities.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Cogent's Vulnerability management is part of this use case:
Related implementations across industries and use cases
Analysts spent days building reports from slow, siloed tools. Now, they ask a question and an AI agent instantly generates an accurate chart.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Static workflows bottlenecked complex tasks. Now, Claude coordinates 8 agents to generate unique execution strategies for every query.
Experts lost two hours daily gathering intel. AI now analyzes alerts automatically, freeing teams to focus on strategy.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.