Aegis

The detection surface has collapsed.
Aegis sees what content scanners can't.

Social engineering attacks no longer look suspicious. They look like Tuesday. Aegis detects the manipulation — not the typos.

See the Analysis

Content Detection Is Dead

The security industry built social engineering defenses on a flawed assumption: that attackers leave fingerprints. AI has eliminated that detection surface entirely. A threat actor with a consumer AI subscription now produces spear phishing that is grammatically flawless, contextually precise, and tonally indistinguishable from legitimate communication.

What the industry detects
  • Misspelled domains
  • Bad grammar
  • Known phishing templates
  • Suspicious attachments
  • Mismatched logos

These were never signals of malicious intent. They were signals of attacker limitation.

What Aegis detects
  • Psychological manipulation patterns
  • Influence principle exploitation
  • Cognitive bias targeting
  • Behavioral anomalies
  • Trust architecture attacks

The attack isn't in the content. The content is clean by design. The attack is in how it manipulates your decision-making.

Seven layers of behavioral intelligence on every threat

Each message gets a complete psychological decomposition. Not a spam score — a forensic analysis of how the attack is engineered to compromise human judgment.

Layer 01

Threat Verdict

Instant risk classification with a plain-English summary explaining why this message is dangerous, not just that it is. The reasoning is transparent and auditable.

Layer 02

Influence Principle Mapping

Maps the attack to Cialdini's framework of human influence. Shows exactly which psychological levers the attacker is pulling — authority, scarcity, reciprocity, social proof — with evidence extracted from the message.

Layer 03

Cognitive Bias Exploitation

Identifies which cognitive shortcuts the attacker is weaponizing against the recipient. Loss aversion. Urgency bias. Authority bias. Over 30 documented biases detected and explained.

Layer 04

MITRE ATT&CK Classification

Maps the attack to the industry-standard threat framework. Technique IDs, tactic categories. Speaks the language your SOC already uses.

Layer 05

Attacker Intent Analysis

What the attacker actually wants. Credential harvest. Financial fraud. Malware delivery. Mapped to the cyber kill chain phase so you know where you are in the attack timeline.

Layer 06

Response Playbook

Not "be careful." Specific, actionable instructions: what to do right now, what NOT to do, who to report to, step-by-step verification procedures tailored to the specific attack.

Layer 07

Confidence Assessment

Transparent scoring with documented caveats. No black-box verdicts. You see the reasoning, the evidence, and the limitations of the analysis.

See it work

A phishing email arrives. Here is what Aegis produces — in seconds.

Incoming Email
From: [email protected]
Subject: URGENT: Unauthorized access detected
We detected a login from an unrecognized device in Lagos, Nigeria. If this was not you, click here immediately to secure your account. You have 4 hours before access is permanently revoked.
Aegis Analysis
Threat Assessment Critical
Verdict Summary
Credential harvesting attack impersonating Bank of America security infrastructure. Constructs artificial urgency via fabricated unauthorized access narrative to bypass rational evaluation. The sender domain is designed to pass cursory visual inspection while routing to attacker-controlled infrastructure.
Influence Principles (Cialdini)
Authority Strong Scarcity Strong
Authority: Impersonates BofA security team, leveraging institutional trust to suppress skepticism.
Scarcity: 4-hour deadline manufactures time pressure to prevent verification behavior.
Cognitive Biases Exploited
Urgency Bias Authority Bias Fear Appeal Loss Aversion
Loss Aversion: Threatens permanent account revocation to make inaction feel more dangerous than clicking.
Fear Appeal: Lagos, Nigeria reference triggers threat heuristic and geographic suspicion bias.
MITRE ATT&CK
T1566.002 Spearphishing Link
Tactic: Initial Access
Attacker Intent
Credential Harvest Bank Account Credentials
Kill Chain Phase: Delivery
Response Playbook
DO NOT click any links in this message.
DO contact Bank of America directly at the number on the back of your card.
DO verify account status through the official BofA mobile app or website (typed directly, not from this email).
REPORT to Bank of America security at [email protected] and the FTC at reportfraud.ftc.gov.
Confidence
90% — High confidence. Fabricated sender domain, artificial time constraint, and credential harvesting pattern are strongly indicative. Minor caveat: domain ownership not independently verified at analysis time.

Built for the threat that already exists

Every major email security vendor built their product to detect content-level indicators that AI has now eliminated. They are architecturally incapable of pivoting to behavioral detection because their products were designed around content scanning and user training — not psychological analysis and manipulation pattern recognition.

Aegis was built natively for behavioral detection. It doesn't scan for suspicious content. It analyzes how messages are engineered to manipulate human decision-making.

Capability comparison

The features that matter when the content is clean.

Capability Aegis Industry Standard
Psychological tactic breakdown✓✗
Cialdini principle mapping✓✗
Cognitive bias identification✓✗
MITRE ATT&CK mapping✓Partial
Actionable response playbook✓✗
Kill chain phase analysis✓✗
Attacker intent analysis✓✗
Behavioral detection (not content)✓✗
Works when content is "clean"✓✗