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ai security
AegisAI, founded by former Google security execs, lands $36M to stop AI-driven spear phishing
AegisAI, a startup founded by former Google security executives, raised $36 million in Series A funding led by Battery Ventures, bringing its total funding to $49 million. The company focuses on defending against AI-driven spear phishing attacks.
Why it matters: Security teams evaluating AI-powered phishing defense solutions should monitor AegisAI's capabilities as the threat of AI-generated spear phishing increases and becomes more difficult to detect through conventional email filtering.
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- First seen by Cybersecurity Tracker
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ai security
AegisAI, founded by former Google security execs, lands $36M to stop AI-driven spear phishing
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
ai security
AegisAI, founded by former Google security execs, lands $36M to stop AI-driven spear phishing
AegisAI, a security startup founded by former Google security executives, raised $36 million in Series A funding led by Battery Ventures, bringing its total funding to $49 million. The company focuses on preventing artificial intelligence (AI)-driven spear phishing attacks.
Why it matters: Security teams deploying email and phishing defenses need to evaluate whether AI-powered threat detection tools can adapt to AI-enabled attacks that may bypass conventional rule-based filters.
- Source published
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
ai security
AegisAI, founded by former Google security execs, lands $36M to stop AI-driven spear phishing
AegisAI, a security startup founded by former Google security executives, raised $36 million in Series A funding led by Battery Ventures, bringing its total funding to $49 million. The company focuses on preventing artificial intelligence (AI)-driven spear phishing attacks.
Why it matters: Security teams deploying email and phishing defenses need to evaluate whether AI-powered threat detection tools can adapt to AI-enabled attacks that may bypass conventional rule-based filters.
- Source published
- First seen by Cybersecurity Tracker