
AI email security for modern AI attacks
Transparent, explainable AI agents shut down attacks at the level of autonomy you’re comfortable with.

Why AI email security matters now
AI-generated email attacks are on the rise. Adversaries are now able to craft, deliver, and refine attacks at the speed and scale of AI. The only way to stop them effectively is with AI email security.
Stop bespoke threats targeting your org
Machine learning understands what’s normal for your organization and uses behavioral context to catch bespoke attacks.
Keep pace with GenAI attack evolution
AI agents identify coverage gaps and close them quickly. No need to wait for a model update or new rule from a security vendor.
Cut investigation time, reduce noise
Autonomous AI security agents handle 99% of attack analysis and triage, letting security teams focus on high-priority issues.
Make all decisions fully explainable
Agents provide full reasoning for every step they take, so security teams can validate coverage or pivot to a larger investigation.
Modern email threats AI is designed to address

Business email compromise (BEC)
BEC is not about malware. It is about persuasion. Attackers impersonate executives, finance teams, or trusted partners to push wire transfers, gift card requests, payroll changes, and invoice fraud.AI-driven email security helps by recognizing intent, social engineering patterns, and suspicious changes in sender behavior (for example: first-time finance requests, atypical urgency, or unusual reply-to patterns).
Credential phishing
Credential phishing is still one of the fastest paths to takeover. Modern phishing uses lookalike domains, targeted language, and realistic login pages.AI-driven email security helps by analyzing destinations, extracting signals across links and content, and identifying behavior that indicates credential theft (for example: brand impersonation cues, redirect chains, and newly-seen lookalike domains).
Prompt injection and AI manipulation
Prompt injection is an exploit type in which adversaries add extra text to a prompt to confuse an AI model into doing something unintended, usually to reveal information or perform actions outside the bounds of their guardrails.AI-driven email security is built to both withstand these attacks and recognize the signals within to identify malicious intent.
Latest on AI email security
Sublime’s AI email security agents
Sublime pairs platform depth with a team of AI agents built for email security operations.
ASA
Autonomous Security Analyst
Instantly triages user-reported emails, clearing your abuse mailbox and freeing up your analysts.
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ADÉ
Autonomous Detection Engineer
Proactively authors new, backtested detections for emerging threats, ready for your one-click approval.
See Sublime’s AI email security in action in your environment
Get a live demo of ASA and ADÉ to see how Sublime’s AI email security can keep you safer. See the evidence and reasoning behind every decision and how quickly you can close gaps after a miss.
Real-world results from Sublime’s AI email security
20x
attacks automatically prevented
95%
of user-reports triaged by ASA
~100hours
reclaimed annually by analysts
Frequently asked questions
Why does traditional email security fall short?
Traditional email security was built for yesterday’s threat model. It often depends on static signatures and generic rules that break as soon as attackers rewrite a lure, rotate domains, or shift infrastructure. It also struggles with subtle, context-driven threats where a message may look “clean” in a generic filter, but becomes suspicious when you factor in your organization’s relationships, sender history, and normal workflows. Finally, when detections operate like a black box, teams lose time validating decisions, explaining outcomes, and tuning coverage – often requiring vendor tickets and slowing iteration. The result is more manual triage, more noise, and slower response as volume increases.
What is AI email security and how does it work?
AI email security applies machine learning and automation to detect and stop email threats, then speeds up investigation and response. The best tools also explain their decisions so teams can verify results.
How is AI email security different from traditional email security?
Traditional tools rely on static patterns and slow update cycles. AI email security is better at detecting targeted and fast-changing attacks, and it helps teams respond with less effort.
How does Sublime use AI to improve email security?
Sublime uses AI agents to reduce workload and close detection gaps quickly, backed by transparent logic. ASA triages reported emails in seconds. ADÉ generates new coverage in hours, with backtesting and clear reasoning for review.
How does AI email security reduce investigation and response time?
It automates triage, prioritizes evidence, and recommends actions so analysts spend less time sorting noise and more time stopping real threats.
Does AI email security actually stop phishing and business email compromise (BEC)?
Yes, when it combines strong detections, environmental context, and effective response workflows. Phishing and BEC both depend on subtlety and timing. AI helps identify intent and reduce the window attackers can exploit.
Can AI email security reduce false positives and missed threats?
Yes. AI can improve both sides of the equation when it has the right context and when detections can be tuned to the environment instead of relying on generic logic.
Now is the time
See how Sublime delivers autonomous protection by default, with control on demand.
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